BotSlayer: DIY Real-Time Influence Campaign Detection


  • Pik-Mai Hui Indiana University Bloomington
  • Kai-Cheng Yang Indiana University Bloomington
  • Christopher Torres-Lugo Indiana University Bloomington
  • Filippo Menczer Indiana University Bloomington



BotSlayer is an application that helps track and detect potential manipulation of information spreading on Twitter. It can be used by journalists, corporations, political candidates, and civil society organizations to discover online coordinated campaigns in real time. BotSlayer uses an anomaly detection algorithm to flag hashtags, links, accounts, phrases, and media that are trending and amplified in a coordinated fashion by likely bots. A Web dashboard lets users explore the tweets and accounts associated with suspicious campaigns, visualize their spread, and search related content on multiple search engines and social media platforms. BotSlayer is easily installed and configured in the cloud. It will aid in the study and early detection of social media manipulation phenomena.




How to Cite

Hui, P.-M., Yang, K.-C., Torres-Lugo, C., & Menczer, F. (2020). BotSlayer: DIY Real-Time Influence Campaign Detection. Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 980-982.