Analysis of the destructive content of telegram channels as a factor in the development of self-destructive behavior

Anna Uglova, Boris Nizomutdinov


The information space provides a large amount of destructive, stressful information, and restricts self-destructive behavior. The article considers the possibility of using automated analysis of destructive content of telegram channels to predict the risks of developing self-destructive behavior. A comprehensive approach has been implemented taking into account the theoretical analysis of socio-psychological factors of self-destructive behavior, unloading of the content of popular telegram channels. To collect information, the built-in messenger functions were used, a system for assessing the tonality and searching for messages on a given topic was developed for data processing. The study was conducted on the example of the analysis of 269 channels. The content of telegram channels was analyzed on 9 topics (the main types of self-destructive behavior, factors contributing to its development). As a result, the volume of destructive content for different categories of channels was calculated, significantly significant differences in the representation of destructive content on the main topics were revealed. A data collection model is also described, which can later be used to monitor and specify the risks of self-destructive behavior.

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E.P. Garagasheva, O.V. Molina, O.V. Talchuk, “The role of telegram channels in suicide propaganda”, University Medicine of the Urals, vol. 7, no. 2(25), pp. 44-45, 2021.

I.S. Gvozdeva, et al, “Special psychological knowledge in the investigation of the motivation of minors to commit suicide using the Internet”, Suicidology, vol. 9, no. 4, pp. 118-137, 2018.

M.G. Kovtunovich, M.D. Dammer, V.V. Kovrov, M.A. Korytova, “Investigation of the presence of a complex manifestation of stress in university students when working in a digital educational environment”, Modern problems of science and education, no. 1, p. 35, 2021.

N.N. Koroleva, I.M. Bogdanovskaya, A.B. Bogdanovskaya, “Semantic space of concepts of deviant behavio”, in Actual human problems in the innovative conditions of modern education and science. collection of materials of the second All-Russian student scientific and practical conference, A.I. Herzen Russian State Pedagogical University, 2013, pp. 177-183.

I. Lyakhovenko, “Telegram channels in the system of expert and political communication in modern Russia”, Galaxy of Mass media: Journal of Media Research, vol. 4, no. 1, pp. 114-144, 2022.

B.A. Nizomutdinov, A.B. Uglova, “Analysis of social network data for monitoring the needs of residents in the development of urban infrastructure”, in Modern public administration: education, science, practice. collection of articles of the international scientific and practical conference, Minsk, 2021, pp. 233-235.

A.V. Postalovsky, “Messengers in the structure of media messages of the national audience”, Journal of the Belarusian State University. Sociology, no. 1, pp. 120-128, 2021.

D.V. Sokolova, “Distribution of media content in telegram: transformation of media strategies and site features”, in World journalism: unity of diversity. Collection of scientific articles. In 2 volumes, Moscow, 2018, pp. 284-292.

T.A. Shestakov, Yu.A. Leonov, A.A. Kuzmenko, A.S. Sazonova, R.A. Filippov, “Intellectual analysis of information about users of social networks”, Applied Mathematics and management issues, no. 4, pp. 72-91, 2021.

M. Ledzinska, S. Postec, “From metaphorical information overflow and overload to real stress: theoretical background, empirical data and applications”, European Journal of Management, pp. 785-793, 2017.

N. Makrinikola, E. Auad, R. Miranda, “Does the use of social networks increase the risk of suicide? A systematic review of the evidence”, Computers in Human Behavior Reports, p. 100094, 2021.

A.D. Nobari, K.M.H. Sarraf, Characteristics of viral messages in Telegram; The world's largest hybrid public and private messenger”, Expert systems with applications, p. 114303, 2020.

M.M. Rezai, “Telegram Group's Content-Based Recommendation System”, in 27th International Computer Conference, Computer Society of Iran (CSICC), 2022, doi: 10.1109/CSICC55295.2022.9780495.

E.A. Svedo, J.L. Beauregard, S.A. Sumner, “Associations between social networks and suicidal behavior during the Suicide Youth cluster in Ohio”, Journal of Adolescent Health, pp. 308-316, 2020.


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