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Telegram channels covering Russia’s invasion of Ukraine: a comparative analysis of large multilingual corpora

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Abstract

Telegram channels are essential in covering Russia’s war in Ukraine. The article compares the war coverage by voenkory, military bloggers in Ukraine and Russia, with war-related news items disseminated by legacy media, both print and electronic (TV, online news portals). A corpus of political and media discourses about the war during its first year was content analyzed using a custom-built Ukrainian-Russian-English-French “dictionary of war.” The corpus contains sources from five countries: Ukraine, Russia, the United States, the United Kingdom and France, including the twenty most popular Telegram channels about the war in Ukraine and Russia (119 million words). The study demonstrates the potential of semi-supervised methods of content analysis for studying highly heterogeneous multi-language corpora. It shows how digital propaganda works in the case of war reporting. Military bloggers, actors of white propaganda, appear to outperform bots and throlls. The article also adds a comparative dimension to studies of social media. On the one hand, digital war reporting is compared with war reporting in legacy media. Russian voenkory discussed the invasion in greater technical detail than in national legacy media, whereas Ukrainian voenkory emphasized its ideological dimension more. On the other hand, the comparison extends to include several countries and periods. As the war unfolded, Ukrainian military bloggers’ coverage became less ideological and more technical, too.

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Data availability

Data in.ppj format is available upon request.

Notes

  1. For instance, Ukrainian respondents in the July 2022 survey were prompted to identify two principal sources, whereas no such restriction was imposed in the Russian poll.

  2. The list of banned internet resources is available at https://blocklist.rkn.gov.ru/.

  3. This list is appended to the Presidential decree from April 28, 2017 (https://www.president.gov.ua/documents/1332017-21850).

  4. Federal’nyi Zakon from March 4, 2022 No 32-FZ “O vnesenii izmenenii v Ugolovnyi kodeks Rossiiskoi Federatsii i stat’i 31 i 151 Ugolovno-processual’nogo kodeksa Rossiiskoi Federatsii” (http://publication.pravo.gov.ru/Document/View/0001202203040007).

  5. Zakon Ukraїny pro vnesennia zmin do deiakykh zakonodavchykh aktiv Ukraїny shchodo posylennia krymynal’noї vidpovidal’nosti za vygotovlennia ta poshyrennia zaboronenoї informatsiinoї produktsiї (https://zakon.rada.gov.ua/laws/show/2110-20#Text).

  6. Zakon Ukraїny pro vnesennia zmin do Krymynal’nogo ta Krymynal’nogo processual’nogo kodelsiv Ukraїny shchodo zabezpechennia protydiї nesanktsionovannomu poshyrenniu informatsiї pro napravlennia, peremishchennia zbroї, ozbroennia to boiovykh prypasiv… (https://zakon.rada.gov.ua/laws/show/2160-%D0%86%D0%A5#Text).

  7. The survey included the open-ended question: "In your view, why did Russia start the special military operation in Ukraine?" Answers to this question were content analyzed using the same dictionary as in the other cases. The authors are grateful to Prof. Lev Gudkov, director of Levada Center, for his kind permission to reuse this data.

References

  1. Achkasova, Vera A., Zhuravleva, Nina N., Trefilova, Elena A., and Azarova, Liudmila V. (2019). Propaganda Content in Digital Space: Identification Markers. 2019 Communication Strategies in Digital Society Workshop (ComSDS), St. Petersburg, Russia, pp. 88–92.

  2. Alieva, Iuliia, Ng, Lynnette H. X., & Carley, Kathleen M. (2022, December). Investigating the Spread of Russian Disinformation about Biolabs in Ukraine on Twitter Using Social Network Analysis. In: 2022 IEEE International Conference on Big Data (Big Data) (pp. 1770–1775). IEEE.

  3. Alonso-Muñoz, L., Tirado-García, A., & Casero-Ripollés, A. (2022). Telegram in campaign: The use of mobile instant messaging services in electoral political communication. Communication & Society, 35(4), 71–88.

