![]() Method or technology Machine learning and AI Is the tool automated? Mixed Founding organization Information not available Founder/primary contact Christopher Bouzy How is this tool working to address disinformation? It directly evaluates information (e.g., authenticating a photo), but also assesses how information is produced and disseminated. Status Fully Operational Intended users General Public Cost Free Tool focus This tool is both content- and process-focused. This bot-tracking platform is not affiliated with RAND it is owned and operated by Bot Sentinel Inc, which you can read more about here: Tool type If an account has a large number of followers and a high percentage of misleading and/or factually incorrect tweets, they might classify that account as untrustworthy. They review hundreds of tweets and retweets during the review process. Classifying untrustworthy accounts is a manual process. Developers use the data they collect to explore the effect of bots and their propaganda on discourse and to explore ways to counter the spread of bots and the information they disseminate. It then stores those accounts in a database to track each account daily. Bot Sentinel uses machine learning and artificial intelligence to study Twitter accounts, to classify them as trustworthy or untrustworthy, and to identify bots. ![]() Bot Sentinel is a free platform developed to detect and track trollbots and untrustworthy Twitter accounts. ![]()
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