ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)


For citation:

Krylov A. K. Bifurcation of public opinion created by social media algorithms. Izvestiya VUZ. Applied Nonlinear Dynamics, 2022, vol. 30, iss. 3, pp. 261-267. DOI: 10.18500/0869-6632-2022-30-3-261-267

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
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Language: 
Russian
Article type: 
Short communication
UDC: 
004.94

Bifurcation of public opinion created by social media algorithms

Autors: 
Krylov Andrej Konstantinovich, Institute of Psychology of RAS
Abstract: 

The purpose of this work is to consider the possibility of nonlinear influence of social media algorithms to the users opinions. A social media inherent algorithm of information ranging interacts with the user inherent bias and that increases the positive feedback loop. The result of this interaction is receiving by the user the only one side of an opinion and the user looses the very possibility to receive the opposite information. The conditions for the society polarization by means of a social media are investigated. Methods. In this paper, a model of users opinions dynamics was studied. There are two types of user’s strategy was considered: strategy 1, when a user puts "like" on information with proximity to his own view, but differed in any direction; strategy 2, when a user puts "like" on information along his own view, but more strict. Results. It was shown that for strategy 1 the society comes to a consensus, but for strategy 2 the society polarizes to the two opposite views. Considering the mixed society, where both strategies are used, it was found that the bifurcation to the society polarization appears when there are more than 40% of people using strategy 2. Conclusion. The inherent algorithms of social media, which are created to adapt in coming information to the user’s interests, creates or amplifies the bias of the user’s opinion and locks the user in an information chamber of only one type. That effect is substantially created by the social media algorithm itself. Thus interaction of users within a social media may increase the polarization of a society more than if they would communicate offline.

Acknowledgments: 
This work was supported by Russian Foundation for Basic Research, grant No. 18-29-22045
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Received: 
10.11.2021
Accepted: 
19.01.2022
Published: 
31.05.2022