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Governing digital misinformation: A computational analysis of platform intervention using a three-party evolutionary
1School of Economics and Management, Yanshan University, Qinhuangdao, Hebei, China.
Plos One
|July 17, 2026
Summary
Platforms can combat misinformation by actively intervening in rumor governance. Increasing platform supervision and clarifier efforts leads to an ideal equilibrium, effectively debunking false information on short video platforms.
Area of Science:
- Digital Governance
- Information Science
- Game Theory
Background:
- Misinformation on short video platforms challenges digital governance and public trust.
- The strategic role of platforms in managing rumors is underexplored.
Purpose of the Study:
- To introduce a tripartite evolutionary game model integrating platforms, rumor spreaders, and information clarifiers.
- To analyze strategic interactions within an extended information diffusion framework (SICR).
Main Methods:
- Developed a tripartite evolutionary game model with bounded rational platforms.
- Combined the game model with the extended SICR (Susceptible-Rumor spreader-Clarifier-Recovered) framework.
- Conducted numerical simulations to identify evolutionary stable states.
Main Results:
- Increasing platform intervention probability and perceived benefits drives the system toward an ideal equilibrium.
- This equilibrium features strict platform supervision and active rumor debunking by clarifiers.
- A case study of the "Hengshan Bus" incident validated the model's applicability.
Conclusions:
- Platforms play a crucial, strategically complex role in self-regulation and combating misinformation.
- Proactive platform intervention accelerates the spread of corrective information.
- Findings offer insights for designing co-governance mechanisms on Chinese short-video platforms.
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