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Bots and online climate discourses: Twitter discourse on President Trump’s announcement of U.S. withdrawal from the Paris Agreement

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  • Thomas Marlow
  • Sean Miller
  • J. Timmons Roberts

Abstract

In the early days of social media, social scientists speculated that it could support democracy because large media conglomerates could not dominate it. Regarding climate change, research documents the influence of the fossil fuel industry in climate denial discourses in the traditional media. Therefore, a similar hope emerged that a more democratized platform would see less polarization in belief about climate change's scientific basis. However, online public opinion about climate change continues to be extremely polarized, and the social forces behind it are not well understood. Here, we examine the role of one proposed mechanism for the systemic polarization and spread of disinformation in online discourses - the automated social media bot. This article pioneers the use of bot detection software on climate change discussion on Twitter, using automated monitoring of 6.8 million tweets. We examine the period around the time of U.S. President Donald Trump's announcement of U.S. withdrawal from the Paris Agreement on June 1, 2017. We find that the announcement generated an immediate online social movement response with very low suspected bot presence. Prior to and afterwards, however, suspected bots were responsible for approximately 25% of original tweets. Additionally, we find that suspected bots were more frequent in some topic areas than others, including denialist discourses focused on research questioning the reality or importance of climate change.Key policy insights On an average day during our study period, automated bots produced an estimated one-quarter of all original tweets referencing climate change and global warming.Bots were more active in some discussion areas than others - including climate denialist messages.President Trump's announcement of the U.S.'s planned withdrawal from the Paris Agreement generated an immediate online social movement response with very low suspected bot presence.For social media to deliver on its promise of a decentralized and democratic forum, automated accounts need to be identified, marginalized, and removed.

Suggested Citation

  • Thomas Marlow & Sean Miller & J. Timmons Roberts, 2021. "Bots and online climate discourses: Twitter discourse on President Trump’s announcement of U.S. withdrawal from the Paris Agreement," Climate Policy, Taylor & Francis Journals, vol. 21(6), pages 765-777, July.
    • Handle: RePEc:taf:tcpoxx:v:21:y:2021:i:6:p:765-777
    DOI: 10.1080/14693062.2020.1870098
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    Cited by:

    1. Kai-Cheng Yang & Emilio Ferrara & Filippo Menczer, 2022. "Botometer 101: social bot practicum for computational social scientists," Journal of Computational Social Science, Springer, vol. 5(2), pages 1511-1528, November.
    2. Zixuan Weng & Aijun Lin, 2022. "Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(24), pages 1-17, December.

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