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Lost in Transmission

Authors: Graeber, Thomas W; Noy, Shakked; Roth, Christopher;

Lost in Transmission

Abstract

For many decisions, people rely on information received from others by word of mouth. How does the process of verbal transmission distort economic information? In our experiments, participants listen to audio recordings containing economic forecasts and are paid to accurately transmit the information via voice messages. Other participants listen either to an original recording or a transmitted version and then state incentivized beliefs. Our main finding is that, across a variety of transmitter incentive schemes, information about the reliability of a forecast is lost in transmission more than twice as much as information about the forecast's level. This differential information loss predictably distorts listeners' belief updates: following transmission, reliable and unreliable messages converge in influence and average belief updates from new information are weakened. Mechanism experiments show that the differential loss is not driven by transmitters deliberately trading off the costs and benefits of transmitting different kinds of information. Instead, it results from memory constraints during transmission, which can be overcome through targeted reminders.

Keywords

reliability, ddc:330, Information Transmission, information transmission, Reliability, D83, Word-of-mouth, word-of-mouth, narratives, C90, D91, Narratives

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Top 10%
Average
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