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Persuading with Anecdotes

Author

Listed:
  • Nika Haghtalab
  • Nicole Immorlica
  • Brendan Lucier
  • Markus Mobius
  • Divyarthi Mohan

Abstract

We study a model of social learning and communication using hard anecdotal evidence. There are two Bayesian agents (a sender and a receiver) who wish to communicate. The receiver must take an action whose payoff depends on their personal preferences and an unknown state of the world. The sender has access to a collection of n samples correlated with the state of the world, which we think of as specific anecdotes or pieces of evidence, and can send exactly one of these samples to the receiver in order to influence her choice of action. Importantly, the sender's personal preferences may differ from the receiver's, which affects the seller's strategic choice of which anecdote to send. We show that if the sender's communication scheme is observable to the receiver (that is, the choice of which anecdote to send given the set they receive), then they will choose an unbiased and maximally informative communication scheme, no matter the difference in preferences. Without observability, however, even a small difference in preferences can lead to a significant bias in the choice of anecdote, which the receiver must then account for. This can significantly reduce the informativeness of the signal, leading to substantial utility loss for both sides. One implication is informational homophily: a receiver can rationally prefer to obtain information from a poorly-informed sender with aligned preferences, rather than a knowledgeable expert whose preferences may differ from her own.

Suggested Citation

  • Nika Haghtalab & Nicole Immorlica & Brendan Lucier & Markus Mobius & Divyarthi Mohan, 2021. "Persuading with Anecdotes," NBER Working Papers 28661, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28661
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    Cited by:

    1. Nika Haghtalab & Nicole Immorlica & Brendan Lucier & Markus Mobius & Divyarthi Mohan, 2022. "Communicating with Anecdotes," Papers 2205.13461, arXiv.org, revised Jul 2024.

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    JEL classification:

    • G4 - Financial Economics - - Behavioral Finance

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