Mathematical modeling of disinformation and effectiveness of mitigation policies.

ABSTRACT: Disinformation is spread to manipulate public opinion for malicious purposes. Mathematical modeling was used to examine and optimize several strategies for combating disinformation-content moderation, education, and counter-campaigns. We implemented these strategies in a modified binary agreement model and investigated their impacts on properties of the tipping point. Social interactions were described by weighted, directed, and heterogeneous networks. Real social network data was examined as well. We find that content moderation achieved by removing randomly selected agents who spread disinformation is comparable to that achieved by removing highly influential agents; removing disinformation anywhere in a network could be an effective way to counter disinformation. An education strategy t

SUBMITTER: Butts DJ 

PROVIDER: S-EPMC10618487 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature