Social Science Research Council Research AMP Just Tech
Citation

33: Social bots: detection and challenges

Author:
Yang, Kai-Cheng; Varol, Onur; Nwala, Alexander C.; Sayyadiharikandeh, Mohsen; Ferrara, Emilio; Flammini, Alessandro; Menczer, Filippo
Year:
2025

Although social media is a key source of data for computational social science, the ease with which it can be manipulated by malicious actors threatens the integrity of online information exchanges and their analysis. In this chapter, we focus on malicious social bots, a prominent vehicle for such manipulation. We start by discussing recent studies about the presence and actions of social bots in various online discussions, highlighting their real-world implications and the need for detection methods. Then we discuss the challenges of bot detection methods and use Botometer, a publicly available bot detection tool, as a case study to describe recent developments in this area. We close with a practical guide on how to handle social bots in social media research.