Organization and evolution of the UK far-right network on Telegram
Tóm tắt
The instant messaging platform Telegram has become popular among the far-right movements in the US and UK in recent years. These groups use public Telegram channels and group chats to disseminate hate speech, disinformation, and conspiracy theories. Recent works revealed that the far-right Telegram network structure is decentralized and formed of several communities divided mostly along ideological and national lines. Here, we investigated the UK far-right network on Telegram and are interested in understanding the different roles of different channels and their influence relations. We apply a community detection method, based on the clustering of a flow of random walkers, that allows us to uncover the organization of the Telegram network in communities with different roles. We find three types of communities: (1) upstream communities contain mostly group chats that comment on content from channels in the rest of the network; (2) core communities contain broadcast channels tightly connected to each other and can be seen as forming echo chambers; (3) downstream communities contain popular channels that are highly referenced by other channels. We find that the network is composed of two main sub-networks: one containing mainly channels related to the English-speaking far-right movements and one with channels in Russian. We analyze the dynamics of the different communities and the most shared external links in the different types of communities over a period going from 2015 to 2020. We find that different types of communities have different dynamics and share links to different types of websites. We finish by discussing several directions for further work.
Tài liệu tham khảo
Baele SJ, Brace L, Coan TG (2021) Variations on a theme? Comparing 4chan, 8kun, and other chans’ far-right “/pol’’ boards. Perspect Terror 15(1):65–80
Baumgartner J, Zannettou S, Squire M, Blackburn J (2020) The Pushshift Telegram Dataset. In: Proceedings of the international AAAI conference on web and social media, vol 14, no 1, pp 840–847. arXiv:2001.08438
Benkler Y, Faris R, Roberts H (2018) Network propaganda: manipulation, disinformation, and radicalization in American politics. Oxford University Press, Oxford
Bovet A, Delvenne J-C, Lambiotte R (2022) Flow stability for dynamic community detection. Sci Adv 8(19):3063. https://doi.org/10.1126/sciadv.abj3063
Bovet A, Makse HA (2021) Centralities in complex networks. In: Meyers RA (ed) Encyclopedia of complexity and systems science. Springer, Berlin, pp 1–11. arXiv:2105.01931
Chong M (2019) Discovering fake news embedded in the opposing hashtag activism networks on twitter:# gunreformnow vs.# nra. Open Inf Sci 3(1):137–153
Cinelli M, De Francisci Morales G, Galeazzi A, Quattrociocchi W, Starnini M (2021) The echo chamber effect on social media. Proc Natl Acad Sci 118(9):2023301118. https://doi.org/10.1073/pnas.2023301118
Cota W, Ferreira SC, Pastor-Satorras R, Starnini M (2019) Quantifying echo chamber effects in information spreading over political communication networks. EPJ Data Sci 8(1):1–13
Delvenne J-C, Yaliraki SN, Barahona M (2010) Stability of graph communities across time scales. Proc Natl Acad Sci 107(29):12755–12760. https://doi.org/10.1073/pnas.0903215107. arXiv:0812.1811. ISBN: 0027-8424
Elliott A, Chiu A, Bazzi M, Reinert G, Cucuringu M (2020) Core-periphery structure in directed networks. Proc R Soc A Math Phys Eng Sci 476(2241):20190783. https://doi.org/10.1098/rspa.2019.0783
Freelon D, Marwick A, Kreiss D (2020) False equivalencies: online activism from left to right. Science 369(6508):1197–1201. https://doi.org/10.1126/science.abb2428
Garimella K, De Francisci Morales G, Gionis A, Mathioudakis M (2018) Political discourse on social media: echo chambers, gatekeepers, and the price of bipartisanship. In: Proceedings of the 2018 World Wide Web Conference, pp 913–922
Garrett RK (2009) Echo chambers online? Politically motivated selective exposure among internet news users. J Comput Mediat Commun 14(2):265–285
Hine GE, Onaolapo J, De Cristofaro E, Kourtellis N, Leontiadis I, Samaras R, Stringhini G, Blackburn J (2017) Kek, cucks, and god emperor trump: a measurement study of 4chan’s politically incorrect forum and its effects on the web. In: Eleventh international AAAI conference on web and social media
Hoseini M, Melo P, Benevenuto F, Feldmann A, Zannettou S (2021) On the globalization of the QAnon conspiracy theory through Telegram. arXiv preprint arXiv:2105.13020
Ižak Š (2019) Using the topic of migration by pro-kremlin propaganda: case study of Slovakia. J Comp Polit 12(1):53–70
Jamieson KH, Cappella JN (2008) Echo chamber: Rush Limbaugh and the conservative media establishment. Oxford University Press, Oxford
Kaiser J, Rauchfleisch A, Bourassa N (2020) Connecting the (far-) right dots: a topic modeling and hyperlink analysis of (far-) right media coverage during the US elections 2016. Digit Journalism 8(3):422–441
Karlsen GH (2016) Tools of Russian influence: information and propaganda. In: Ukraine and Beyond. Palgrave Macmillan, Cham, pp 181–208
Katz L (1953) A new status index derived from sociometric analysis. Psychometrika 18(1):39–43. https://doi.org/10.1007/BF02289026. ISBN: 0033-3123
Knuutila A, Herasimenka A, Bright J, Nielsen R, Howard PN (2020) Junk news distribution on Telegram: the visibility of English-language news sources on public Telegram Channels. Technical Report 2020.5
Lambiotte R, Delvenne J-C, Barahona M (2014) Random walks, Markov processes and the multiscale modular organization of complex networks. IEEE Trans Netw Sci Eng 1(2):76–90. https://doi.org/10.1109/TNSE.2015.2391998. arXiv:1502.04381v1. ISBN: 2327-4697
Merrin W (2019) President troll: Trump, 4chan and memetic warfare. In: Trump’s Media War. Springer, pp 201–226
Prucha N (2016) IS and the Jihadist information highway-projecting influence and religious identity via Telegram. Perspect Terror 10(6):48–58
Rogers R (2020) Deplatforming: following extreme Internet celebrities to Telegram and alternative social media. Eur J Commun 35(3):213–229. https://doi.org/10.1177/0267323120922066
Trujillo M, Gruppi M, Buntain C, Horne BD (2020) What is BitChute? Characterizing the. In: Proceedings of the 31st ACM conference on hypertext and social media. ACM, Virtual Event USA, pp 139–140. https://doi.org/10.1145/3372923.3404833. Accessed 2022-06-03
Urman A, Katz S (2022) What they do in the shadows: examining the far-right networks on Telegram. Inf Commun Soc 25(7):904–923. https://doi.org/10.1080/1369118X.2020.1803946
Walther S, McCoy A (2021) US extremism on Telegram: fueling disinformation, conspiracy theories, and accelerationism. Perspect Terror 15(2):100–124
Webber W, Moffat A, Zobel J (2010) A similarity measure for indefinite rankings. ACM Trans Inf Syst 28(4):1–38. https://doi.org/10.1145/1852102.1852106
Yin L (2018) SMAPPNYU/urlExpander: initial release. https://doi.org/10.5281/zenodo.1345144