Persuasion on Networks

Working Paper: CEPR ID: DP13723

Authors: Konstantin Sonin; Georgy Egorov

Abstract: We analyze persuasion in a model, in which each receiver might buy a direct access to the sender's signal or to rely on her network connections to get it. For the sender, a higher slant increases the impact per direct receiver, yet diminishes the willingness of agents to receive information. Contrary to naive intuition, the optimal propaganda might target peripheral, rather than centrally-located agents, and is at its maximum levels when the probability that information flows between agents is close to zero or nearly one, but not in-between. The impact of the network density depends on this probability as well.

Keywords: propaganda; networks; bayesian persuasion; percolation

JEL Codes: P16; D85; L82


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
higher slant (Y20)increased impact on direct receivers (F69)
higher slant (Y20)decreased willingness of agents to subscribe for information (D82)
optimal propaganda strategy (D72)targets peripheral agents (L65)
probability of information flow (D89)effectiveness of propaganda (C92)
network structure (D85)sender's ability to persuade (D72)
increased network density (D85)decreases optimal slant (H21)

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