BIG LIST OF WEBSITES

List of Top Websites on Infected

Top 250 Websites on INFECTED

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Last updated on Jul 1 2019.
Here are the best websites we found: scamadviser.com • malwareremoval.com • barelyinfected.com • malwareremoval.com • goldenfarmbiz.wordpress.com • technicalinfected.com • infectedcolors.com • rock-is-my-lifeyeah-blog.tumblr.com • testinfected.blogspot.co.uk

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Scamadviser.com | check a website for risk | check if fraudulent | website trust reviews |check website is fake or a scam. Check if a website is a scam website or a legit website. Scamadviser helps identify if a webshop is fraudulent or infected with malware, or conducts phishing, fraud, scam and spam activities. Use our free trust and site review checker.
Alexa Rank
10,567
Free Malware Removal | Community support for infected computers. Malware Removal provides free support for people with infected computers. Using plain language that anyone can understand, our community of volunteer experts will walk you through each step of our malware removal process.
Alexa Rank
442,133
DayZ Village News - Barely Infected - Also home of the DayZ Village. Official website of Barely Infected and the DayZ Village ■ Created by Barely Infected ■ Join The Village Today!
Alexa Rank
749,974
Free Malware Removal | Community support for infected computers. Malware Removal provides free support for people with infected computers. Using plain language that anyone can understand, our community of volunteer experts will walk you through each step of our malware removal process.
Alexa Rank
1,000,001
Reviews of Golden Farm : Scam or legit ? – check if golden-farm.biz is a scam website or a legit website. Is golden-farm.biz fraudulent or infected with malware, phishing, fraud, scam and spam activity.. check if golden-farm.biz is a scam website or a legit website. Is golden-farm.biz fraudulent or infected with malware, phishing, fraud, scam and spam activity.
Alexa Rank
1,000,001
Technical Infected - Symbol of Creativity. Symbol of Creativity
Alexa Rank
1,000,001
Infected Colors Productions
Alexa Rank
1,000,001
Quotes of Infected RAIN
Alexa Rank
1,000,001
Test Infected
Alexa Rank
1,000,001
The Official Blog Of Infected Rain
Alexa Rank
1,000,001
Linux/Unix, Open Source, Programming, and hacks | Tech Infected. Linux/Unix, Open Source, Programming, and hacks
Alexa Rank
625,927
ScamAider.com - check website is scam, legit, fraudulent, review, safe, risk or infected with malware.. Would you like to know which websites you can trust? ScamAider: Check which website to Trust, Check how safe a Website is to buy from!check if it is a scam or a legit website
Alexa Rank
655,929
Infected by Art
Alexa Rank
1,000,001
Infected Mushroom
Alexa Rank
1,000,001
www.johnDball.com – "You can't get infected if you can't get connected."
Alexa Rank
1,000,001
The Scottish Infected Blood Forum | SIBF. The online hub for those affected by NHS contaminated blood and blood products
Alexa Rank
1,000,001
VirSCAN.org - Free Multi-Engine Online Virus Scanner v1.02, Supports 47 AntiVirus Engines!. VirSCAN.org-free virus scan is a free online scan service, utilizing various anti-virus programs to diagnose single files.
Alexa Rank
24,125
Tech Tic Altervista - Software That Matters. Tech Tic is a blog from where people can get free software's with their cracks. The software's that we provide are not infected by any knid of virus. So, download it without thinking.
Alexa Rank
63,747
Bone and Joint Infection. Learn the latest on Bone and Joint Infections, Osteomyelitis, Peri-prosthetic Infections (PJI), Septic non-unions, Septic arhtritis, Infected Osteosynthesis
Alexa Rank
1,000,001
Monsters (Official Movie Site) - Starring Whitney Able and Scoot McNairy - Now on VOD, DVD and Blu-ray™ - Trailers, Pictures & More. Six years ago previously, a NASA probe returning to earth with samples of an alien life form, crashed over Central America. Soon after, new life forms began to appear, and half of Mexico was quarantined as an INFECTED ZONE.
Alexa Rank
1,000,001
How to, Technology and PC Security Forum - SensorsTechForum.com. We are online security blog and a forum, updated daily with the latest PC security news, ransomware and viruses removal guides . A team of researchers examines malware thoroughly to provide the latest, up-to-date information on malware removal. The team publishes removal articles to help users remove viruses and restore files encrypted by ransomware. Infected users will be guided through the removal process of malware in step-by-step tutorials.
Alexa Rank
81,891
PC Virus Care | Complete Caring Tips To Eliminate PC Viruses. Best tips to delete Search.heasyfreerecipes.com If your current homepage and search page gets replaced with Search.heasyfreerecipes.com and you are seeking for its removal method then you have reached right place. With given solution in this guide, you will be able to get rid out of annoying trouble with ease and minimal effort. You are advised to follow given instruction by reading this article carefully. Search.heasyfreerecipes.com is identified as dangerous browser redirect virus that makes entry on your computer and causes plenty of annoying troubles. It has been developed by group of cyber hackers with their evil intention and wrong motives. Once manages to get inside, it makes changes to current homepage, search and new tab without having your any permission or knowledge. Due to attendance of this creepy malware, you have to encounter with problems such as sluggish and unresponsive PC behavior, occurrence of false alert messages and notification, web search redirection and others. Search.heasyfreerecipes.com virus comes packaged with several unwanted toolbars, add-ons, plug-ins and extension that take high CPU resource and drag down overall functioning of PC. It has ability to flood your computer screen with tons of ads and pop ups that show attractive offers, deals, discount, coupon codes and others. It tries to convince you for purchasing some spam products and services online. Most of security applications finds difficult to detect and eliminate this threat due to its nature to change location and name. It drops other malware such as Trojan, worms, rootkits, backdoor and others. It affects overall functioning of computer and restricts to perform normal tasks both online and offline. To avoid all such problems, it is advised to opt for Spyhunter Anti-Malware. It helps you find out all infected items and eradicates permanently. How Search.heasyfreerecipes.com makes entry on your computer? There are several illegal and unethical methods opted by hackers to infect your PC. Some common are as mentioned below: It attacks your PC via spam or junk email attachments Shareware or freeware downloads of games, movies, video codecs, etc Use of infected storage device such as pen drive, hard disk, memory cards, etc Visiting adults or unsafe websites Search.heasyfreerecipes.com virus is capable of adding corrupt entries to registry editor and damages system files that are important for smooth and proper functioning of PC. It creates several unwanted shortcuts, duplicate files or folders that consume high CPU resource and drag down overall performance. It has capability to deactivate security application and disable firewall settings without having your any permission or knowledge. If this threat manages to sustain for longer time, you may have to suffer with problems such as crashes or freezes of computer, hamper of vital hardware components, deletion of important system files and others. To get rid out of all such issues, it is suggested to take quick action to remove Search.heasyfreerecipes.com and its other related files. The worst part of this infection is to run secretly in background and collect data such as IP addresses, credit card number, password of social sites, etc. All such gathered data are automatically transported to remote server of hackers. How to get rid of Search.heasyfreerecipes.com related issues from Windows OS? There are two popular solutions that will help you eliminate Search.heasyfreerecipes.com easily from infected PC Solution A: Eliminating infectious files using manual removal steps (Only for Technical users) Solution B: Uninstall all unwanted files effectively using Automatic removal method from Windows PC (For both technical & non-technical users). Click Here to Download Automatic Anti-malware Tool. Special Offer Search.heasyfreerecipes.com is determined as very transmittable computer virus. It makes place on your computer deep inside system memory and makes removal task complicated. You can go through Spyhunter Anti-malware and check that it detects this threat for you. If you find this malware, you can go for its proper removal procedure as discussed below in this article. If you wish to know How Spyhunter works click on hyperlink. You can also check SpyHunter's EULA, Threat Assessment Criteria, and Privacy Policy. You need to be sure that only scanner of Spyhunter is free. If scanner detects this threat, it will subject to a 48-hour waiting period, one remediation and removal. If you are looking to remove this threat instantly then you need to purchase licensed version of this Anti-Malware tool. Solution C: Steps for users facing Search.heasyfreerecipes.com issues in Mac OS Solution A: Eliminating infectious files using manual removal steps (Only for Technical users) Step 1: End all infectious processes completely from Windows Task Manager At first CTRL+SHIFT+ESC keys together to open process tab in task manager Next select suspicious running process and click on End process to stop it Step 2: Uninstall Search.heasyfreerecipes.com and other malicious programs from Control Panel At first press Windows +R key together to open run box Now type "Control Panel" and click on OK button Next select "Uninstall a program" option under control panel Now search for all related files and click on uninstall to delete it permanently Step 3: Delete all suspicious registry files associated with Search.heasyfreerecipes.com At first click on Windows +R key together to open Run box Next type regedit to open Windows registry and search for entries related withit HKEY_LOCAL_MACHINESOFTWAREsupWPM HKEY_LOCAL_MACHINESYSTEMCurrentControlSetServicesWpm HKEY_CURRENT_USER\\Software\\Microsoft\\Windows\\CurrentVersion\\Uninstall\\[virus name] HKEY_LOCAL_MACHINE\\SOFTWARE\\Microsoft\\Windows NT\\CurrentVersion\\Image File Execution Options\\msseces.exe HKLM\\SOFTWARE\\Classes\\AppID\\.exe HKEY_CURRENT_USERSoftwareMicrosoftInternetExplorerMain "Default_Page_URL" Step 4: Terminate suspicious add-ons and extension related with Search.heasyfreerecipes.com For Firefox: At first click on menu button and choose Add-ons In add-ons manager tab select for Extensions or Appearance panel Now eliminate all suspicious extension that are useless Finally click on Disable or Remove button and restart your PC For Chrome: At first you need to click on Chrome menu on browser toolbar and select Tools option Now select Extension and click on trash can icon to completely eliminate infected files You will see confirmation dialog box on display screen, click on remove to end process For Internet Explorer: At first open Internet Explorer and go to tool button and