Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
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Abstract (arXiv)
Social media platforms disseminate extensive volumes of online content, including true and, in particular, false rumors. Previous literature has studied the diffusion of offline rumors, yet more research is needed to understand the diffusion of online rumors. In this paper, we examine the role of lifetime and crowd effects in social media sharing behavior for true vs. false rumors. Based on 126,301 Twitter cascades, we find that the sharing behavior is characterized by lifetime and crowd effects that explain differences in the spread of true as opposed to false rumors. All else equal, we find that a longer lifetime is associated with less sharing activities, yet the reduction in sharing is larger for false than for true rumors. Hence, lifetime is an important determinant explaining why false rumors die out. Furthermore, we find that the spread of false rumors is characterized by herding tendencies (rather than collective intelligence), whereby the spread of false rumors becomes proliferated at a larger retweet depth. These findings explain differences in the diffusion dynamics of true and false rumors and further offer practical implications for social media platforms.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jul 2022.
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Citing papers per year: 2023: 2; 2024: 1; 2025: 0; 2026: 2.
5 papers.
- 2024The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agentscited by 24
- 2023Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processingcited by 3
- 2023Analyzing User Characteristics of Hate Speech Spreaders on Social Mediacited by 0
- 2026One AI Signal, Many Human Judgments: A Bayesian Cascade Analysis of AI-based Credibility Indicators in Online Information Spreadcited by 0
- 2026Why Does Misinformation Propagate Faster? An Algorithmic Perspective on Xcited by 0
- 2026Why Does Misinformation Propagate Faster? An Algorithmic Perspective on X24 Sep 2026
- 2026One AI Signal, Many Human Judgments: A Bayesian Cascade Analysis of AI-based Credibility Indicators in Online Information Spread31 Aug 2026
- 2024The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents24 Oct 2024
- 2023Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing2 Dec 2023
- 2023Analyzing User Characteristics of Hate Speech Spreaders on Social Media24 Oct 2023