    Article  Google Scholar 

  4. Althaus, S. L. (2003). When news norms collide, follow the lead: new evidence for press independence. Political Communication, 20(4), 381–414.

    Article  Google Scholar 

  5. Alvarez, G., Choi, J., & Strover, S. (2020). Good news, bad news: a sentiment analysis of the 2016 election Russian facebook ads. International Journal of Communication, 14, 3027–3053.

    Google Scholar 

  6. Al-Rawi, A. (2022). News loopholing: Telegram news as portable alternative media. Journal of Computational Social Science, 5(1), 949–968.

    Article  Google Scholar 

  7. Ameli, S. R., & Molaei, H. (2020). Election journalism: investigating media bias on telegram during the 2017 presidential election in Iran. Digital Journalism, 8(8), 975–991.

    Article  Google Scholar 

  8. Amirov, V. A. (2021). Osobennosti funktsionirovaniia onomasticheskikh edinits v militaronom diskurse vooruzhennogo konflikta na vostoke Ukrainy [Functional Features of Onomastic Units in the Military Discourse of the Donbass Conflict]. Voprosy onomastiki, 18(1), 237–250 (in Russian).

    Google Scholar 

  9. Anglano, C., Canonico, M., & Guazzone, M. (2017). Forensic analysis of telegram messenger on android smartphones. Digital Investigation, 23(December), 31–49.

    Article  Google Scholar 

  10. Badawy, A., & Ferrara, E. (2018). The rise of jihadist propaganda on social networks. Journal of Computational Social Science, 1, 453–470.

    Article  Google Scholar 

  11. Badawy, A., Addawood, A., Lerman, K., & Ferrara, E. (2019). Characterizing the 2016 Russian IRA influence campaign. Characterizing the 2016 Russian IRA influence campaign. Social Network Analysis and Mining, 9, 31.

    Article  Google Scholar 

  12. Barthel, M., & Bürkner, H.-J. (2020). Ukraine and the big moral divide: what biased media coverage means to East European borders. Geopolitics, 25(3), 633–657.

    Article  Google Scholar 

  13. Bastos, M., & Farkas, J. (2019). “Donald Trump Is My President!”: The internet research agency propaganda machine. Social Media Society, 5(3), 1–13.

    Google Scholar 

  14. Bovet, A., & Grindrod, P. (2022). Organization and evolution of the UK far-right network on Telegram. Applied Network Science, 7, 76.

    Article  Google Scholar 

  15. Bronnikov, I., & Gorbachev, M. (2022). From telegram channel to square and back again: digital technology in belarusian protests. Journal of Law and Political Science, 30(1), 383–403.

    Google Scholar 

  16. Chapman, K., & Eichler, M. (2014). Engendering two solitudes? Media representations of women in combat in Quebec and the rest of Canada. International Journal, 69(4), 594–611.

    Google Scholar 

  17. Chew, P., Fort, M., & Chew, J. (2023). Digital disinformation: computational analysis of culture and conspiracy theories in Russia and Eastern Europe. Cham: Springer Nature Switzerland.

    Book  Google Scholar 

  18. Dickinson, J. (2014). Prosymo maksymal’nyi perepost! Tactical and discursive uses of social media in Ukraine’s Euromaidan. Ab Imperio, 3, 75–93.

    Article  Google Scholar 

  19. Diermeier, D., Godbout, J.-F., Yu, B., & Kaufmann, S. (2011). Language and Ideology in Congress. British Journal of Political Science, 42(1), 31–55.

    Article  Google Scholar 

  20. Doroshenko, L., & Lukito, J. (2021). Trollfare: Russia’s disinformation campaign during military conflict in Ukraine. International Journal of Communication, 15, 4662–4689.

    Google Scholar 

  21. Egbert, F. (2022). “Ukraine commits genocide on Russians”: The term “genocide” in Russian propaganda. Russian Linguistics, 46(3), 313–347.