then select manage add-ons option Next select all suspicious add-ons and delete it completely You can go through the process by clicking on Remove option or go for Disable button to end process Solution B: Uninstall all unwanted files effectively using Automatic removal method from Windows PC (For both technical & non-technical users) Guide to remove Search.heasyfreerecipes.com through Automatic Removal Tool Spyhunter is a powerful anti-malware that has been developed by highly skilled experts using advance mechanism and sophisticated algorithms. It helps you uninstall Search.heasyfreerecipes.com and all its other related files permanently in few simple mouse clicks. Using this removal tool, you can eliminate all kind of malware including Spyware, Trojan, rootkits, worm, backdoor and others. It is compatible with all versions of Windows including XP, Vista, 7, 8 and others. Below are some of salient features of automatic Search.heasyfreerecipes.com removal tool: It is inbuilt with rich user interface that helps non-technical users to easily eliminate infected files It provides facility of custom scan that helps you to scan certain portion of computer like memory, registry, files, rootkits and others It also gives 24*7 help support when you find hard to eliminate some threat from PC It facilitates you with real time protection feature that restricts entry of new threat over your computer SpyHunter is recommended to remove Virus, Trojan, Browser Hijacker, Adware, Ransomware, Rootkit, Worm, and all other Issues you are experiencing on your PC. REMOVE IT NOW! Free scanner allows you to check whether your PC is infected or not. What is SpyHunter? SpyHunter is an anti-malware and is a Windows PC protection tool which will thoroughly scan the PC for searching and identifying malware attacks, block malware, adware, spyware and other Potentially Unwanted Program. Its scanning algorithm and programming logics are continuously updated so that it tackles the latest malware infections. It security patches are regularly updated so that it could detect most lasted and sophisticated malware. SpyHunter is an all-in-one Online PC protection application that has been developed by security experts and it is incorporated with precisions programming. It provides a complete protection and security. With the help of its user-friendly interface, it can easily be used even by novice and non-technical users. SpyHunter has a very advanced and exclusive ant-malware engine that is capable to protect your Windows PC with all kinds of malware. Additionally, It offers a depth scan in order to identify the programs that is causing troubles and containing reported troubles. It can easily delete Potentially Unwanted Program (PUA) that users perceive as unwanted. SpyHunter is capable to detect and remove Trojan, adware, rootkits, PUP, worms and so on. How Does SpyHunter Works? SpyHunter has a very advanced scanning architecture. It features a multi-layered System scanner which can detect old and new threats. It provides the option of customizing the scans. The other helpful feature is its cloud-based capabilities for detecting highly advanced and sophisticated malware and providing complete protection from it. Anyone who user SpyHunter can expect high level performance, advanced detection method and overall System efficiency. If offers feature like scanning the particular drives or folders, previous scan log view, manage the quarantined objects and also pick objects which you want to exclude from future scans of SpyHunter. With the help of multi-layered scanning feature, SpyHunter can easily differentiate between data privacy issues, vulnerabilities, Potentially Unwanted Program, Privacy Issue, Malware attacks. And thus, help user customize and take appropriate actions as they want. SpyHunter especially focus on taking quick action on newly detected threats. The real-time malware blocking capability of SpyHunter helps it to prevent the attack, download and installation of all kinds of threats. It can easily detect and remove the most aggressive malware. With the help of SpyHunter's heuristic detection capabilities, the rootkit which uses file hiding and encryption techniques easily gets unmasked. It can easily identify zero-day threats. In some cases, Windows Operating System may lock the malware objects and it can get difficult to remove or quarantine. So, tackle such situations, SpyHunter has a specialized process to perform System booting in customized environment and remediate malware at the lower level of the System. It has been reported that cyber-criminals using browser cookies for extensive tracking purposes. As you know, the cookies all the information related to browsing habits and browsing history of users. So, SpyHunter scan the cookies that are possibly representing privacy issues. The SpyHunter Customer Support System is also robust and helpful. The SpyHunter HelpDesk will assist the users for their regular queries as well as deliver custom fixes to particular issues and malware problems. The technical support team will provide one-on-one assistance to each subscriber until the issue gets resolved and subscriber is fully satisfied. How Can SpyHunter Benefits Users? Malware Detection and Removal: Detects and remove all kinds of malware such a virus, browser-hijacker, keyloggers, Trojan, adware, ransomware, rootkits and many more. Advanced Removal Capabilities: SpyHunter has a very advanced scanning algorithm and mechanism. It customizes low-level OS that beneath works below Windows easily remove all the latest, sophisticated and stubborn malware Detects Potentially Unwanted Program and Fix Privacy Issues: SpyHunter can easily detect PUP, Greyware, tracking cookies and other perilous infections. User can customize to separately remove or exclude these programs if they wish Exclusion: This provide the option to exclude certain programs from SpyHunter scans in future Regular Updates and Security Patches: The malware detection database of SpyHunter regular gets updated and thus it can easily remove latest malware threats User Friendly Interface and 24*7 Customer Support: The front user interface of SpyHunter is very simple and easy to use. Further, SpyHunter offers HelpDesk feature to provide one-on-one customer support service. If you are not able to automatically fix your PC issues with SpyHunter, the problem will be further handled with the team of security experts on one-on-one basis. Customized Malware Fixes: With the feature of SpyHunter HelpDesk, the support team can deliver custom malware fixes to unique problems of the users. The support team and technical experts will analyze the diagnostic report and will provide custom fix that can be executed by SpyHunter. Special Offer Search.heasyfreerecipes.com is determined as very transmittable computer virus. It makes place on your computer deep inside system memory and makes removal task complicated. You can go through Spyhunter Anti-malware and check that it detects this threat for you. If you find this malware, you can go for its proper removal procedure as discussed below in this article. If you wish to know How Spyhunter works click on hyperlink. You can also check SpyHunter's EULA, Threat Assessment Criteria, and Privacy Policy. You need to be sure that only scanner of Spyhunter is free. If scanner detects this threat, it will subject to a 48-hour waiting period, one remediation and removal. If you are looking to remove this threat instantly then you need to purchase licensed version of this Anti-Malware tool. System Requirements: SpyHunter Version: 5.0.0030 SpyHunter File size: 96.3 MB SpyHunter File Format: EXE (Standalone) System Operating Systems Supported Microsoft® Windows® XP (32-bit) Home/Professional/Tablet PC/Media Center (32-bit) with Service Pack 3 or later Microsoft® Windows® Vista (32-bit and 64-bit) Starter/Home Basic/Home Premium/Business/Ultimate Microsoft® Windows® 7 (32-bit and 64-bit) Starter/Home Basic/Home Premium/Professional/Ultimate Microsoft® Windows® 8, Windows 8.1 and Windows 8 Pro (32-bit and 64-bit) Microsoft® Windows® 10 Home/Professional/Enterprise/Education (32-bit and 64-bit) Minimum Hardware Requirements 1 GHz CPU or faster 1 GB of RAM or more 200 MB of available hard disk space or more Steps to delete Search.heasyfreerecipes.com using Windows Scanner Step 1: In first step, you need to download and save scanner software. Next open this application and click on run to start. Step 2: Follow the gives installation to complete its installation and finally click on finish button to exit from installation Step 3: Now click on "Scan Computer Now" button to start its scanning procedure Step 4: In this step, you can view progress of scanning and detection of Search.heasyfreerecipes.com and other threats from Windows PC Step 5: Now you can view all detected threats in thumbnail format with its complete details Step 6: Spyware HelpDesk option gives you technical support 24x7, if you are unable to remove Search.heasyfreerecipes.com from your computer Step 7: System Guard helps you to block upcoming threats that are trying to make place on your PC Step 8: Network Sentry helps you protect your network from trending malware Step 9: Scan Schedule option facilities you to scan your computer at pre-defined time on daily, weekly or monthly basis. Solution C: Steps for users facing Search.heasyfreerecipes.com issues in Mac OS In case if your Mac OS has been infected with Search.heasyfreerecipes.com and you are searching for instant solution then MacBooster is one of the powerful application you can opt for. It is capable to give you simple and fastest solution to cure issues related with this infectious programs. Using the tool, you can make your Mac PC fast, clean and safe from all kind of malicious threats. It has build great reputation among users in very short span of time due to its quick and effective removal procedure. Below are the steps, you need to follow to install MacBooster and remove Search.heasyfreerecipes.com on Mac OS: Step 1: At first all you need is to click on download to install MacBooster Step 2: Now, you need to drag installer file to Application folder to install this program Step 3: Click on Scan button to start scanning procedure Step 4: Finally, click on Fix option to end process and eliminate malicious threats on Mac Tips to protect your computer from Search.heasyfreerecipes.com and other similar viruses in Future Here are some essential points that will help you to protect your PC from any upcoming viruses: Always scan USB or any external device before accessing it Avoid installation of unknown extension, toolbar, add-ons, plug-ins and other while browsing Internet Keep your anti-viruses updated and always make use of its latest version Use anti-malware with real time protection facility Don't open email attachments coming from unknown source Always make complete scan of computer at regular interval
Alexa Rank
125,309
Free Wordpress Themes and Plugins download daily – GPL Coffee. Need that Wordpress theme or plugin for your website? Look no more. GPL Coffee is the best download site for web developers, freelancers, bloggers and marketers that use Wordpress as their primary web framework. The items a bound to GPL 2.0+ license. No malicious or infected items. And you got 2 free downloads per day!
