#BotOrNot

BotOrNot is an online tool designed to detect automated accounts, or "bots," on social media platforms like Twitter. Developed by researchers at Indiana University, it analyzes various factors such as tweet patterns, account metadata, and network interactions to estimate the likelihood that an account is a bot. BotOrNot uses machine learning algorithms trained on known bot and human accounts to make its assessments. While not infallible, it provides a useful metric for identifying potential bots, which can be crucial for understanding misinformation campaigns, automated spam, and other forms of digital manipulation. It’s widely used in academic research and by journalists.