Debunking Rumors in Networks

Luca Merlino, Paolo Pin and Nicole Tabasso

Papers from arXiv.org

Abstract: We study the diffusion of a true and a false message (the rumor) in a social network. Upon hearing a message, individuals may believe it, disbelieve it, or debunk it through costly verification. Whenever the truth survives in steady state, so does the rumor. Communication intensity in itself is irrelevant for relative rumor prevalence, and the effect of homophily depends on the exact verification process and equilibrium verification rates. Our model highlights that successful policies in the fight against rumors increase individuals' incentives to verify.

Date: 2020-10, Revised 2022-05
New Economics Papers: this item is included in nep-mic, nep-net, nep-pay and nep-soc
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http://arxiv.org/pdf/2010.01018 Latest version (application/pdf)

Related works:
Journal Article: Debunking Rumors in Networks (2023)
Working Paper: Debunking Rumors in Networks (2023)
Working Paper: Debunking Rumors in Networks (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2010.01018

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