Alexa Rank
143,370
I don''t care about cookies 3.0.1. Get rid of annoying cookie warnings from almost all "infected" websites!
Alexa Rank
166,949
Homepage - Ndemic Creations. Plague Inc. is a unique mix of high strategy and terrifyingly realistic simulation. Can you infect the world? Your pathogen has just infected ''Patient Zero''. Now you must bring about the end of human history by evolving a deadly, global Plague whilst adapting against everything humanity can do to defend itself.
Alexa Rank
173,065
Billy Penn: Philly''s source for local news, info and things to do. Original reporting plus a carefully curated mix of important and fun news about Philadelphia.
Alexa Rank
97,492
Adversary Simulation and Red Team Operations Software - Cobalt Strike. Cobalt Strike is threat emulation software. Red teams and penetration testers use Cobalt Strike to demonstrate the risk of a breach and evaluate mature security programs. Cobalt Strike exploits network vulnerabilities, launches spear phishing campaigns, hosts web drive-by attacks, and generates malware infected files from a powerful graphical user interface that encourages collaboration and reports all activity.
Alexa Rank
301,028
Icon/Mosquito/White. Just one bite from an infected mosquito can transmit potentially deadly heartworm disease. Protect your dog with HEARTGARD Plus.
Alexa Rank
315,003
Protection against Virus, Malware, Adware & Ransomware – Howtoremoveit. Destroy All types of threats and virus from your computer. Is your computer infected with malware, adware, browser hijacker? Then Visit How To Remove It.
Alexa Rank
321,639
Arik Yavilevich's blog | "Code IT", my thoughts on technology. With the release of Android 8.0 ("Oreo"), I as well as others have noticed that they cannot find some HM-10 clone BLE modules when scanning for them with an Android 8.0 (or newer) phone. Why is that happening and what can you do about it? tl;dr, the issue is due to a bug in the firmware of those modules, typically referred to as CC41 firmware. Fixing these modules is too much of a hassle and you would probably be better off getting a new module for communicating with Android 8.0 and perhaps use the problematic ones for iOS and pre Android 8.0 devices only. I have several projects which involve BLE, most noticeably Fochica, a system that alerts parents if they have unintentionally left their children in a vehicle. As a result I have been dealing with all sort of BLE modules in the last couple of years. Many of these modules are in a category called "HM-10 clones". I have written an Arduino sketch, arduino-ble-ident-n-set, to help identify the specific module type and to help configure it easily. Typically listed or sold as just "HM-10" these modules are a group of modules that share a form factor, pin layout and a micro-controller (the TI CC2541). While trying to mimic the original HM-10 by "Jinan Huamao technology Co" they differ by firmware, breakout board and daughter board. When ordering online it is very difficult to know which exact combination you will get. Only the original HM-10 modules have some kind of support, while other variations are mostly made by anonymous clone manufactures. I personally have dozens of modules with 6 different unique combinations, including 2 variants of CC41, 2 variants of MLT-BT05, an original HM-10 and a botched CC41 that I will describe in more detail later in the article. The bug When these modules fail, it could be due to an issue in the daughter board, the breakout board or in the firmware. This case is due to a bug in the CC41 firmware. When a BLE device receives a scan request it responds with a scan response. The response includes information about the device such as device name, services offered, etc. The length of the response depends on the amount of bytes in the response fields. The CC41 firmware always sends a response with length of 31 bytes. It basically performs a "read beyond bound" from the variable that stores the scan response. The first part of the 31 bytes is a valid scan response and the second part is some padding containing either uninitialized memory or data of the next variable in memory. iOS and pre Android 8.0 systems ignored this corrupt data but starting with Android 8.0 Google decided to perform stricter validation of this data. This was probably done to prevent potential security issues, crashes and to follow the standard more closely. The malformed response is ignored and the resulting behavior is as if the CC41 is not responding at all. I was able to reproduce and observe this behavior with the following BLE sniffing setup: TI SmartRF Protocol Packet Sniffer software - CC2540 USB device - - I got mine from eBay, probably a clone. SmartRF Flash Programmer software - TI SmartRF04EB programmer device - - I got mine from eBay, probably a clone. For a more DIY approach, there are articles showing how you can use an Arduino as a TI programmer. The steps are: Install the right software versions for your matching devices. Install a driver for the programmer. Program the "CC2540 USB" device with "Texas Instruments\\SmartRF Tools\\Packet Sniffer\\bin\\general\\firmware\\sniffer_fw_cc2540_usb.hex" firmware. Connect the CC2540 USB to your computer and run the packet sniffer software. I found the following guide from TI useful. We can now observe BLE traffic. Setting a filter on scan responses will make it easier to see the bug. Here are some responses from different BLE devices: CC41: 0D 09 46 6F 63 68 69 63 61 5F 33 31 41 44 00 00 81 00 10 00 FF FF FF FF FF FF FF FF FF FF ESP32: 02 01 06 0F 09 45 53 50 5F 47 41 54 54 53 5F 44 45 4D 4F 02 0A EB 05 03 EE 00 FF 00 HM-10: 07 09 48 4D 53 6F 66 74 MLT-BT05-V4.0: 09 09 4D 4C 54 2D 42 54 30 35 Local name, Field type, Length, Junk. I have color-coded the various parts to easily convey the issue in the response. For exact protocol details see the specifications. Few observations: A spontaneous idea might be to change the name of the CC41 device to something longer such that we have a valid response or at least a zero-padded one. However, the CC41 firmware doesn't allow to set a name longer than 18 characters. Most modules send only their name in response to a scan, while the ESP32 device in this example was programmed to send 3 other fields as well. Solutions It is unlikely that Android's new behavior will change so the typical resolution would be to update the firmware of the device to a bug free version. Unfortunately Bolutek, who seem to be the company behind the CC41, doesn't provide updated CC41 firmware or any easy way to upload the firmware to the device. We are left with the following options: Use another module Painful process to flash a different working available firmware Trying to hack the device Use another module This is probably the easiest option in terms of invested time. HM-10 clone modules are sold at $2 a piece so if you need to replace just a few it might be easier to order another HM-10 (clone) module. New modules will most likely come with a different firmware such as a MLT-BT05 variant, or even better an original HM-10 which has means for over-the-serial flash updates. If you still get a CC41 module nowadays I feel it is a valid reason to ask for a refund. Personally I am a bit tired of dealing with issues of the HM-10 ecosystem. You never know what you will get as the variability is so high. Most modules have an anonymous entity behind them and no way to get updates. The original model lost its value as a unique identifier of a specific model and became a generic identifier. Pairing/bonding is poorly implemented in the clones compared to alternatives. Due to these reasons and more you too might want to stay away from HM-10 all together. Nowadays I prefer using an ESP32 instead of an Arduino + HM-10 combination. The main reasons are: It is a bit more complex but you have full control of the firmware, you can define your own services/characteristics and use this for more than just wireless UART. There is a company behind the device and you don't need to do any wiring as the BLE (+BT+WiFi) is built into to the micro-controller. The ESP32 is a much more powerful chip than a typical Uno/Nano but still can be programmed the same way from an Arduino IDE. The ESP32 now has a decent BLE library. The big difference between the two approaches is that with the ESP32 you don't have a separate firmware for the external module, instead the code of the BLE is compiled together with the code of your program. When you upload your code you upload both your program and any BLE related code/libraries. Re-flashing to another firmware Those looking to "fix" their CC41 flashed modules can flash them with a different firmware. The only other firmware I am aware of that is available in a file that can be flashed is the HM-10 original firmware. Any modules with other firmware that I have tested always came "chip locked" so you can't read the firmware from the module. I guess the HM-10 firmware once leaked or was distributed without a "chip lock", which resulted in its availability. If you are aware of another firmware that exists for this purpose, please mention that in the comments. There are advantages and disadvantages to flashing the HM-10 original firmware to a clone device. Advantages: Pairing/bonding works better and with more phones models and OS versions Ability to do over-the-serial updates Works with Android 8.0 Works better as a beacon (iBeacon) Less bugs in general Disadvantages You will need to cut the shrink warp of your module You will need to do some soldering You will probably need to buy/build some tools (clips, programmer, etc) You might have to fix issues and apply workarounds to make the STATE pin work as expected PSA: The jnhuamao.cn site contained downloads with trojans and was classified as a malicious site on several instances so if you are downloading executables from there you have a chance of getting infected. You can do the process without going there which is what I would recommend, otherwise be careful. The instructions below are not going to be a complete tutorial for re-flashing the CC41, for detailed instructions, firmware files and discussion see the following resources: JDY-08 : bluetooth 4.0 module How to flash genuine HM-10 firmware on CC2541 (make genuine HM-10 from CC41) - Video I used the following tools to re-flash the module: SmartRF Flash Programmer software - TI SmartRF04EB programmer device - - I got mine from eBay, probably a clone. See CCLoader for a DIY approach. DIP16 programming clip/clamp - an option to consider instead of soldering wires to the module The steps I took for flashing Cutting the