THE METHOD OF INFORMATIONAL INFLUENCE ON POLITICAL PREFERENCES THROUGH THE CREATION OF MEDIA COALITIONS BASED ON C-CORE
Background. One of the important ways to achieve certain goals in the modern world is the wide use of cyberspace and information influence. As a result of the high rate of development of digital communications, they have a serious impact on numerous spheres of human life, in particular, economic and political processes. Recently, information influence, for example, in such forms as information injection, sharpening of information drives, etc., is gaining critical importance on political processes inside any country, which can pose problems for the security of the state. Objective. The purpose of the work is to develop a way to create a coalition among information sources to ensure influence on certain groups of society in order to achieve political goals. Methods. To achieve the goal, it is proposed to use a simple game as a prerequisite for creating a coalition; profit sharing based on the C-core concept; of the Nash arbitrage decision for solving the multi-criteria optimization problem. Results. A model of influence on political preferences has been developed, in which participants divided into two groups have gains only if they join a coalition, i.e., the cooperative game is a simple game. The first group includes media sources whose activities influence a small number of people. The second group contains a media resource of a different nature. With the help of a game approach, a multi-criteria problem was formalized with the selection of the maximum results of each of the groups and its solution was found. Conclusions. A model has been developed for creating informational influence on political processes due to the integration of certain information sources, which makes it possible to solve the problem of optimal distribution of information resources of media sources with a small level of influence on society, based on the Nash arbitration decision.
Authors
- Alina Myronets (ORCID: https://orcid.org/0009-0003-2206-7505)
- Ivan Tereshchenko (ORCID: https://orcid.org/0000-0003-0823-7507)
Institutions
- Max Planck Society (DE)
Publication Details
- Journal
- KPI Science News
- Published
- 2024-12-31
- DOI
- https://doi.org/10.20535/kpisn.2024.1-4.312715
- Primary Topic
- Social Media and Politics
- Type
- article
- Field-Weighted Citation Impact
- 0.00