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Social bots have become an important component of online social media.Deceptive bots, in particular, can manipulate online discussions of importantissues ranging from elections to public health, threatening the constructiveexchange of information. Their ubiquity makes them an interesting researchsubject and requires researchers to properly handle them when conductingstudies using social media data. Therefore, it is important for researchers togain access to bot detection tools that are reliable and easy to use. Thispaper aims to provide an introductory tutorial of Botometer, a public tool forbot detection on Twitter, for readers who are new to this topic and may not befamiliar with programming and machine learning. We introduce how Botometerworks, the different ways users can access it, and present a case study as ademonstration. Readers can use the case study code as a template for their ownresearch. We also discuss recommended practice for using Botometer.

Botometer 101: Social bot practicum for computational social scientists