transparent shrink wrap that protects the module. You should consider taping it back when you are done flashing. Identifying the pins needed for programming: debug clock, debug data, reset, power 3.3V and ground. Adding solder to the pins/pads where connection are to be made. Bending the connectors of the DIP16 clip so they align to the pads of the castellated daughter board. They are not the same pitch by default. Running the SmartRF programmer software and setting the settings for writing the desired firmware. Connecting Gnd to the 2.54mm module pin and the other programmer connections via the clip. Connecting the programmer to the USB. Performing the program. Verifying the result through a BLE app and a serial connection. This worked surprisingly well. The difficult part was holding the clip in place steady for a good connection to the pads. If the connection is not good, then the device would not be detected in the programmer when it is plugged in. Fixing the STATE pin All works well with the new firmware except for the STATE pin. In the clones this pin is supposed to be HIGH when the module is connected and LOW when the module is disconnected. To accomplish that the clones use pin P1_1 (PIO2) which is connected directly to STATE while also having a separate pin P1_2 (PIO1) to drive the on board LED. The default behavior for the LED is to blink when the module is not connected and HIGH when the module is connected. In the original module, P1_1 is not used and is configured as OUTPUT LOW. Instead P1_2 is used for both the STATE and the LED. This means that by default the STATE will blink when the module is not connected, which is a weird behavior for a digital output signal. To compensate for that, the original HM-10 allows to reconfigure the behavior of P1_2 (PIO1) through AT commands to have it as LOW when the device is not connected. This is one aspect where I believe the clones are actually better than the original. It makes much more sense to have separate digital signal and visual LED indicator pins as each has its own expected logic. If, like me, you rely on the proper operation of the STATE pin for your application logic, then you will have to make another alteration to the module to reconnect the STATE pin to P1_2 instead of P1_1. Note that it is not enough to bridge the two, you have to actually cut the previous connection, otherwise there will be a short circuit between P1_2 and P1_1. Identify the trace that connects between STATE and pin P1_1 and cut it using a hobby knife. Verify that there is no conductivity. Then solder a bridge between STATE and the P1_2 pin or the LED or the LED resistor (depending on what is convenient on your breakout board). Verify that the two pins are not connected and that STATE is now properly connected to pin P1_2. Using AT commands or arduino-ble-ident-n-set configure the module to drive the LED in a boolean fashion. You should now have a proper STATE pin. Note, some HM-10 clone modules come with no solder bridge between pin P1_1 and the matching pad on the breakout board. If you intend to re-flash those, this can actually be an advantage. Don't fix this connection, re-flash the module and then bridge the two pads on the breakout board without bridging the matching pads on the daughter board. This should connect STATE to P1_2 while leaving P1_1 disconnected. Here you can see a CC41 module which was previously fixed to support STATE, now re-worked to support STATE in a HM-10 configuration: Creative solutions Perhaps there are additional ways to hack the CC41 module. I am really interested to know if you have any ideas. We know that there is at least one bug in the firmware and perhaps there are others, which can allow us to take control of the device, alter its behavior or dump its firmware. Perhaps somebody has an updated firmware or an original extracted firmware that can be patched... Conclusion It is possible to fix misbehaving modules by re-flashing them, but it is not a quick or easy process. Might be better to get new HM-10 modules or switch to alternatives. It would be nice to have more options. The importance of software updates is demonstrated once again. For the benefit of the community and other buyers, you are encouraged to leave reviews for any modules you get from eBay/aliexpress and describe their parameters such as type, version, STATE pin implementation, etc. This is the only way we can beat the huge fragmentation in the market and educate the sellers about the items they sell.
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Virus Removal Guide | Complete Guide To Remove Virus From PC. 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The only intension to create such harmful virus is to create earn more benefits from infected system. As it is not hidden from you, this can be seen on your system what harmful activity it have done on the system. From making unwanted modification to Windows registry and sub-keys to updating the settings of web browser and make various changes on your PC settings. So you need to Remove Install.score-stars.com virus from your PC. Click Block Install.score-stars.com Immediately From PC Part 1 : Start Your PC In Safe Mode With Networking Part 2 : Remove Install.score-stars.com Related Process From Task Manager Part 3 : Remove Install.score-stars.com From Control Panel Part 4 : Remove Install.score-stars.com From Chrome Part 5 : Remove Install.score-stars.com From Registry Editor Part 6 : Reset Your Browser Settings To Remove Install.score-stars.com Part 1 : Start Your PC In Safe Mode With Networking Remove Install.score-stars.com For Window XP/Vista/7 To open PC in Safe Mode Restart your PC. Click Start Menu then select the Restart option. Simultaneously hit F8 button while the PC start booting. Here you will get Advance boot menu. In this Advance boot menu >> select Safe Mode With Networking Option. To open PC in Safe Mode With Networking press Enter button. Remove Install.score-stars.com For Windows 8/10 Click on Start Menu, hold Shift key and the press Restart button. In next Window select Troubleshoot option. Again click on Advanced Options. Here select the Startup Settings option. Select Enable Safe Mode option then click on Restart button. Now Press F5 button for Enabling Safe Mode With Networking option. Part 2 : Remove Install.score-stars.com Related Process From Task Manager Simultaneously press ALT+Ctrl+Del to Start Task Manager. You can also Right Click on Task Bar and the select Task Manager. Now Windows Task manager option will be open on screen. Find and select malicious process then click on End Task button. Part 3 : Remove Install.score-stars.com From Control Panel Remove Install.score-stars.com From Windows XP Go the Start menu and select Control Panel. The select Add or Remove programs option. In this Windows find Install.score-stars.com and Remove unwanted installed program from your PC. Remove Install.score-stars.com From Windows 7 Press the Windows key to open All program list. Here select Control Panel Option. In Control Panel Windows select Programs menu and then click Remove a programs. Them select the Install.score-stars.com and click on Remove option. Remove Install.score-stars.com From Windows 8 Together Press Win+R button to open Run Box. In Run Box type control panel and hit Enter button. On Control Panel and then Click Remove a program. Find unwanted programs and click on Remove option. Remove Install.score-stars.com From Windows 10 Press Start Menu and select Settings option. Now choose PC option here. Select on the Apps and Features option. On the is Windows Find Install.score-stars.com and click on Remove option. Part 4 : Remove Install.score-stars.com From Chrome Remove Install.score-stars.com From Google Chrome Open Google Chrome browser then click on icon to top right corner to open Chrome menu. Now click on the Tools settings option. Go to Extension and select all unwanted extension. Click on trash icon to Remove Install.score-stars.com from Google Chrome. Remove Install.score-stars.com From Internet Explorer Press Alt+T buttons on Internet Explorer to open Tool Option. Also to open Tools option click on Gear Icon from the right-top corner. Click on Manage Add-ons option then select Toolbars and Extensions tab. Find Install.score-stars.com and related add-ons then Click Disable. Finally click on Remove button. Remove Install.score-stars.com From Mozilla Firefox Click on Setting icon on top right corner to open browser menu. Now select Add-ons >> On Add-ons Manager tab select Extensions or Appearance panel. Select Install.score-stars.com to Remove it. Click on the Remove button or Trash option. Remove Install.score-stars.com From Microsoft Edge Open Microsoft Edge then click on More (...) icon. Now click on A specific page or pages option. Select Custom option >>> type the URL of the page. Now to fix it Restart your Microsoft Edge Browser. Part 5 : Remove Install.score-stars.com From Registry Editor Open Run Command by by clicking Win + R keys together. On Run Command Type regedit and hit Enter or Press OK. Find and Remove all related registry files of Install.score-stars.com. HKEY_LOCAL_MACHINEPCCurrentControlSetServicesWpm HKEY_CURRENT_USERSoftwareMicrosoftInternet ExplorerMain Default_Page_URL HKEY_LOCAL_Machine\\Software\\Classes\\ HKEY_CURRENT_USER\\Software\\Microsoft\\Windows\\CurrentVersion\\Run .exe HKCU\\Software\\Microsoft\\Windows\\CurrentVersion\\Internet Settings\\random HKEY_LOCAL_MACHINE\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\run\\random HKEY_CURRENT_USER\\Software\\Microsoft\\Windows\\CurrentVersion\\Internet Settings CertificateRevocation = '0 Part 6 : Reset Your Browser Settings To Remove Install.score-stars.com Reset Google Chrome Click on Chrome menu to open the Settings. Now on Drop down option click on Settings option. Type Reset on the Search Box of Chrome Settings. Then click the Reset button. Wait until the Task is not completed then Restart the Browser. Reset Mozilla Firefox Click on Firefox menu and click Help option. Here select Troubleshooting Information option. The press Refresh Firefox button from top of page. ClickRefresh Firefox button and then Restart your Mozilla Firefox. Reset Microsoft Edge Click on More (...) icon, then select Settings option. Now select View Advanced Settings option. Here press option. Type or Enter favorite search engine or URL the Press Add as default. Reset Internet Explorer Click on Tools menu and select Internet Option. Click on Advance tab then click on Reset button. Find Remove Personal Settings and then press Reset Button. Finally click on Close Button and Restart your IE.