    Article  Google Scholar 

  22. Fernández-Álvarez, P., & Rodríguez, R. J. (2022). Extraction and analysis of retrievable memory artifacts from Windows Telegram Desktop application. Forensic Science International: Digital Investigation, 40(Supplement), 301342.

    Google Scholar 

  23. Ghasiya, Piyush, & Sasahara, Kazutoshi (2023). Messaging Strategies of Ukraine and Russia on Telegram during the 2022 Russian invasion of Ukraine. First Monday.

  24. Golovchenko, Y., Buntain, C., Eady, G., Brown, M. A., & Tucker, J. A. (2020). Cross-platform state propaganda: russian trolls on twitter and youtube during the 2016 U.S. Presidential Election. The International Journal of Press/Politics, 25(3), 357–389.

    Article  Google Scholar 

  25. Goss, B. M. (2023). Shield and sword: Discursive Kevlar and National Review’s discourses on the first Trump impeachment (2019–2020). Atlantic Journal of Communication, 31(2), 97–114.

    Article  Google Scholar 

  26. Grek, I. (2023). The grassroots of Putin’s ideology: Civil origins of an uncivil regime. East European Politics Online first. https://doi.org/10.1080/21599165.2023.2164849.

    Article  Google Scholar 

  27. Hart, R. P. (Ed.). (2014). Communication and Language Analysis in the Public Sphere. Hershey, PA: IGI Global.

    Google Scholar 

  28. Heemsbergen, L. J., & Lindgren, S. (2014). The power of precision air strikes and social media feeds in the 2012 Israel-Hamas conflict: “targeting transparency.” Australian Journal of International Affairs, 68(5), 569–591.

    Article  Google Scholar 

  29. Hogenraad, R. L., & Garagozov, R. R. (2014). Textual fingerprints of risk of war. Literary and Linguistic Computing, 29(1), 41–55.

    Article  Google Scholar 

  30. Jurafsky, D., & Martin, J. H. (2008). Speech and Language Processing: An introduction to natural language processing, computational linguistics, and speech recognition (2nd ed.). Pearson.

    Google Scholar 

  31. Knightley, P. (2003). The First Casualty: The War Correspondent as Hero, Propagandist, and Myth-maker from the Crimea to the Gulf War II. London: André Deutsch.

    Google Scholar 

  32. Koltsova, E. (2000). Change in the coverage of the chechen wars: reasons and consequences. Javnost - The Public, 7(3), 39–54.

    Article  Google Scholar 

  33. Kordan, B. (2022). Russia’s war against Ukraine: historical narratives, geopolitics, and peace. Canadian Slavonic Papers, 64(2–3), 162–172.

    Article  Google Scholar 

  34. Kovalchuk, L., & Litkovych, Y. (2022). Psycholinguistic aspects of representing aggression in wartime media discourse. East European Journal of Psycholinguistics, 9(2), 67–81.

    Article  Google Scholar 

  35. Kreft, J., Boguszewicz-Kreft, M., & Hliebova, D. (2023). Under the fire of disinformation: attitudes towards fake news in the Ukrainian Frozen War. Journalism Practice Online first. https://doi.org/10.1080/17512786.2023.2168209.

    Article  Google Scholar 

  36. Kruglova, L. A., & Bolotova, E. A. (2020). Kontent radiostantsii Business FM, Vesti FM i Kommersant FM v sotsial’nykh media [Content of the Business FM, Vesti FM, and Kommersant FM Radio Stations in Social Media]. Vestnik Moskovskogo universiteta. Seriya 10. Zhurnalistika, 3, 56–78 (in Russian).

    Google Scholar 

  37. Kyiv International Institute of Sociology. (2022). Demokratiia, prava i svobody gromadian ta mediaspozhivanniia v umovakh vijny [Democracy, rights, and freedoms of citizens and media consumption in war conditions]. August 17. https://www.kiis.com.ua/?lang=ukr&cat=reports&id=1132 (in Ukrainian).

