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The Impact of Online Social Network Algorithms on User Opinion Formationстатья
- Авторы: Chkhartishvili Alexander, Gubanov Dmitry
- Сборник: 2023 16th International Conference Management of large-scale system development (MLSD)
- Том: 82
- Год издания: 2023
- Место издания: IEEE
- DOI: 10.1109/mlsd58227.2023.10303932
- Аннотация: We examine a model that focuses on forming an information cascade of user comments on a post within an online social network. These comments exhibit various attitudes toward a specific issue and can be categorized as positive, negative, or neutral. The probability of a user composing a comment with a particular attitude is influenced by their initial opinion and the collection of previously posted comments they encounter. The arrangement of these comments in a specific order is determined by the social network's algorithm. Through simulation modeling, this study investigates the impact of the algorithm on the properties of the resulting information cascade.
- Добавил в систему: Губанов Дмитрий Алексеевич