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KNN Online - HOME. The Kekistan News Network (KNN) was founded in February 2017. This news aggregation website brings you the real news without the Trump Derangement Syndrome that has infected The Occidents media class. ​
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HerpeSite: Herpes Online Support Network |. HerpeSite.org: Your HSV1 & HSV2 Support Network! Dedicated to eliminating the stigma of Genital Herpes by providing resources, support, and information on Herpes transmission, treatment options, self-help, diet, nutrition, dating, relationships, research, and news. Established in 1994 by a former AOL Community Leader and Facilitator of the America Online Health Channel's Herpes Support Community, HerpeSite.org is a non-commercial website. Unlike many sites, HerpeSite is *not* a shill for a product or owned by a product manufacturer or seller. The information here is not influenced or tainted by financial interests or obligations. HerpeSite is mostly focused on Genital Herpes, but we also have a wealth of resources that apply to Oral Herpes and Cold Sores, too. You'll find information and resources here that will help you and others you may know who may be dealing with an emotionally and physically difficult diagnosis of Herpes. Knowledge can help you in support of yourself and others, and will empower you to make appropriate decisions about treatments, lifestyle, and management of HSV infection. What to Do First if You Think You Have Herpes First – Don't panic! No matter what, you will be fine! It is strongly recommended that anyone who may suspect a possible infection with Herpes immediately consult with a knowledgeable Health care professional. A qualified medical practitioner can help provide an accurate diagnosis, testing, and discuss suitable treatment options. In light of the fact that there is ongoing scientific research, evolving developments in medical theory and treatments, and much conflicting information about Herpes in the media and elsewhere, it is also advisable to continue personal research on any and all aspects of HSV that pertain to each individual's situation. And remember, Herpes is a skin rash caused by a virus, it doesn't define you and it won't kill you! Introduction to Herpes There are many HerpesViruses that affect humans. The primary ones we will focus on here are Herpes Simplex Types 1 & 2. Herpes Simplex Type 1 (HSV-1) HSV is an acronym for the Herpes Simplex Virus. HSV-1 is the virus responsible for cold sores and fever blisters. Research has shown that between 50 to 80% of Americans carry the antibodies to HSV-1. Between 10 to 20% of that population experiences recurring outbreaks. Even though a person may show no signs of outbreak, it is possible for a person to pass the HSV-1 virus. A staggering number of people, even those who have been infected for years, are unaware that these oral/facial outbreaks are a form of Herpes, and are therefore highly contagious. There is very little public awareness, education, or discussion of Herpes. We believe this is a major reason that it continues to spread. HSV-1 can also infect the genital area, many times passed via oral sex with someone who has a cold sore. It's been estimated that at least 30% to over 50% of all new cases of genital herpes results from HSV-1, but many Herpes researchers think that number is much higher. Herpes Simplex Type 2 (HSV-2) HSV-2 is generally thought of as "genital herpes," although HSV-2 can also infect other areas of the body. While these viruses are very similar to each other, HSV-2 tends to "prefer" the genital area, is usually more virulent than HSV-1 in the genital location, and tends to recur more often. People with genital HSV2 have an average of 5 outbreaks per year, while a genital infection with type 1 HSV has a recurrence rate of about once per year. An oral infection with type 2 HSV will rarely, if ever, recur. The difference between "genital" Herpes and "oral" Herpes is in location only, not viral type! Many people mistakenly refer to type 2 as "genital herpes," and type 1 as "oral herpes," when in fact, Herpes types 1 and 2 can and do infect either area. While many people have type 1 oral infections and type 1 or 2 genital infections as well, it is extremely rare for a person to have infections with type 1 and type 2 simultaneously in the same location. Some doctors now believe that more than half of new genital infections are caused by HSV-1. General Herpes Information & Background Remember, a Herpes infection is something people *get* – it's not who they *are*! It's a skin rash caused by a virus. Proper management of Herpes allows individuals and couples who have contracted this infection to live a full, rewarding, and yes, "normal" life. Management, like all other endeavors in life, may take work, time, and discipline. So stay with it! Herpes is not just a sexually transmitted disease. There are more than nine herpesviruses in humans. Herpes has been around for millions of years, and reportedly ran rampant during the height of the Roman Empire. Ancient Egyptian medical papyri contain remedies for herpes. The word "herpes" comes from a Greek word meaning "to creep." Herpes and Humans have been together since before recorded history! The highest incidence of transmission of Herpes simplex virus, usually HSV-1, occur oral/facially in children through non-sexual contact. Often, an adult with a "cold sore" will kiss a child on the mouth and transfer the virus. The vast majority of Americans have had HSV-1 "cold sores" at one point or another in their life. Many people who have oral herpes deny or do not recognize that the outbreaks on their lips and face are caused by a herpes virus. Many will proclaim that they have "cold sores," "fever blisters," or "sun blisters," and either don't know or won't admit that these outbreaks are caused by a herpes virus - even when presented with scientific documentation. This, we believe, contributes to the spread of herpes viruses, and perpetuates the social stigma associated with the word "herpes" and Genital Herpes in particular. More about this on the Overview page of HerpeSite. Cold Sores vs Herpes - Don't Buy into the Media-Driven Fear Campaign! The social stigma associated with Genital Herpes is not found with Oral Herpes. The fear and stigma around Genital Herpes is unfounded, unfair, and solely based on the LOCATION of the infection! Oral Herpes and Genital Herpes are simply a skin rash caused by a virus… Except in exceedingly rare cases – as in a newborn baby or someone with a compromised immune system – neither will kill you, neither will cause long-term medical or cosmetic issues, neither will occur more than a couple times a year at most, and neither will prevent you from doing, being, or having anything you want in life. We think that the antiquated puritanical MEDIA-DRIVEN LOCATIONAL prejudice about Genital Herpes needs to stop. The VAST MAJORITY of the World's population has Oral Herpes, yet no one is running around freaking out about it or making comments about the lifestyle or character of the people who have it or writing articles about how bad it is! Remember that Genital Herpes is a skin rash caused by a virus, just like "cold sores" or "fever blisters." Similar to "Chicken Pox" or "Shingles." Any idea about the "badness" of it stems from an outdated social convention based on puritanical notions of health, sexuality, and LOCATION! It won't kill you and will most likely have a minimal effect on your life… unless you let it. There's a lot more here at HerpeSite! Check out our pages on Symptoms, Treatments, Testing, Outbreak Prevention, Support, and Dating… The original resources for the Support Group that became Herpesite came from research studies & medical journals cataloged at University Medical Libraries. For a list of those studies, go to our new Research Page. If you are feeling overwhelmed or in crisis, please call the National Suicide Prevention Helpline for immediate help. A caring person is there to talk to 24/7. 1-800-273-TALK (8255). Via TTY at 800-799-4889
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WordPress Virus Removal. WordPress Virus Removal and Website Virus Removal. We help WordPress users and website owners who have been hacked. We remove malicious malware and viruses. If you suspect or know your WordPress or other website has been infected with a virus or malware contact us at 403-219-3031. Help is on the way!
