A THEORETICAL MODEL OF FALSE INFORMATION CONTROL
When considering a specific event, news that accurately reflects the ground truth is deemed as real information, while news that deviates from the ground truth is classified as false information. False information often spreads fast due to its novel and attention-grabbing content, threatening our society. By extending the Susceptible-Infected (SI) model, our research offers analytical decision boundaries that enable effective interventions to get desirable results, even when intermediate functions cannot be analytically solved. When assessing intervention costs using the model, the results indicate that the sooner we intervene, the lower the overall intervention cost tends to be.
Authors
- Nicolò Vallarano (ORCID: https://orcid.org/0000-0002-9018-9411)
- Claudio J. Tessone (ORCID: https://orcid.org/0000-0001-7733-6221)
- Fanyuan Meng (ORCID: https://orcid.org/0000-0002-5653-7152)
- Yu Zhang (ORCID: https://orcid.org/0000-0002-2162-685X)
Institutions
- Hangzhou Normal University (CN)
- University of Zurich (CH)
Publication Details
- Journal
- Advances in Complex Systems
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1142/s0219525925500122
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00