Explore the world of automated Twitter accounts and learn how to identify and track Twitter bots at scale in this 49-minute LASCON conference talk. Dive into the economy surrounding Twitter bots and their impact on online discussions and sentiment. Follow a three-step methodology to hunt down bots: build a comprehensive dataset using the Twitter API, identify common attributes of bot accounts, and develop a classifier for accurate large-scale bot detection. Discover techniques for gathering public Twitter account information, mapping social graphs, and recognizing bot operators' strategies to avoid detection. Gain insights into applying data science to tackle the bot problem effectively across a global dataset.