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Prototype | Prototyping Your Future / HCI IxD. Any large organisation, be it public or private, monitors the media for information to keep abreast of developments in their field of interest, and usually also to become aware of positive or negative opinions expressed towards them. At least for the written media, computer programs have become very efficient at helping the human analysts significantly in their monitoring task by gathering media reports, analysing them, detecting trends and – in some cases – even to issue early warnings. We present here trend recognition-related functionality of the Europe Media Monitor (EMM) system, which was developed by the European Commission's Joint Research Centre (JRC) for public administrations in the European Union (EU) and beyond. EMM performs large-scale media analysis in up to seventy languages and recognises various types of trends, some of them combining information from news articles written in different languages. EMM also lets users explore the huge amount of multilingual media data through interactive maps and graphs, allowing them to examine the data from various view points and according to multiple criteria. A lot of EMM's functionality is accessibly freely over the internet or via apps for hand-held devices. Introduction Automated Content Analysis (ACA) is likely to be more limited than human intelligence for tasks such as evaluating the relevance of information for a certain purpose, or such as drawing high-level conclusions. Computer programs are also error-prone because human language is inherently ambiguous and text often only makes sense when the meaning of words and sentences is combined with the fundamental world knowledge only people have. However, computers have the advantage that they can easily process more data in a day than a person can read in a life time. Computer programs are particular useful in application areas with a time component, such as monitoring the live printed online media, because they can ingest the latest news articles as soon as they get published and they can detect changes and recognise and visualise trends. Due to the amount of textual information they can process, computer programs can be used to gain a wider view based on more empirical evidence. These features make ACA applications powerful tools to complement human intelligence. At least for the written media, the manual paper clipping process of the past – cutting out newspaper articles and combining them into a customised in-house news digest – has to a large extent been replaced by automatic systems. Computers can take over repetitive work such as gathering media reports automatically, categorising them according to multiple categories, grouping related documents, recognising references to persons, organisations and locations in them, etc. Using this filtered and pre-processed data, human analysts can then focus on the more demanding tasks of evaluating the data, selecting the most relevant information and drawing conclusions. The work of analysts will be more efficient if the computer programs can extract more information and the more high-level information they can recognise. Trend recognition is deemed particularly useful as it partially summarises events and it may help users detect hidden developments that can only be seen from a bird's perspective, i.e. by viewing very large amounts of data. Trend visualisations may serve as early warning tools, e.g. when certain keywords are suddenly found frequently or when any combination of other text features suddenly changes, compared to the usual average background. Trend prediction would then be the next logical step: based on regular historical observations specifically co-occurring with certain trends, it should be possible to predict certain trends when the same feature combinations occur again. Such an effort was described by O'Brien (2002) for the challenging domain of conflict and instability. A major challenge for complex subject domains such as societal conflict or war is that the data needed for making a reliable prediction may simply not exist and/or that some specific factors may decide on whether or not a conflict arises, factors that lie outside the realm of statistical analysis (e.g. the sudden sickness or death of a political leader). In any case, features for predictions should probably include data that can only be found outside the document corpus, such as statistical indicators on the economy and on the society (More REFS). The main disciplines contributing to ACA are called computational linguistics, natural language processing, language engineering or text mining. In recent years, this field has made a leap forward due to insights and methods developed in statistics and in machine learning, and of course due to the strong increase of computer power, the availability of large collections of machine-readable documents and the existence of the internet. In Section 2, we will give an overview of EMM, its functionality and its users. We will particularly point out the usefulness of aggregating information derived from the news in many different languages, which has the advantage of reducing any national bias and of benefitting from information complementarity observed in media sources written in different languages. In Section 3, we will then present a variety of trend presentations and data visualisation techniques used in EMM. These include time series graphs using numbers of articles on a certain subject, the usage of automatically extracted information on named entities mentioned in any selection of news, map representations combining geographical and subject domain information, opinion trends, graphs comparing information derived from the social media with that from the online version of printed media, and more. In Section 4, we summarise the benefits of automatic media monitoring, not without pointing out limitations of ACA and the potential dangers of relying on automatically derived information based on large volumes of textual data. Europe Media Monitor (EMM) A brief Overview 2.1 Overview Europe Media Monitor (EMM) stands for a whole family of media gathering and analysis applications, including NewsBrief, NewsExplorer, the Medical Information System MedISys, BlogBrief, NewsDesk and more (Steinberger et al. 2009). EMM was entirely developed at the JRC. While the main users are the EU institutions and the national authorities of the 28 EU member states, EMM was also made accessible to international organisations (e.g. various United Nations sub-organisations, the African Union and the Organisation of American States) and to the national authorities of selected partner countries of the EU. The first version of NewsBrief came online in 2002 while NewsExplorer came in 2004, but both systems processed smaller volumes of news and they had less functionality. EMM currently gathers a daily average of about 220,000 online news articles per day in seventy languages from approximately 4,000 different web sources (status May 2015). The news sources were manually selected with the purpose to represent the major newspapers of all countries in the world and to include European-language news (especially English) from around the world. For reasons of balance, it was decided not to include all easily accessible news sources, but to monitor a comparable number of news sources per country, with a focus on Europe. EMM additionally processes news feeds from over twenty press agencies. It visits news-like websites such as governmental and non-governmental web pages and it monitors social media such as Twitter, FaceBook and selected blog sites. The public versions of EMM do not show commercially acquired documents and usually have less functionality than the EC-internal versions. Separately for each language, the news articles then undergo a series of processing steps, including language recognition, document duplicate detection, Named Entity Recognition (NER) for persons, organisations and locations, quotation extraction, sentiment/tonality analysis, categorisation into one or more of the over 1,000 different subject domain classes. EMM then clusters related articles into groups, which allows users to examine the load of articles in an organised fashion. The different EMM applications provide different functionality, described in the next section. Family of EMM news monitoring applications NewsBrief (Figure 1) is the most widely used system. It provides users with near-real-time information on their field of interest in all seventy languages. Separately for each language, news gathered within a sliding four-hour window (8 hours for some languages) are clustered, but older articles remain linked to the cluster as long as new articles arrive. For each cluster, automatically extracted meta-information such as named entities and quotations are displayed. Continuously updated graphs show the ten currently largest clusters and their development over time. By clicking on any of the clusters, users can see the list of all articles and click on each article to read the entire text on the website where it was originally found. For fourteen languages, an automatically pre-generated translation into English is available. For event types with relevance to health, safety and security, NewsBrief also displays automatically extracted event information (eight languages only), including the event type, location and time of the event, number and type of victims (dead, injured, infected), and – where this was mentioned – the perpetrator (the person or group inflicting the damage). The limitation of the event types is due to the user groups, which are mostly concerned with providing support in case of disasters, epidemics, etc. NewsBrief offers subscriptions for automatic updates per category by email, for institutional users also via SMS. BlogBrief provides the same functionality as NewsBrief, but instead of news, it processes English language blogs by bloggers who have been hand-selected due to their importance or impact (e.g. politicians and journalists). MedISys is rather similar to NewsBrief, except that all its content categories are related to issues that are relevant for Public Health monitoring. Its news categories include all major communicable diseases and other Chemical, Biological, Radiological or Nuclear (CBRN) dangers, symptoms, as well as subjects of scientific or societal value such as vaccinations and genetically modified organisms. NewsExplorer provides a more long-term view of the news (in 21 languages only) and it provides a cross-lingual functionality. Rather than displaying and grouping the current news, NewsExplorer clusters the news of a whole calendar day and displays the clusters ordered by size. For each cluster, hyperlinks lead users to the equivalent news clusters in any of the other twenty languages (where applicable) and to historically related news. NewsExplorer also includes hundreds of thousands of entity pages (persons, organisations and more), where historically gathered information on each entity is aggregated and displayed, including name variants, titles, clusters and quotes where the entity was mentioned, quotes issued by that person, other entities frequently mentioned together with this entity, and more (see Figure 2). NewsDesk is a tool for human moderation. It allows media monitoring professionals to view and select the automatically pre-processed news data and to easily create readily formatted in-house newsletters. EMM Apps for mobile devices such as iOS and Android phones and tablets first became publicly and freely available in 2013 (See Figure 3). Due to the personal nature of such devices, it became first possible to display customised starting pages for each user. For the iOS EMM App alone, about 26,000 downloads were recorded up to May 2015. This customisable version of EMM became very popular so that this functionality was implemented in a new web version of EMM, called MyNews (see below). The EMM App uses a whole new concept and way to interact with EMM Metadata, referred to as Channels. A channel is a stream of EMM articles that all share the same metadata: Channels can be (a) any News Category, (b) the Top 20 Stories in a particular language, (c) a Country/Category combination, (d) an entity recognised by EMM or (e) a search in the full-text index. Users can create such channels for themselves and they can group channels into sets, allowing them to browse freely between channels in any of these sets. When users open a channel, they get access to all the articles that are present in the channel at the time, plus the other metadata that EMM has identified and associated to that channel. Users can of course also browse the attached meta-data, turn them into new channels and pin them to the current set. Crisis management tools and products have been found to be challenging to design and produce due to the complexity of dynamic customisable data-sets defined by each individual user. The main problems in designing such tools are ambiguity, multi-platform support, data representation and other pitfalls commonly seen in mobile technology development. We adhere to a model-based methodology focusing on core functionality and logical interactions with the data-set, user-centric design and data visualisation while supporting other development activities including a requirement analysis for a wide set of devices and operating systems, verification and validation. The result of the development cycle is a layout structure in which a wide scale of EMM crisis management tools has been developed. There are many digital solutions aiming to support humanitarian and emergency response tools by means of open source information gathering and text analysis. A strong trend among those tools is the ability to detect and