  38. Lasswell, H. D., & Leites, N. (1949). Language of politics: Studies in quantitative semantics. George W. Stewart.

    Google Scholar 

  39. Leber, A., & Abrahams, A. (2019). A storm of tweets: social media manipulation during the Gulf Crisis. Review of Middle East Studies, 53(2), 241–258.

    Article  Google Scholar 

  40. Lebid, A. E., Vashyst, K. M., & Nazarov, M. S. (2022). Information resilience as a means of countering the socio-psychological strategies of information wars. International Journal of Media and Information Literacy, 7(1), 157–166.

    Google Scholar 

  41. Levada-Center. (2023). Conflict with Ukraine: Assessments for February 2023. March 13. https://www.levada.ru/en/2023/03/13/conflict-with-ukraine-assessments-for-february-2023/.

  42. Lind, F., Eberl, J.-M., Eisele, O., Heidenreich, T., Galyga, S., & Boomgaarden, H. G. (2022). Building the bridge: topic modeling for comparative research. Communication Methods and Measures, 16(2), 96–114.

    Article  Google Scholar 

  43. Loadenthal, M. (2022). Feral fascists and deep green guerrillas: Infrastructural attack and accelerationist terror. Critical Studies on Terrorism, 15(1), 169–208.

    Article  Google Scholar 

  44. Lukin, A. (2013). The meanings of “war”: from lexis to context. Journal of Language and Politics, 12(3), 424–444.

    Article  Google Scholar 

  45. Makhortykh, M., & Bastian, M. (2020). Personalizing the war: perspectives for the adoption of news recommendation algorithms in the media coverage of the conflict in Eastern Ukraine. Media, War & Conflict, 15(1), 25–45.

    Article  Google Scholar 

  46. Meza, Radu, Vincze, Hanna-Orsolya, and Mogoş, Andreea. (2018). Targets of Online Hate Speech in Context. A Comparative Digital Social Science Analysis of Comments on Public Facebook Pages from Romania and Hungary. Intersections: East European Journal of Society and Politics 4(4): 26–50.

  47. Mölder, M., & Berg, E. (2023). Conflicts and Shifts in the Kremlin’s Political Discourse since the Start of the Putin Presidency (2000–2019). Europe-Asia Studies, 75(4), 564–582.

    Article  Google Scholar 

  48. Nazaruk, T. (2022). Subscribe and follow: telegram and responsive archiving the war in Ukraine. Sociologica, 16(2), 217–226.

    Google Scholar 

  49. Ng, L. H. X., & Loke, J. Y. (2020). Analyzing public opinion and misinformation in a covid-19 telegram group chat. IEEE Internet Computing, 25(2), 84–91.

    Article  Google Scholar 

  50. Nygren, G., Glowacki, M., Hök, J., Kiria, I., Orlova, D., & Taradai, D. (2018). Journalism in the crossfire: media coverage of the war in Ukraine in 2014. Journalism Studies, 19(7), 1059–1078.

    Article  Google Scholar 

  51. Ptaszek, G., Yuskiv, B., & Khomych, S. (2023). War on frames: text mining of conflict in Russian and Ukrainian news agency coverage on telegram during the Russian invasion of Ukraine in 2022. Media, War & Conflict Online first. https://doi.org/10.1177/17506352231166327.

    Article  Google Scholar 

  52. Ravi, K., & Ravi, V. (2015). A survey on opinion mining and sentiment analysis: tasks, approaches and applications. Knowledge-Based Systems, 89, 14–46.

    Article  Google Scholar 

  53. Rodgers, J., & Lanoszka, A. (2021). Russia’s rising military and communication power: from chechnya to crimea. Media, War & Conflict Online first. https://doi.org/10.1177/17506352211027084.

    Article  Google Scholar 

  54. Savoy, J. (2016). Text representation strategies: an example with the state of the union addresses. Journal of the Association for Information Science and Technology, 67(8), 1858–1870.

