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Rumors and Social Networks

Francis Bloch, Gabrielle Demange and Rachel Kranton
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Rachel Kranton: PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique

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Abstract: Why do people spread rumors? This paper studies the transmission of possibly false information---by rational agents who seek the truth. Unbiased agents earn payoffs when a collective decision is correct in that it matches the true state of the world, which is initially unknown. One agent learns the underlying state and chooses whether to send a true or false message to her friends and neighbors who then decide whether or not to transmit it further. The papers hows how a social network can serve as a filter. Agents block messages from parts of the network that contain many biased agents; the messages that circulate may be incorrect but sufficiently informative as to the correct decision.

Keywords: Bayesian updating; Rumors; Misinformation; Social networks (search for similar items in EconPapers)
Date: 2014-03
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00966234v1
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Related works:
Working Paper: Rumors and social networks (2018) Downloads
Working Paper: Rumors and social networks (2018) Downloads
Working Paper: Rumors and Social Networks (2014) Downloads
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