analyse vast amounts of data, highlighting important developments relevant to each user and use. Many solutions are already operational today, the majority of these solutions requires the user to open a webpage a few times every day to get updated. Other solutions are relying on communicating with external servers, which is expensive and demanding in maintenance. They additionally usually require user authentication, which can compromise privacy and security. Our own solution allows custom notifications based on changes in the specific data set the user has defined. When a logical threshold is activated the system displays a notification directly on the user's mobile device. By merging our notifications with the core system notification system of the mobile device, we alert the user only when it is appropriate. For example, notification will wait silently when the user is asleep and will schedule the notifications to be presented a few minutes after the user has started using the device. This is being done without any user intervention or pre-settings. This novel solution differentiates itself from most notification solutions in the fact that it does not rely on any server side technology. The application itself calculates when and how notifications are presented to the user based on an internal logic crossed with background fetching of the current total data set. MyNews is the first customisable web interface to the news items supplied by the EMM engine designed for desktop browsers. It only became available in 2015. It requires logging in and is only available in-house, i.e. it is not accessible to the wider public. MyNews is highly customisable, since it allows users to define their own specific view by selecting the topics they are most interested in. This is achieved – similarly to the EMM mobile apps – by allowing users to tune news channels focused on very specific topics. They can create as many channels as they like, and they can organise them into sets (see Figure 4). There are many different ways to create new channels, which increases greatly the flexibility of the tool, combining as a union or as an intersection of article selections based on (a) text language, (b) news categories, (c) entities, (d) news from a certain country or (e) news about a certain country, (f) top stories (i.e. the biggest clusters of news talking about the same event) or (g) freely chosen search words. When visualising the contents of any of the channels, the meta-data relating specifically to this selection of news is displayed visually (see Figure 5). The Big Screen App, available since 2014, offers a view of EMM that is visible on large screens in central locations at user organisations. It shows a revolving and continuously updated view of what is happening around the world, targeted to the respective user communities, using text, maps and graphs. Citizens and Science (CAS) is a project that aims to gauge the relative importance of reporting on Science & Technology (S&T) in traditional and social media. It does this by comparing the reporting volume from a number of European Nations and the USA of items that correspond to a number of predefined S&T categories. The sources of these items are taken from the traditional online news media, public posts from FaceBook and tweets from Twitter. CAS allows investigating the relative dominance of certain themes across different media (traditional vs. social), languages and countries and it can help find empirical evidence of biased reporting (see Figure 6; more detail in Section 3.2). Details on ingested news, sources, numbers, geographical distribution Event extraction Multilinguality in EMM Multilinguality is an extremely important feature in this news monitoring application. Covering so many languages is not only important because the European Union consists of 28 Member States with 24 official EU languages. The coverage of news in 70 different languages is also due to the insight that news reporting is complementary across different countries and languages, both regarding the contents and the opinions expressed in the media. By gathering and analysing different languages, EMM reduces any national or regional bias and it increases the coverage of events and of opinions. While major world events such as large-scale disasters, major sports events, wars and meetings of world leaders are usually also reported in English, there is ample evidence that only a minority of the smaller events is reported on in the press outside the country where the event happens. Many EMM users have specialised interests such as the monitoring of events that may have negative effects on Public Health (e.g. disease outbreaks, reports on food poisoning, lack of access to medicines) or on the stability or welfare of a country (e.g. clashes between ethnic groups, accidents, crime). An analysis has shown that the vast majority of such events is not translated or reported abroad (Piskorski et al. 2011 – PROVIDE DETAILED NUMBERS). The links between related clusters across different languages in NewsExplorer show that only some of the news items in each country or language have an equivalent in other languages while the majority of news clusters talk about subjects of national interest. Figure 7, taken from the live EMM news cluster world map, also gives evidence of the uneven distribution of language reporting for locations on the globe: News mentioning locations in Latin America are mostly reported in Spanish and Portuguese; there is little news on Russia and China that is not written in Russian or Chinese, respectively, etc. Only by combining the world news in all different languages do we get a fuller picture of what is happening . Trend observation and distribution statistics in EMM In this section, we want to give some concrete examples of trend monitoring, as well as of bird's views of large amounts of media data giving insights in the relative distribution of news contents. The selection of examples shown here is based on wanting to present different visualisation principles or types, but it is naturally also driven by the interests of EMM users. Since EMM monitors in near-real time (time stamp) large amounts of media reports from around the world and it keeps track of the information (e.g. news provenance, news source, publication language, URL, media type, time of publication, etc.) and it additionally extracts categories and features (e.g. subject domain; number of related articles; names of persons, organisations and locations; sentiment; combinations of features; average values, etc.), it is in principle possible to produce and visualise statistics on any feature or feature combination. This can be done for a specific point in time (most EMM users are interested in now), it can be done for any moment back in time, it is possible to compare current values to average values, and it is possible to perform a time series analysis, i.e. it is possible to show any change over time. Note, however, that, while all such meta-data extracted by EMM can be stored, the original full text of the news has to be deleted after the analysis, for copyright reasons. Users will thus be able to see the meta data and a snippet of the news text (title and the first few words), but if they want to see the full text, they have to follow the hyperlink provided. Whether or not the full text is still accessible then depends on the news source. In the following sub-sections, we will present some types of trend observations and visual presentations of distribution statistics. Bar graphs and pie charts The simplest and probably clearest way of presenting static data is achieved using bar graphs and pie charts. Figure 5 shows three different bar charts to visualise different aspects for the same selection of news documents (provenance of the news, countries mentioned in the articles, and subject domains/entities referred to). These charts give the reader an overview of the whole collection of documents and it thus helps them evaluate and categorise the contents before reading them in detail. Figure 7b shows the language distribution of a multilingual set of European news articles talking on the subject of Science & Technology and comparing it with the language distribution in all articles covering the same time period. It is immediately visible that English and Polish language articles (left) are over-proportionally talking about S&T, while German and French S&T articles are under-represented, compared to the average. Maps visualising geographical distributions Map views are rather popular and intuitive. Figure 5 shows an aggregated map view (number of articles per continent/country/region, depending on the zoom level) while Figure 7 shows all news clusters (or those in a selection of languages). Many types of map data are available, allowing to combine any EMM information with third-party information, as seen in Figure 8 . Any map data in EMM is hyperlinked to the underlying news articles together with the extracted meta-information so that users can verify the contents and read the underlying news sources. Trend graphs Trend graphs show a simple correlation between at least two variables, of which one is time. Typically, they take the shape of line graphs or bar graphs where one axis represents time. Figure 1 shows the size (number of news articles) of the ten largest English language news clusters and their development over the past 12 hours, with a ten-minute resolution (update frequency). The interactive graph clearly shows which stories are most discussed. By hovering with the mouse over any of the points, the most typical news article header of that moment in time is shown so that users can get informed of the development of that story. The system decides on the most typical article header statistically by selecting the medoid, i.e. the document that is closest to the centroid of the vector. By clicking on any of the curves, a new page will open showing the articles that are part of that cluster plus all meta-information available to the system. This graph thus shows ten trend lines in one graph, for the sake of comparison. Similarly, Figure 6 visualises the numbers of news articles and of Social Media postings over time on four science areas. The graph shows longer-term developments. The chosen resolution is one day. For each of the four science areas, two trend curves are displayed to facilitate the visual understanding of the relative long-term development. Such graphs can be rather revealing. For instance, Figure 9 compares Science & Technology reporting in Europe and in the US. For better comparison, the numbers have been normalised: the x-axis shows the percentage of S&T articles compared to all articles, instead of absolute numbers. This graph reveals that the intensity of reporting on S&T in Europe lags behind that observed in US-American media (0.5% of all articles in all languages in the EU vs. 2.8% in the USA report about S&T). Comparing only English language articles in predominantly English-speaking countries (UK and Ireland in Europe; graph not shown here) with the English language articles in the USA, the difference is smaller, but it still notable (1.5% of articles in the UK and in Ireland vs. 3.2% in the USA). To put these numbers into perspective: the reporting on the reference categories Conflict, Ecology, Society and Sports, considering only the English language, was respectively 2.56%, 0.14%, 0.59% and 5.46% for the USA and 1.93%, 0.09%, 0.45% and 6.63% for the EU. This means that the reporting on S&T issues does not fall far behind the reporting on Sports in the USA, but in Europe reporting on Sports is 4 times more than on S&T issues. Note that, in EMM, sports articles are additionally only taken from general news streams because EMM does not scan sports pages of news sites. Looking in detail at a specific topic such as Space, we observe that there is a very strong correlation between the peaks, but the volumes are much smaller in the UK and Ireland, compared to the USA (See Figure 9). Other than a weak correlation between product announcements in the media and on twitter, we have not observed a clear media-driven discussion on the social media, i.e. we have not been able to establish any correlation between media reports and the user-driven content. Such data is a good starting point for the work of social scientists, who can then search for an interpretation and for explanations. Economists and politicians may then think of possible remedies (if needed and wanted). Figure 10 shows the interactive long-term news story timeline produced in EMM-NewsExplorer. The graph shows the number of news articles per day in the daily news clusters about the same event or subject. By hovering over any of the bars, the news cluster title is displayed so that users can explore what happened that day. By clicking on that day, the users are taken to the page with information on that day's news cluster in order to read the articles, see the related meta-information and follow hyperlinks to related reports in other languages. The graph allows exploring developments over longer periods of time and refreshing one's memory on what happened when. Figure 11 shows the development of positive or negative tonality (or sentiment) measured in English and French news articles, using a one-week resolution. Early warning graphs Figure 8 visualises results on the most recent events of a certain type, allowing stakeholders to become aware of the latest developments, to deepen their understanding of what happened (by reading the related news articles) and to take action, if needed. Another type of early warning is achieved with statistical means, as shown at the top of Figure 10, taken from EMM's Medical Information System MedISys. The graph called daily alert statistics shows the currently biggest