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Bot Sentinel is a free platform developed to detect and track propaganda bot/troll and fake news Twitter accounts. Bot Sentinel utilizes machine learning and artificial intelligence to classify suspicious Twitter accounts, and then we store those accounts in a database to track each account daily. We use the data we collect to understand how these propaganda accounts influence unsuspecting Twitter users. Our machine learning model was developed using 2500 ordinary Twitter accounts tweeting about politics, current news, and other various topics. We also used 2500 bot/troll accounts that were manually identified by our team. We used over 5,000,000 tweets to create our model, and we perfected the Bot Sentinel algorithm to accurately classify bot/troll accounts.

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Propaganda bots are pieces of code that utilize Twitter API to automatically follow, tweet, or retweet other accounts bolstering a political agenda. Propaganda bots are designed to be polarizing and often promote content intended to be deceptive.

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Propaganda trolls are persons that use emotions, lies, false accusations, and broken logic to undermine political discussions on social media platforms and forums. Some propaganda trolls are paid and often work for an organization with a network of propaganda trolls pushing a specific message.

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Bot/troll is a classification we created to describe accounts that are mainly controlled by humans but they also exhibit some bot behavior. Some of these accounts frequently retweet known propaganda and fake news accounts, and they engage in deceptive troll-like behavior. Other bot/troll accounts target and attack specific Twitter accounts as part of a coordinated harassment campaign.

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Fake news accounts are maintained by people that create and/or promote deceptive content intended to deceive the reader. Fake news accounts are often retweeted by bot/troll accounts to help spread the bogus material.

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Classifying fake news accounts is a manual process. We review hundreds of tweets and retweets during the review process. If an account has a large number of followers and a high percentage of misleading and/or factually incorrect tweets, that account could be classified as Fake News.

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Our machine learning model was developed to identify accounts that exhibit irregular tweet activity related to politics. The more you exhibit irregular tweet activity, the higher your bot/troll score will be.

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Bot/troll is a classification we created to describe accounts that are mainly controlled by humans but they also exhibit some bot behavior. Some of these accounts frequently retweet known propaganda and fake news accounts, and they engage in deceptive troll-like behavior. Other bot/troll accounts target and attack specific Twitter accounts as part of a coordinated harassment campaign.

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Accounts with a bot/troll score of 75 and above are tracked by the Bot Sentinel platform. We use publicly available data that is available to anyone with access to Twitter's API.

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Bot/troll accounts are listed automatically when an account receives a bot/troll score of 75% and above. Your Twitter handle will automatically be removed from our website if your score drops below 75%. We do not manually remove Twitter handles from the bot/troll listing on our website.

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Yes. No bot/troll detection is 100% accurate. From time to time the Bot Sentinel platform will give false positives and false negatives. If an account is classified as a bot/troll account, and you are positive it is a false positive, please wait a few days and analyze the account again. The same will apply to accounts you think are a false negative.