Suchergebnisse

The article presents the results of applied political research, the purpose of which is to determine the scale, mobilization potential, social base, and digital communication technologies of protest-oriented information flow in the Russian segment of social media on the eve of the Single Voting Day of 2021. The cognitive mapping implemented in the study made it possible to identify the meaningful characteristics of the information flow. The social media analysis made it possible to determine the dynamic and structural characteristics of the information flow, the gender and age specifics of the users involved in it, as well as quantitative characteristics of the activity of key communities forming protest information flows. The method of social
graphs revealed the structure of interaction between the opposition and protest communities of Telegram in 2021. The event analysis carried out during the study made it possible to fix the key peaks of growth in the dynamics of user activity around protest events and discourses. On this basis, it was possible to identify the triggers used to involve users in protest information flows (elections, law enforcement agencies, vaccination, socio-economic problems), typologize the communities forming the protest information flow (protest aggregator communities, news aggregator communities, local analytics communities), and model of mass protest mobilization (primary trigger — secondary trigger — offline protest).

The article presents the results of a study of Internet communications of Russian political parties at the start of a new electoral cycle in 2021. The research is interdisciplinary in nature and based on the following methodological approaches: post-behaviorism, implicit cognitive science, Predictor Mining. The empirical strategy includes a combination of methods: SMA, eye tracking and focus group interviews. During the implementation of the oculometric analysis, a protocol developed for evaluating the productivity of a combination of psychosemantic procedures and computer registration of a person's gaze during the 2018 election campaigns was selected to build a battery of visual stimuli. As a result of the study, the following features of respondents' perception of the Internet content of political parties are recorded: the main line of spectral opposition in the views of the Russian electorate is associated with the antagonism of such political parties as "United Russiа" and "Yabloko"; to a greater extent, at the time of the study, the electorate of "new parties" that achieved success in the regional elections in 2020 is mobilized; the reliance of "new" political parties on public opinion leaders becomes one of the basic tools for implementing their electoral tasks, etc. The proposed in the study methodology for attestation of Internet content can be in demand by political parties to improve the content and psychotechnological characteristics of their information flows in social media. The use of the developed methodology for applying oculometric analysis for the certification of Internet content will allow party actors to improve the targeting technology in cooperation with the electorate.