Sharp power in social media: Patterns from datasets across electoral campaigns

Authors

  • Simo Hanouna
  • Omer Neu
  • Sharon Pardo
  • Oren Tsur
  • Hila Zahavi

DOI:

https://doi.org/10.30722/anzjes.vol11.iss3.15110

Keywords:

Canada, sharp power, machine learning, Twitter, social networks, political trolls, bots, foreign political meddling

Abstract

Using Christopher Walker’s and Jessica Ludwig’s ‘sharp power’ theoretical framework, and based on some preliminary findings from the May 2019 European Parliament election and the two 2019 rounds of elections in Israel, this article describes a novel method for the automatic detection of political trolls and bots active in Twitter in the October 2019 federal election in Canada. The research identified thousands of accounts invested in Canadian politics that presented a unique activity pattern, significantly different from accounts in a control group. The large-scale cross-cross-sectional approach enabled a distinctive perspective on foreign political meddling in Twitter during the recent federal election campaign. This
foreign political meddling, we argue, aims at manipulating and poisoning the democratic process and can challenge democracies and their values, as well as their societal resilience.

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Published

2021-02-05