threats world-wide, with decreasing relevance from left to right (the red threats are the ones with the highest alert levels). MedISys counts the number of articles in the last 24 hours for any country-threat combination (e.g. tuberculosis and Poland) and compares it to the two-week average count for this same combination. This ratio is then normalised by the number of articles for different days of the week (there are less articles on the weekend). The alert statistics graph then shows the results of all calculations, ranked by the value of this ratio . Note that the ratio is entirely independent of the absolute numbers as it rather measures the unexpectedness. Each country-threat combination is shown in two columns: the left one (light blue) shows the observed number of articles while the right one (red, yellow or blue) shows the expected two-week average. An important feature of this graph and of MedISys/EMM as a whole is that this alert is language-independent. The same categories for countries and for threats exist for (almost) all EMM languages, meaning that the articles may be found in one language only (e.g. Polish or Arabic), which often is different from the languages spoken by the MedISys user. The graph is interactive: Users can click on any of the bars to jump to a new page where all relevant articles for this country-threat combination are displayed, together with a heat map and a trend line showing the development over the past 14 days. The Spain-legionellosis threat combination in Figure 10 no longer is a top threat as it had already been reported on for four days. Further graph types used in EMM Figure 11 shows a node graph visualising co-occurrence relations between people. For each person, the 100 most associated entities (persons or organisations) are displayed. The subset of common entities is highlighted in red. The graph is interactive: by clicking on any of the entity nodes, they jump to a page with the news mentioning that entity and displaying all automatically extracted meta-information (e.g. Figure 2), or to the Wikipedia page for that entity. Further entities can be added to the same graph. EMM-NewsExplorer produces the correlation data by counting which entities are mentioned together with which other entities in the same news items. In order to suppress media VIPs such as the US president from the purely frequency-based correlation lists (called 'related entities' in NewsExplorer), a weighting formula is used that brings those entities to the top that are mostly mentioned together with this person and not so much with other persons. The data, referred to in NewsExplorer as 'associated entities', is produced on the basis of mention co-occurrence in the news in 21 different languages, i.e. it is less biased by the reporting language than data produced by a monolingual media monitoring system. EMM recognises direct speech quotations in the news in about twenty different languages and keeps track of who issued the quotation and who is mentioned inside the quotation. Figure 12 shows a quotation network indicating who mentions whom (arrows). Persons most referred to are automatically placed closer to the centre of the graph. During the 2007 presidential elections in France, it was observed that Nicolas Sarkozy, who was the winner of the elections, was consistently more central than his opponent Ségolène Royal. Quotation networks are no longer used in EMM. The same applies to topic maps, which display the most prominent subject matters referred to in a document collection. The topics are grouped into islands of relatedness (using a method known as Kohonen Maps). The more prominent a group of topics is in the collection, the higher the mountains on the island, with peaks being snow-covered. Summary and conclusions, pitfalls Computers have the ability to sieve through large volumes of data in little time and the technologies required for Automated Content Analysis (ACA) have matured to a level where automatically produced results can be useful for the human analyst. We have argued that a man-machine collaboration for the analysis of large volumes of media reports will produce best results because people and computers have complementary strengths. We have presented the main functionality of the European Commission's family of Europe Media Monitor (EMM) applications, which currently gathers an average of 220,000 online news articles per day from about 5,000 online news sources in seventy languages (and also from social media postings about certain themes), categorises the news into about 2,000 different categories, groups related articles, extracts various types of information from them, links related articles over time and across languages and presents the analysis results in a variety of ways to the human end user. Moderation tools support the users in viewing the data, in selecting and amending it and in producing in-house newsletters for the information-seeking decision takers. Monitoring not only English or some widely spoken languages is important in order to avoid bias and also because the news is complementary across languages, both for contents and for the sentiment contained therein. Automatic tools that process and analyse documents turn unstructured information into a structured format that can easily be processed by machines and that also provides useful data for the human user. This results in a data collection, where for each article, we know the news source, the country of origin, the language, the timestamp of the publication, the news categories, the persons, organisations and locations mentioned therein, related articles within the same and across different languages, quotations by and about persons. Additionally, we have data about trends, i.e. whether news related to the same event or subject are increasing or decreasing in numbers over time, and there is some information on sentiment/tonality. This structured collection makes it in principle possible to produce any statistics and to establish any trends related to these types of information. For selected subjects and feature combinations, the JRC regularly publishes its analysis, allowing EMM users to have a deeper insight into the publications on subject areas of their interest. In this article, we presented a range of different types of analyses and visualisations in order to give an overview of distributions and trends observed during large-scale media analysis. Such an extraction and aggregation of data is not usually the final objective, but it normally is the starting point for an intellectual human analysis. Analysts can get inspired by the data, questions may arise, suspicions may get confirmed or contradicted. Used carefully, we believe that the analyses produced by EMM or similar systems can be very useful because they may be used as an inspiration and as empirical evidence for any argument human analysts may want to make. However, we find it extremely important that users be aware of the limitations and of possible pitfalls when using such data, be it from EMM or from other automatic systems: First of all, media monitoring is not reality monitoring. What the media say is not necessarily factually true and media attention towards certain subjects usually differs from the real-life distribution of facts or events, giving media consumers a biased view. Media reporting is heavily influenced by the political or geographical viewpoint of the news source. It is therefore useful to analyse a large, well-balanced set of media sources coming from many different countries world-wide. EMM aims to reach such a balance, but sources are also added on request of users, it is not always known what political standpoints newspapers have, and not all news sources are freely accessible. For this reason, EMM displays the list of media sources so that users can form their own opinion. Any analysis, be it automatic or man-made, is error-prone. This is even true for basic functionalities such as the recognition of person names in documents and the categorisation of texts according to subject domains. Machines might make simple mistakes easily spottable by human analysts, such as categorising an article as being about the outbreak of communicable diseases when category-defining words such as tuberculosis are found in articles discussing a new song produced by a famous music producer, which is easily spottable by a person. On the other hand, machines are better at going through very large document collections and they are very consistent in their categorisation while people suffer from inconsistency and they tend to generalise on the basis of the small document collection they have read. For these reasons, it is crucial that any summaries, trend visualisations or other analyses can be verified by the human analysts. Users should be able to verify the data by drilling down, e.g. viewing the original text data in the case of peaks or unexpected developments, and especially to get an intuitive confidence measure by viewing a number of cases that lead to conclusions. Most of EMM's graphs are interactive and allow viewing the underlying data. It would be useful if system providers additionally offered confidence values regarding the accuracy of their analyses. For EMM, most specialised applications on individual information extraction tools include such tool evaluation results and an error analysis (e.g. XXX-REF). However, the tools can behave very differently depending on the text type and the language, making the availability of drill-down functionality indispensable. End users should be careful with accuracy statistics given by system providers. Especially commercial vendors (but not only) are good at presenting their systems in a very positive light. For instance, our experience has shown that, especially in the field of sentiment analysis (opinion mining, tonality), high accuracy is difficult to achieve even when the statistical accuracy measurement Precision and Recall are high. Overall Precision (accuracy for the system's predictions) may for instance indeed be high when considering predictions for positive, negative and neutral sentiment, but this might simply be because the majority class (e.g. neutral) is very large and the system is good at spotting this. Accuracy statistics may also have been produced on an easy-to-analyse dataset while the data at hand may be harder to analyse. Sentiment, for instance, may be easier to detect on product review pages on vending sites such as Amazon than on the news because journalists tend to want to give the impression of neutrality. Machine learning approaches to text analysis are particularly promising because computers are good at optimising evidence and because machine learning tools are cheap to produce, compared to man-made rules. However, the danger is that the automatically learnt rules are applied to texts that are different from the training data as comparable data rarely exists. Manually produced rules might be easier to tune and to adapt. Again, statistics on the performance of automatic tools should be considered with care. Within EMM, machine learning is used to learn vocabulary and recognition patterns, but these are then usually manually verified and generalised (e.g. Zavarella et al. 2010; Tanev & Magnini 2008). To summarise: we firmly believe that Automated Content Analysis works when it is used with care and when its strengths and limits are known. Computers and people have different strengths which – in combination – can be very powerful as they combine large-scale evidence gathering with the intelligence of human judgement. References Atkinson M, Keim D, Schaefer M, Franz W, Leitner-Fischer F, Zintgraf F. (2010). DYNEVI - DYnamic News Entity VIsualization. In: J.Kohlhammer, D.Keim (eds). Proceedings of the International Symposium on Visual Analytics Science and Technology. Golsar (Germany): The Eurographics Association. pp. 69-74 . 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Real-time News Event Extraction for Global Crisis Monitoring. In V. Sugumaran, M. Spiliopoulou, E. Kapetanios (editors) Proceedings of 13th International Conference on Applications of Natural Language to Information Systems (NLDB 2008 ), Lecture Notes in Computer Science, Cool. 5039, 24-27 June, London, UK. Tanev Hristo, Maud Ehrmann, Jakub Piskorski & Vanni Zavarella (2012). Enhancing Event Descriptions through Twitter Mining. In: AAAI Publications, Sixth International AAAI Conference on Weblogs and Social Media, pp 587-590. Dublin, June 2012. Tanev Hristo, Vanni Zavarella, Jens Linge, Mijail Kabadjov, Jakub Piskorski, Martin Atkinson & Ralf Steinberger (2009). Exploiting Machine Learning Techniques to Build an Event Extraction System for Portuguese and Spanish. In: linguaMÁTICA Journal:2, pp. 55-66. Available at: . Turchi Marco, Martin Atkinson, Alastair Wilcox, Brett Crawley, Stefano Bucci, Ralf Steinberger & Erik van der Goot (2012). ONTS: "OPTIMA" News Translation System. Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. 25–30, Avignon, France, April 23 - 27 2012. Van der Goot Erik, Hristo Tanev & Jens Linge (2013). Combining twitter and media reports on public health events in MedISys. Proceedings of the 22nd international conference on World Wide Web companion, pp. 703-718. International World Wide Web Conferences Steering Committee, 2013. Zavarella Vanni, Hristo Tanev, Jens Linge, Jakub Piskorski, Martin Atkinson & Ralf Steinberger (2010). Exploiting Multilingual Grammars and Machine Learning Techniques to Build an Event Extraction System for Portuguese. In: Proceedings of the International Conference on Computational Processing of Portuguese Language (PROPOR'2010), Porto Alegre, Brazil, 27-30 April 2010. Springer Lecture Notes for Artificial Intelligence, Vol. 6001, pp. 21-24. Springer. 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