Detecting Political Bots on Twitter during the 2019 Finnish Parliamentary Election

Sippo Rossi, Matti Rossi, Bikesh Raj Upreti, Yong Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

15 Citations (Scopus)

Abstract

In recent years, the political discussion has been dominated by the impact of bots used for manipulating public opinion. A number of sources have reported a widespread presence of political bots in social media sites such as Twitter. Compared to other countries, the influence of bots in Finnish politics have received little attention from media and researchers. This study aims to investigate the influence of bots on Finnish political Twitter, based on a dataset consisting of the accounts following major Finnish politicians before the Finnish parliamentary election of 2019. To identify the bots, we extend the existing models with the use of user-level metadata and state-of-art classification models. The results support our model as a suitable instrument for detecting Twitter bots. We found that, albeit there is a huge amount of bot accounts following major Finnish politicians, it is unlikely resulting from foreign entities’ attempt to influence the Finnish parliamentary election.
Original languageEnglish
Title of host publicationProceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
PublisherHawaii International Conference on System Sciences
Publication date2020
Pages2430-2439
ISBN (Electronic)978-0-9981331-3-3
Publication statusPublished - 2020
MoE publication typeA4 Article in conference proceedings
EventHawaii International Conference on System Sciences - Hawaii, Maui, United States
Duration: 08.01.202010.01.2020
Conference number: 53
https://hicss.hawaii.edu/

Keywords

  • 113 Computer and information sciences
  • bot detection
  • Twitter
  • voter influencing

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