Fake Persuasion

Working Paper: CEPR ID: DP13244

Authors: Jacob Glazer; Helios Herrera; Motty Perry

Abstract: We propose a model of product reviews with honest and fake reviews to study the value of information provided on platforms like TripAdvisor, Yelp, etc. In every period, a review is posted which is either honest, namely reveals the reviewer's true experience with the product/service, or fake, namely entirely fabricated in order to manipulate the public's beliefs. We establish that the equilibrium is unique and derive robust and interesting results about these markets. While fake agents are able to affect the public's beliefs in their preferred direction, aggregation of information takes place as long as some of the reviews are honest.

Keywords: Sender-Receiver Games

JEL Codes: C72; D82; D83


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
honest reviews (Y30)information aggregation (D83)
fake reviews (Y30)manipulation of beliefs (D91)
honest reviews (Y30)accurate beliefs about product quality (L15)
fake reviews (Y30)overall learning process (A22)
honest reviews (Y30)public beliefs (D83)

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