The Transmission of Reliable and Unreliable Information
Thomas Graeber (),
Shakked Noy () and
Christopher Roth ()
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Thomas Graeber: University of Zurich
Shakked Noy: Massachusetts Institute of Technology
Christopher Roth: University of Cologne, CEPR, NHH, and MPI for Research on Collective Goods Bonn
No 371, ECONtribute Discussion Papers Series from University of Bonn and University of Cologne, Germany
Abstract:
Information often shapes behavior regardless of its quality: unreliable claims wield influence, while reliable ones are neglected. We propose that this occurs in part because word-of-mouth transmission tends to preserve claims while dropping information about their reliability. We conduct controlled online experiments where participants listen to economic forecasts and pass them on through voice messages. Other participants listen either to original or transmitted audio recordings and report incentivized beliefs. Across various transmitter incentive schemes, a claim’s reliability is lost in transmission much more than the claim itself. Reliable and unreliable information, once filtered through transmission, impact listener beliefs similarly. Mechanism experiments show that reliability is lost not because it is perceived as less relevant or harder to transmit, but because it is less likely to come to mind during transmission. A simple associative-memory framework suggests that reliability information may be less likely to come to mind either because it is less likely to be cued by transmission requests or because attempts to retrieve it face greater interference. Evidence from our experiments, a large corpus of everyday conversations, and economic TV news supports both of these mechanisms.
Keywords: Information Transmission; Word-of-mouth; Reliability; Memory; TV news (search for similar items in EconPapers)
JEL-codes: D83 D87 D91 (search for similar items in EconPapers)
Pages: 81
Date: 2025-09
New Economics Papers: this item is included in nep-des and nep-exp
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Persistent link: https://EconPapers.repec.org/RePEc:ajk:ajkdps:371
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