Towards Designing Social Interventions for Online Climate Change Denialism Discussions

As conspiracy theories gain traction, it has become crucial to research effective intervention strategies that can foster evidence and science-based discussions in conspiracy theory communities online. This study presents a novel framework using insider language to contest conspiracy theory ideology in climate change denialism on Reddit. Focusing on discussions in two Reddit communities, our research investigates reactions to pro-social and evidence-based intervention messages for two cohorts of users: climate change deniers and climate change supporters. Specifically, we combine manual and generative AI-based methods to craft intervention messages and deploy the interventions as replies on Reddit posts and comments through transparently labeled bot accounts. On the one hand, we find that evidence-based interventions with neutral language foster positive engagement, encouraging open discussions among believers of climate change denialism. On the other, climate change supporters respond positively, actively participating and presenting additional evidence. Our study contributes valuable insights into the process and challenges of automatically delivering interventions in conspiracy theory communities on social media, and helps inform future research on social media interventions.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757432
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards Designing Social Interventions for Online Climate Change Denialism Discussions

Beth Goldberg, Tanushree Mitra, Shruti Phadke, Ruican Zhong
Proceedings of the ACM on Human-Computer Interaction
Social Media and Politics
article

Towards Designing Social Interventions for Online Climate Change Denialism Discussions

Beth Goldberg, Tanushree Mitra, Shruti Phadke, Ruican Zhong
article en

Abstract

As conspiracy theories gain traction, it has become crucial to research effective intervention strategies that can foster evidence and science-based discussions in conspiracy theory communities online. This study presents a novel framework using insider language to contest conspiracy theory ideology in climate change denialism on Reddit. Focusing on discussions in two Reddit communities, our research investigates reactions to pro-social and evidence-based intervention messages for two cohorts of users: climate change deniers and climate change supporters. Specifically, we combine manual and generative AI-based methods to craft intervention messages and deploy the interventions as replies on Reddit posts and comments through transparently labeled bot accounts. On the one hand, we find that evidence-based interventions with neutral language foster positive engagement, encouraging open discussions among believers of climate change denialism. On the other, climate change supporters respond positively, actively participating and presenting additional evidence. Our study contributes valuable insights into the process and challenges of automatically delivering interventions in conspiracy theory communities on social media, and helps inform future research on social media interventions.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
Google (United States) (US), University of Washington (US), Drexel University (US)
Openalex Percentile: Top 66%
Social Media and Politics
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Towards Designing Social Interventions for Online Climate Change Denialism Discussions — Beth Goldberg, Tanushree Mitra, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS