Emotional Dynamics in the Age of Misinformation
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Abstract (arXiv)
According to the World Economic Forum, the diffusion of unsubstantiated rumors on online social media is one of the main threats for our society. The disintermediated paradigm of content production and consumption on online social media might foster the formation of homophile communities (echo-chambers) around specific worldviews. Such a scenario has been shown to be a vivid environment for the diffusion of false claims, in particular with respect to conspiracy theories. Not rarely, viral phenomena trigger naive (and funny) social responses -- e.g., the recent case of Jade Helm 15 where a simple military exercise turned out to be perceived as the beginning of the civil war in the US. In this work, we address the emotional dynamics of collective debates around distinct kind of news -- i.e., science and conspiracy news -- and inside and across their respective polarized communities (science and conspiracy news). Our findings show that comments on conspiracy posts tend to be more negative than on science posts. However, the more the engagement of users, the more they tend to negative commenting (both on science and conspiracy). Finally, zooming in at the interaction among polarized communities, we find a general negative pattern. As the number of comments increases -- i.e., the discussion becomes longer -- the sentiment of the post is more and more negative.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 May 2015.
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Citing papers per year: 2021: 1; 2022: 4; 2023: 0; 2024: 1; 2025: 2.
8 papers.
- 2022An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changescited by 15
- 2022Exposing Influence Campaigns in the Age of LLMs: A Behavioral-Based AI Approach to Detecting State-Sponsored Trollscited by 8
- 2022Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubblescited by 8
- 2021Online Hate: Behavioural Dynamics and Relationship with Misinformationcited by 3
- 2022Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaignscited by 3
- 2024Inside the echo chamber: Linguistic underpinnings of misinformation on Twittercited by 1
- 2025An Analytical Emotion Framework of Rumour Threads on Social Mediacited by 0
- 2025Bridging Cognition and Emotion: Empathy-Driven Multimodal Misinformation Detectioncited by 0
- 2025Bridging Cognition and Emotion: Empathy-Driven Multimodal Misinformation Detection24 Apr 2025
- 2025An Analytical Emotion Framework of Rumour Threads on Social Media23 Feb 2025
- 2024Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter24 Apr 2024
- 2022Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles18 Oct 2022
- 2022Exposing Influence Campaigns in the Age of LLMs: A Behavioral-Based AI Approach to Detecting State-Sponsored Trolls17 Oct 2022
- 2022An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes25 Mar 2022
- 2022Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns19 Jan 2022
- 2021Online Hate: Behavioural Dynamics and Relationship with Misinformation28 May 2021