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Analyzing political bots on Twitter: an introduction
Umeå University, Faculty of Social Sciences, Department of Sociology.ORCID iD: 0000-0001-6289-9427
2025 (English)In: Handbook of Computational Social Science / [ed] Taha Yasseri, Emerald Group Publishing Ltd. , 2025, p. 347-359Chapter in book (Refereed)
Abstract [en]

This chapter introduces the phenomenon of political bots on social media, with a particular focus on Twitter. First, an explanation is given of what political bots are. Second, a brief orientation is provided on how they can be approached theoretically. Third, an example dataset—covering #antifa tweets 2016–2020—is used to illustrate how attempts can be made to detect bots. Finally, fourth, concise examples are given of how one might proceed with computational analyses (SNA and NLP) informed by the bot detection information. The aim of this chapter is to give initial conceptual and methodological guidance for scholars in the area of computational social science who venture into the field of studying political bots.

Place, publisher, year, edition, pages
Emerald Group Publishing Ltd. , 2025. p. 347-359
Keywords [en]
Automation, Political Bots, Social Media, Social Network Analysis, Topic Modeling
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-251862DOI: 10.4337/9781802207309.00039Scopus ID: 2-s2.0-105030900813ISBN: 9781802207309 (electronic)ISBN: 9781802207293 (print)OAI: oai:DiVA.org:umu-251862DiVA, id: diva2:2053148
Available from: 2026-04-15 Created: 2026-04-15 Last updated: 2026-04-15

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Lindgren, Simon

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