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The system uses machine learning and artificial intelligence to classify Twitter accounts who exhibit trollbot behavior, and we then add accounts that exceed a certain threshold to a publicly available database that anyone can browse. We trained Bot Sentinel to identify specific types of trollbot accounts using thousands of accounts and millions of tweets for our machine learning model. The system can correctly identify trollbot accounts with an accuracy of 95%. Unlike other machine learning tools designed to detect "bots," we are focusing on specific activities deemed inappropriate by Twitter rules. We analyze hundreds of Tweets per each Twitter account to determine if an account exhibit irregular tweet activity, engaging in harassment, or troll-like behavior

Bot Sentinel Questions

Bot Sentinel is based in Hasbrouck Heights, New Jersey.

The NAICS codes for Bot Sentinel are [517, 51, 517110, 5171, 51711].

The SIC codes for Bot Sentinel are [7375, 73, 737].

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