Mitigating opinion polarization in social networks using adversarial attacks.

ABSTRACT: In recent years, the spread of social networking services (SNS) has made it easier to connect with people who have similar opinions. Accordingly, similar opinions are shared within a group, while the frequency of exposure to different opinions tends to decrease. As a result, the polarization of opinion among groups is more likely to occur. Some studies have been conducted to identify the conditions under which opinion polarization occurs by simulating opinion dynamics, but specific methods for mitigating it have been poorly understood. Recently, it was found that even a few artificial perturbations inspired by the adversarial attack reverse the result in voter models, where a minority opinion becomes dominant through these perturbations. In this study, we conducted numerical simulations to

SUBMITTER: Ninomiya M 

PROVIDER: S-EPMC11911447 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature