59205

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Users’ Activity in Online Social Networks and the Formation of Echo Chambers

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-7281-1094-3

DOI: 

10.1109/MLSD49919.2020.9247720

Наименование конференции: 

  • 2020 13th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 13th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Moscow

Издательство: 

  • IEEE

Год издания: 

2020

Страницы: 

https://ieeexplore.ieee.org/document/9247720
Аннотация
In this paper, we develop an agent-based model to explore how agents’ activity patterns affect echo chamber formation when their mutual interactions are controlled using a personalization system algorithm that decides what information users will be exposed to. In our model, agents can undertake two types of actions: publish a post and like a post. Our experiments revealed that the key parameter that guides agents’ opinion dynamics is the probability of publishing a post: agents who often publish posts tend to enter echo chambers. In contrast, the roles of network topology and liking behavior are far less influential.

Библиографическая ссылка: 

Козицин И.В., Чхартишвили А.Г. Users’ Activity in Online Social Networks and the Formation of Echo Chambers / Proceedings of the 13th International Conference "Management of Large-Scale System Development" (MLSD). Moscow: IEEE, 2020. С. https://ieeexplore.ieee.org/document/9247720.