The influence of ranking algorithms, bots and content moderation on opinion formation in social networks
- 作者: Gubanov D.A.1, Chkhartishvili A.G.1
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隶属关系:
- V.A. Trapeznikov Institute of Control Sciences of RAS
- 期: 编号 112 (2024)
- 页面: 109-128
- 栏目: Networking in control sciences
- URL: https://journals.rcsi.science/1819-2440/article/view/284213
- ID: 284213
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This paper considers a model of information cascade formation in online social networks, accounting for the influence of content ranking algorithms, bot actions, and content moderation. Special attention is given to opinion dynamics, which is critically important for predicting and managing social processes. Unlike traditional models, in this case, the opinions of agents (users) are not directly observable: their actions, such as posting comments, act as indirect indicators of their opinions. These actions influence the opinions of other users, leading to the formation of an information cascade within the network. The model incorporates additional factors such as comment ranking algorithms, bot behavior, and content moderation. Computational experiments demonstrate that ranking algorithms significantly affect the dynamics of opinions and actions, particularly when users have a limited view depth. Moreover, the introduction of bots and moderation can substantially alter the course of discussions. The study explores the interaction of strategic players, including the moderator and bots with opposing views, and predicts the outcome of their interactions based on Nash equilibria. Finally, the problem of a control subject (principal) is formalized and solved for a specific case, where it seeks to advance a specific viewpoint in the network by influencing bots within the network.
作者简介
Dmitry Gubanov
V.A. Trapeznikov Institute of Control Sciences of RAS
Email: dmitry.a.g@gmail.com
Moscow
Alexander Chkhartishvili
V.A. Trapeznikov Institute of Control Sciences of RAS
Email: sandro_ch@mail.ru
Moscow
参考
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