Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election

Abstract The ongoing debate surrounding the impact of the Internet Research Agency’s (IRA) social media campaign during the 2016 U.S. presidential election has largely overshadowed the involvement of other actors. Our analysis brings to light a substantial group of suspended Twitter users, outnumber...

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Main Authors: Matteo Serafino, Zhenkun Zhou, José S. Andrade, Alexandre Bovet, Hernán A. Makse
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:EPJ Data Science
Subjects:
Online Access:https://doi.org/10.1140/epjds/s13688-024-00464-3
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author Matteo Serafino
Zhenkun Zhou
José S. Andrade
Alexandre Bovet
Hernán A. Makse
author_facet Matteo Serafino
Zhenkun Zhou
José S. Andrade
Alexandre Bovet
Hernán A. Makse
author_sort Matteo Serafino
collection DOAJ
description Abstract The ongoing debate surrounding the impact of the Internet Research Agency’s (IRA) social media campaign during the 2016 U.S. presidential election has largely overshadowed the involvement of other actors. Our analysis brings to light a substantial group of suspended Twitter users, outnumbering the IRA user group by a factor of 60, who align with the ideologies of the IRA campaign. Our study demonstrates that this group of suspended Twitter accounts significantly influenced individuals categorized as undecided or weak supporters, potentially with the aim of swaying their opinions, as indicated by Granger causality.
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spelling doaj.art-0a990f49ea7a4cd28c03e8ecb038f10b2024-04-14T11:10:08ZengSpringerOpenEPJ Data Science2193-11272024-04-0113111910.1140/epjds/s13688-024-00464-3Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US electionMatteo Serafino0Zhenkun Zhou1José S. Andrade2Alexandre Bovet3Hernán A. Makse4Levich Institute and Physics Departmen, City College of New YorkDepartment of Data Science, School of Statistics, Capital University of Economics and BusinessPhysics Department, Universidade Federal do CearáDepartment of Mathematical Modeling and Machine Learning, University of ZurichLevich Institute and Physics Departmen, City College of New YorkAbstract The ongoing debate surrounding the impact of the Internet Research Agency’s (IRA) social media campaign during the 2016 U.S. presidential election has largely overshadowed the involvement of other actors. Our analysis brings to light a substantial group of suspended Twitter users, outnumbering the IRA user group by a factor of 60, who align with the ideologies of the IRA campaign. Our study demonstrates that this group of suspended Twitter accounts significantly influenced individuals categorized as undecided or weak supporters, potentially with the aim of swaying their opinions, as indicated by Granger causality.https://doi.org/10.1140/epjds/s13688-024-00464-3Social networkDisinformationElectionRussian trolls
spellingShingle Matteo Serafino
Zhenkun Zhou
José S. Andrade
Alexandre Bovet
Hernán A. Makse
Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election
EPJ Data Science
Social network
Disinformation
Election
Russian trolls
title Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election
title_full Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election
title_fullStr Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election
title_full_unstemmed Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election
title_short Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election
title_sort suspended accounts align with the internet research agency misinformation campaign to influence the 2016 us election
topic Social network
Disinformation
Election
Russian trolls
url https://doi.org/10.1140/epjds/s13688-024-00464-3
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