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Credibility of climate change denial in social media

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  • Abhishek Samantray

    (IMT School for Advanced Studies Lucca)

  • Paolo Pin

    (University of Siena
    Bocconi University)

Abstract

Public perception about the reality of climate change has remained polarized and propagation of fake information on social media can be a potential cause. Homophily in communication, the tendency of people to communicate with others having similar beliefs, is understood to lead to the formation of echo chambers which reinforce individual beliefs and fuel further increase in polarization. Quite surprisingly, in an empirical analysis of the effect of homophily in communication on the level of polarization using evidence from Twitter conversations on the climate change topic during 2007–2017, we find that evolution of homophily over time negatively affects the evolution of polarization in the long run. Among various information about climate change to which people are exposed to, they are more likely to be influenced by information that have higher credibility. Therefore, we study a model of polarization of beliefs in social networks that accounts for credibility of propagating information in addition to homophily in communication. We find that polarization can not increase with increase in homophily in communication unless information propagating fake beliefs has minimal credibility. We therefore infer from the empirical results that anti-climate change tweets are largely not credible.

Suggested Citation

  • Abhishek Samantray & Paolo Pin, 2019. "Credibility of climate change denial in social media," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
  • Handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0344-4
    DOI: 10.1057/s41599-019-0344-4
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    Cited by:

    1. Antonio Castillo Esparcia & Sara López Gómez, 2021. "Public Opinion about Climate Change in United States, Partisan View and Media Coverage of the 2019 United Nations Climate Change Conference (COP 25) in Madrid," Sustainability, MDPI, vol. 13(7), pages 1-19, April.
    2. Andrés Navarro & Francisco J. Tapiador, 2023. "Twitch as a privileged locus to analyze young people’s attitudes in the climate change debate: a quantitative analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    3. Renáta Németh, 2023. "A scoping review on the use of natural language processing in research on political polarization: trends and research prospects," Journal of Computational Social Science, Springer, vol. 6(1), pages 289-313, April.
    4. Kirtika Deo & Abhnil Amtesh Prasad, 2020. "Evidence of Climate Change Engagement Behaviour on a Facebook Fan-Based Page," Sustainability, MDPI, vol. 12(17), pages 1-16, August.

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