Analysis of the effectiveness of the truth-spreading strategy for inhibiting rumors
Lu-Xing Yang, Pengdeng Li, Xiaofan Yang, Yingbo Wu, Yuan Yan Tang

TL;DR
This paper develops and analyzes a mathematical model to evaluate how effectively spreading truthful information can inhibit rumors within social networks, supported by simulations and theoretical criteria.
Contribution
It introduces a comprehensive URTU model to assess truth-spreading effectiveness and provides criteria for rumor termination influenced by network structures.
Findings
The URTU model accurately predicts rumor dynamics.
Truth-spreading can effectively inhibit rumors under certain conditions.
Simplified models align well with complex rumor-truth interactions.
Abstract
Spreading truths is recognized as a feasible strategy for inhibiting rumors. This paper is devoted to assessing the effectiveness of the truth-spreading strategy. An individual-level rumor-truth spreading model (the generic URTU model) is derived. Under the model, two criteria for the termination of a rumor are presented. These criteria capture the influence of the network structures on the effectiveness of the truth-spreading strategy. Extensive simulations show that, when the rumor or the truth terminates, the dynamics of a simplified URTU model (the linear URTU model) fits well with the actual rumor-truth interplay process. Therefore, the generic URTU model forms a theoretical basis for assessing the effectiveness of the truth-spreading strategy for restraining rumors.
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Evolutionary Game Theory and Cooperation
