Botometer is a tool developed by the Observatory on Social Media at Indiana University that assesses the likelihood of a Twitter account being a bot. Utilizing machine learning algorithms, it analyzes various account characteristics and activity patterns to score the probability that the account exhibits automated behavior. Originally known as BotOrNot, Botometer provides a detailed report based on metrics such as tweet content, timing, network connections, and user profiles. The service is designed to help researchers and the general public identify and understand automated behaviors on social media platforms like Twitter.