The GBN-Dialogue Model of Outgroup-Negative Rumor Transmission: Group Membership, Belief, and Novelty

Authored by Bernard P. Brooks, Nicholas DiFonzo, David S. Ross

Date Published: 2013-04

Sponsors: United States National Science Foundation (NSF)

Platforms: No platforms listed

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

A two-step agent-based mathematical model of negative rumor spread in the context of conflicting groups is presented. The GBN-Dialogue model builds on rumor theory, focuses on person-to-person interaction characteristics, and is dynamical. The model first estimates the probability of rumor transmission between two persons based on their transmission motivation (which is a function of their Group (G) memberships), the strengths of their belief (B) in the rumor, and the Novelty (N) of the rumor for each person. Psychological and sociological research informs this Transmission Probability Function. In the second step, belief levels and rumor novelty of each participant change as a result of rumor transmission and time; literature on attitude change guides these updating functions. Empirical support is presented by comparing rumor transmission literature with results of Monte Carlo simulations on different network topologies. The validity of the model's assumptions is addressed by comparison with simpler and more complex alternatives.

Tags

Social networks Agent-based modeling Communication Groups belief dialogue gossip interest rumour