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A cross-platform analysis of polarization and echo chambers in climate change discussions (2410.21187v2)

Published 28 Oct 2024 in physics.soc-ph and cs.SI

Abstract: With the intensification of climate change discussion, social media has become prominent in disseminating reliable and unreliable content. In this study, we present a cross-platform analysis on Youtube and Twitter, and examine the polarization and echo chambers in social media discussions in four datasets related to climate change: COP27, IPCC, Climate Refugees, and Do~{n}ana. We have identified communities of users spreading misinformation on Twitter, although they remain relatively isolated from the rest of the network. The analysis by interaction type reveals that climate change sceptics use mentions to draw the attention of other communities. The YouTube posts referenced on Twitter reveal a strong correlation in the community organisation of social media, suggesting a platform alignment. Moreover, we report the presence of echo chambers in YouTube post-sharing related to mainstream and sceptical content.

Summary

  • The paper quantifies polarization using metrics like modularity and the E-I index, highlighting significant divisiveness in COP27 and Doñana discussions.
  • It finds that Twitter's mention-based interactions allow skeptics to isolate and amplify content, reinforcing echo chambers and misinformation.
  • The cross-platform analysis shows that users engaged with skeptical content on YouTube also interact similarly on Twitter, underscoring ecosystem-wide discourse fragmentation.

Polarization and Echo Chambers in Climate Change Discussions Across Social Media Platforms

The paper provides a comprehensive analysis of polarization and the formation of echo chambers in climate change discussions across two major social media platforms—Twitter and YouTube. Using four distinct datasets related to high-profile climate change topics, the paper reveals how social media dynamics contribute to the spread of misinformation and the formation of polarized social networks.

Numerical Results and Main Claims

The paper examines data related to the 2022 United Nations Climate Change Conference (COP27), the release of the IPCC's 6th Assessment Report, the issue of climate refugees, and discussions surrounding Doñana, a natural park in Spain. It quantifies polarization using metrics such as modularity and the E-I index, revealing significant levels of community polarization in the observed datasets. For instance, the paper finds particularly high polarization in the COP27 and Doñana datasets, suggesting that discussions related to international conferences or local politics are more divisive.

The analysis identifies isolated communities spreading misinformation, particularly on Twitter, where climate change sceptics engage by mentioning rather than retweeting content, aiming to draw attention from mainstream communities. This strategy contributes to the polarized landscape by segregating discourse into distinct activity spheres. Furthermore, the paper presents evidence of echo chambers, where users predominantly interact with others who share similar views, and highlights these effects as more pronounced in retweet networks compared to mention interactions.

On YouTube, findings indicate a robust connection between the content users engage with on both YouTube and Twitter, demonstrating cross-platform echo chamber effects. Specifically, the paper reveals how individuals likely to consume sceptical content on YouTube also tend to engage with similar themes on Twitter, aligning user communities across platforms.

Implications and Future Directions

The implications of the findings are manifold, affecting both theoretical frameworks and practical applications. Theoretically, the paper enriches our understanding of how social media platforms contribute to the fragmentation of public discourse, particularly in the domain of climate change, where consensus is crucial for effective action. The cross-platform analysis highlights the necessity to consider multiple social environments when analyzing polarization, suggesting that tackling misinformation requires an ecosystem-wide approach.

Future developments could expand these methods to other topics of public interest or further investigate the role of recommendation algorithms in exacerbating these dynamics. The paper opens pathways for developing interventions aimed at mitigating polarization by promoting cross-cutting interactions and curtailing echo chambers.

Conclusion

This paper rigorously evaluates how climate change discussions on Twitter and YouTube reflect and reinforce polarized views and echo chambers, posing challenges to public deliberation. The findings underscore the role of social media in shaping public discourse and emphasizes the importance of understanding these patterns to foster more cohesive communication strategies in tackling global issues like climate change.

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