    Article  Google Scholar 

  55. Shlapentokh, V. E. (1984). Moscow’s War Propaganda and soviet public opinion. Problems of Communism, 33(5), 88–94.

    Google Scholar 

  56. Shuvalova, Iryna. (2022). “Moskal’s,” “Separs,” and “Vatniks”: The Many Faces of the Enemy in the Ukrainian Satirical Songs of the War in the Donbas. East/West: Journal of Ukrainian Studies 9(1): 177–200.

  57. Sopilko, I., Svintsytskyi, A., Krasovska, Y., Padalka, A., & Lyseiuk, A. (2022). Information wars as a threat to the information security of Ukraine. Conflict Resolution Quarterly, 39(3), 333–347.

    Article  Google Scholar 

  58. Soroka, S., & Wlezien, C. (2022). Information and Democracy: Public Policy in the News. Cambridge University Press.

    Book  Google Scholar 

  59. Tal, Diana and Gordon, Avishag (2016). Jacques Ellul Revisited: 55 Years of Propaganda Study. Society 53(2): 182–187.

  60. Taylor, Philip M. (2003 [1990]). Munitions of the Mind: A history of propaganda from the ancient world to the present era. Manchester: Manchester University Press.

  61. Urman, A., Ho, C.-T., & Katz, S. (2021). Analyzing protest mobilization on telegram: the case of 2019 anti-extradition bill movement in Hong Kong. PLoS ONE, 16(10), e0256675.

    Article  Google Scholar 

  62. Warner, R. (2013). Applied statistics: From Bivariate Through Multivariate Techniques (2nd ed.). Sage.

    Google Scholar 

  63. Watanabe, K. (2017). Measuring news bias: Russia’s official news agency ITAR-TASS’ coverage of the Ukraine crisis. European Journal of Communication, 32(3), 224–241.

    Article  Google Scholar 

  64. Winter, C. (2020). Redefining “Propaganda”: The media strategy of the islamic state. The RUSI Journal, 165(1), 38–42.

    Article  Google Scholar 

  65. Woolley, S. C., & Howard, P. N. (2018). Computational Propaganda: Political Parties, Politicians, and Political Manipulation on Social Media. Oxford University Press.

    Book  Google Scholar 

  66. World Bank. (2023). World Development Indicators. https://datatopics.worldbank.org/world-development-indicators/.

  67. Xu, W. W., & Wang, R. (2022). Nationalizing truth: digital practices and influences of state-affiliated media in a time of global pandemic and geopolitical decoupling. International Journal of Communication, 16, 356–384.

    Google Scholar 

  68. Zaller, John and Chiu, Dennis. (1996). Government’s little helper: U.S. press coverage of foreign policy crises, 1945–1991. Political Communication 13(4): 385–405.

  69. Zhang, M. M., Wang, X., & Hu, Y. (2023). Strategic framing matters but varies: a structural topic modeling approach to analyzing China’s Foreign Propaganda About the 2019 Hong Kong protests on twitter. Social Science Computer Review, 41(1), 265–285.

    Article  Google Scholar 

  70. Zittrain, J. (2017). Netwar”: The unwelcome militarization of the internet has arrived. Bulletin of the Atomic Scientists, 73(5), 300–304.

    Article  Google Scholar 

  71. Zuykina, Kristina L. and Sokolova, Daria V. (2022). Pandemiia KOVID-19 kak mediasobytoe: Osobennosti konstruirovaniia v sotsial’ykh media [COVID-19 pandemic as a media event: The specifics of construction in social media]. Vestnik Tomskogo gosudarstvennogo universiteta. Filologiya – Tomsk State University Journal of Philology 77: 222–240 (In Russian).

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The author is grateful to two Journal of Computational Social Science reviewers for their comments and helpful suggestions.

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Oleinik, A. Telegram channels covering Russia’s invasion of Ukraine: a comparative analysis of large multilingual corpora. J Comput Soc Sc (2024). https://doi.org/10.1007/s42001-023-00240-9

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