Testing Methods for Processing Comments from Telegram Channels and Public VKontakte to Analyze the Social Media

Boris A. Nizomutdinov, Olga G. Filatova

Abstract


The paper presents a comparative analysis of two official sources of information, using the example of a group in the social network VKontakte and the Telegram channel of the head of the Irkutsk region. The object of research is the comments that are published under official records and posts. Automated methods for collecting and processing comments were used. The VKontakte API and the Telescrape library were used to parse data from Telegram. The functionality of the desktop version of the Telegram messenger made it possible to upload comments from any open channel in JSON format. All the results obtained were saved in the Yandex Data Leans BI system. For the collected information, thematic modeling was carried out, 10 main topics were identified, which are discussed in the comments on VKontakte and on Telegram. The Gensim model of the Python library was used to create thematic models.  A comparative analysis of the selected topics showed that in the comments on VKontakte and on Telegram, different socio-economic problems raised by the inhabitants of the region are noticeable and they are ranked differently. The methods and approaches used, in general, have shown their effectiveness as an analytical tool for collecting and evaluating comments from different types of social media, which, in particular, makes it possible to identify their deliberative potential.


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References


Rainie L., Smith A., Schlozman K., Brady H., Verba S. Social media and political engagement. Pew Research: Internet Project, 2012.

Marquart F., Ohme J., Möller J. Following Politicians on Social Media: Effects for Political Information, Peer Communication, and Youth Engagement. // Media and Communication. 2020. Vol. 8 (2). P. 197-207.

Chugunov A.V., Nizomutdinov B.A., Budyak A.A. Telegram channels of heads of constituent entities of the Russian Federation: testing research tools // International Journal of Open Information Technologies. 2022, Vol. 10 (11). P. 141-146.

Stromer-Galley J. Measuring deliberation’s content: A coding scheme // Journal of Public Deliberationю 2007. Vol. 3 (1). P. 31–35.

Stromer–Galley J., Muhlberger P. Agreement and disagreement in group deliberation: Effects on deliberation satisfaction, future engagement, and decision legitimacy // Political Communication. 2009. Vol. 26 (2). P.173–192.

Stromer-Galley J., Bryan, L., Bimber, B. Context and medium matter: Expressing disagreements online and face-to-face in political deliberations // Journal of Public Deliberation, 2015. Vol. 11 (1). Art. 1.

Scudder M.F. Beyond Empathy and Inclusion: The Challenge of Listening in Democratic Deliberation. Oxford: Oxford Univ. Press, 2020.

Pflughoeft B.R., Schneider I.E. Social media as E-participation: Can a multiple hierarchy stratification perspective predict public interest? // Government Information Quarterly. 2020. Vol. 37 (1). Article 101422. DOI: 10.1016/j.giq.2019.101422.

Oliveira C. Proposed solutions to citizen engagement in virtual environments of social participation: a systematic review // International Journal of Electronic Governance. 2020. Vol. 12 (1). P. 76 – 91. DOI: 10.1504/IJEG.2020.106994.

Arshad S., Khurram S. Can government’s presence on social media stimulate citizens’ online political participation? Investigating the influence of transparency, trust, and responsiveness // Government Information Quarterly. 2020. Vol. 37 (3). Article 101486. DOI: 10.1016/j.giq.2020.101486.

Misnikov Y. How to read and treat online public discussions among ordinary citizens beyond political mobilisation: Empirical evidence from the Russian-language online forums // Digital Icons: Studies in Russian, Eurasian and Central European New Media. Leeds, 2012. Vol. 7. P. 1–37.

Fournier-Tombs E., Di Marzo Serugendo G. DelibAnalysis: Understanding the Quality of Online Political Discourse with Machine Learning // Journal of Information Science. 2020. Vol. 46 (6). P. 810–922.

Begen P., Misnikov Y., Filatova O. Application of automated tools in researching internet discourses: Experience of using the recurrent neural networks for studying discussions on pension reform // 21st Conference on Scientific Services and Internet, SSI-2019. CEUR Workshop Proceedings. 2020. Vol. 2543. P. 336–344.

Nizomutdinov B., Uglova A. Application of data from social networks for value-based management of city development programs // ICEGOV 2021: 14th International Conference on Theory and Practice of Electronic Governance October 2021. P. 520–522.

Donchenko D., Ovchar N., Sadovnikova N., Parygin D., Shabalina O., Ather D. Analysis of Comments of Users of Social Networks to Assess the Level of Social Tension // Procedia Computer Science. 2017. Vol. 119. P. 359-367.

Strukova I. Yu. Characterological features of modern political Internet discourse on the example of the Telegram messenger // Language and culture: the view of young people: Materials of the III International scientific conference of students and schoolchildren in the framework of the International St. Cyril and Methodius Festival of Slavic Languages and Cultures, Moscow, May 26–28, 2020. M: State Institute of the Russian Language. A.S. Pushkin, 2020. P. 441-445.

Agabaeva S. M. Sh. Features of the influence of Telegram news channels on the formation of the information agenda in Russia // Successes in the Humanities. 2022. No. 11. P. 43-48.

Smirnov K. D. Anonymous political Telegram channels as a means of influencing the information agenda // Opportunities and threats of the digital society: Proceedings of the conference of the All-Russian Scientific and Practical Conference, Yaroslavl, April 22, 2020 / Under edited by A.V. Sokolova, A.A. Frolova. Yaroslavl: Limited Liability Company "Digital Typography", 2020. P. 215-218.

Ivanov D.S. Aggregation of political rumors in the Telegram messenger: the experience of the Volgograd region in 2018 / D.S. Ivanov // International Scientific Research Journal. 2019. No. 12-2(90). P. 156-158. – DOI 10.23670/IRJ.2019.90.12.079.

Zherdeva Yu. R. Mobile application "Telegram" as a tool for forming the image of a politician // Literary criticism, linguistics and communication studies: directions and trends of modern research: Proceedings of the II All-Russian Correspondence Scientific Conference, Ufa, February 12, 2018 / Ed. ed. A. V. Kurochkina. Ufa: Bashkir State University, 2018. P. 127-128.

Volkova N. N., Romanyuk E. I. Development of the digital environment of Russian regions // Problems of territory development. 2019. No. 5 (103). P.38-52.

Ratings of governors in the media according to MediaIndex // Medialogy. URL: https://www.mlg.ru/ratings/vlast/governors/11710.

Polilog research // Polilog. Expertise. URL:https://t.me/polylog_expertise/554


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