Socio-computational Predictive Methods to Detect and Mitigate Bot Activity in Novel Information Environments

IAI proposes to continue understanding social bots behaviors, extract indicators, develop socio-computational models with predictive capabilities to detect bot and botnet (i.e., coordinated groups of bots) activity, measure the impact of bots and their effectiveness, and implement the algorithms and incorporate them in a mature social media analytics software tool. In particular, we will develop innovative bot detection methods by taking into account complex bot behavior in cross-platform social media and practical software implementation requirements, classify bots into newsbots, spambots etc., extend bot detection capability from individual users to a group of bots, develop algorithms to enhance bot detection via social media and cross-platform analytics, measure the impact and effectiveness of bots, and implement the bot detection algorithms as a service, integrate with Scraawl, and demonstrate the performance.