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How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter

Previous research dedicated a lot of effort to investigation of the activities of the Internet Research Agency, a Russia-based troll factory, as well as other information operations. However, those studies are mostly focused on the 2016 U.S. presidential election, Brexit, and other major internation...

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Detalles Bibliográficos
Autores principales: Alieva, Iuliia, Moffitt, J. D., Carley, Kathleen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281276/
https://www.ncbi.nlm.nih.gov/pubmed/35855844
http://dx.doi.org/10.1007/s13278-022-00908-6
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author Alieva, Iuliia
Moffitt, J. D.
Carley, Kathleen M.
author_facet Alieva, Iuliia
Moffitt, J. D.
Carley, Kathleen M.
author_sort Alieva, Iuliia
collection PubMed
description Previous research dedicated a lot of effort to investigation of the activities of the Internet Research Agency, a Russia-based troll factory, as well as other information operations. However, those studies are mostly focused on the 2016 U.S. presidential election, Brexit, and other major international political events. In this study, we have attempted to analyze how narratives about a domestic issue in Russia are used by malicious actors to promote harmful discourses globally and persuade an international audience on Twitter. We have identified bot and troll activities related to the Twitter discussions of a Russian opposition leader Alexei Navalny using social network analysis and bot detection. We have also implemented the BEND framework to find persuasion maneuvers that are used by bots in conversations about Navalny and found attempts to manipulate the opinion of the international audience on Twitter. Our findings have demonstrated that there is a significant presence of bot activities in information operations against Alexei Navalny as one of the leaders of the Russian opposition. We have observed how the Russian domestic issue is framed in the context of Russian confrontation with the West and how it is used to promote hostile narratives either against Navalny, an opposition movement, or democratic values. Many agents that we have identified pretend to be English speakers, who exhibit hostile attitudes towards Navalny and the Western democracies, express skepticism and distort the facts, promote a lack of trust in the democratic institutions as well as spread disinformation and conspiracy theories.
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spelling pubmed-92812762022-07-14 How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter Alieva, Iuliia Moffitt, J. D. Carley, Kathleen M. Soc Netw Anal Min Original Article Previous research dedicated a lot of effort to investigation of the activities of the Internet Research Agency, a Russia-based troll factory, as well as other information operations. However, those studies are mostly focused on the 2016 U.S. presidential election, Brexit, and other major international political events. In this study, we have attempted to analyze how narratives about a domestic issue in Russia are used by malicious actors to promote harmful discourses globally and persuade an international audience on Twitter. We have identified bot and troll activities related to the Twitter discussions of a Russian opposition leader Alexei Navalny using social network analysis and bot detection. We have also implemented the BEND framework to find persuasion maneuvers that are used by bots in conversations about Navalny and found attempts to manipulate the opinion of the international audience on Twitter. Our findings have demonstrated that there is a significant presence of bot activities in information operations against Alexei Navalny as one of the leaders of the Russian opposition. We have observed how the Russian domestic issue is framed in the context of Russian confrontation with the West and how it is used to promote hostile narratives either against Navalny, an opposition movement, or democratic values. Many agents that we have identified pretend to be English speakers, who exhibit hostile attitudes towards Navalny and the Western democracies, express skepticism and distort the facts, promote a lack of trust in the democratic institutions as well as spread disinformation and conspiracy theories. Springer Vienna 2022-07-14 2022 /pmc/articles/PMC9281276/ /pubmed/35855844 http://dx.doi.org/10.1007/s13278-022-00908-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Alieva, Iuliia
Moffitt, J. D.
Carley, Kathleen M.
How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter
title How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter
title_full How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter
title_fullStr How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter
title_full_unstemmed How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter
title_short How disinformation operations against Russian opposition leader Alexei Navalny influence the international audience on Twitter
title_sort how disinformation operations against russian opposition leader alexei navalny influence the international audience on twitter
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281276/
https://www.ncbi.nlm.nih.gov/pubmed/35855844
http://dx.doi.org/10.1007/s13278-022-00908-6
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