#BotOrNot

BotOrNot is a tool designed to analyze Twitter accounts and determine whether they are bots or real users. It uses machine learning and various metrics, such as activity patterns, follower interactions, and language usage, to assess the likelihood of an account being automated. Originally developed by researchers at Indiana University, it helps identify fake or spam accounts spreading misinformation. The tool has been useful for journalists, researchers, and social media analysts. While Twitter has implemented its own bot-detection methods, tools like BotOrNot provide additional insights into the presence of automated accounts influencing online conversations and social media trends.