Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30802
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dc.contributor.authorSalamanos, Nikos-
dc.contributor.authorJensen, Michael J.-
dc.contributor.authorIordanou, Costas-
dc.contributor.authorSirivianos, Michael-
dc.date.accessioned2023-11-15T11:23:26Z-
dc.date.available2023-11-15T11:23:26Z-
dc.date.issued2023-08-14-
dc.identifier.citationSecurity and Privacy in Social Networks and Big Data - 9th International Symposium, SocialSec 2023, Proceedings,Canterbury, United Kingdom, 14 - 16 August 2023en_US
dc.identifier.isbn9789819951765-
dc.identifier.issn03029743-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/30802-
dc.description.abstractIt is a widely accepted fact that state-sponsored Twitter accounts operated during the 2016 US presidential election, spreading millions of tweets with misinformation and inflammatory political content. Whether these social media campaigns of the so-called “troll” accounts were able to manipulate public opinion is still in question. Here, we quantify the influence of troll accounts on Twitter by analyzing 152.5 million tweets (by 9.9 million users) from that period. The data contain original tweets from 822 troll accounts identified as such by Twitter. We construct and analyze a very large interaction graph of 9.3 million nodes and 169.9 million edges using graph analysis techniques and a game-theoretic centrality measure. Then, we quantify the influence of all Twitter accounts on the overall information exchange as defined by the retweet cascades. We provide a global influence ranking of all Twitter accounts, and we find that one troll account appears in the top-100 and four in the top-1000. This, combined with other findings presented in this paper, constitute evidence that the driving force of virality and influence in the network came from regular users - users who have not been classified as trolls by Twitter. On the other hand, we find that, on average, troll accounts were tens of times more influential than regular users were. Moreover, 23% and 22% of regular accounts in the top-100 and top-1000, respectively, have now been suspended by Twitter. This raises questions about their authenticity and practices during the 2016 US presidential election.en_US
dc.language.isoenen_US
dc.rights© The Author(s)en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDisinformationen_US
dc.subjectInformation Diffusionen_US
dc.subjectPolitical Trollsen_US
dc.subjectTwitter Trollsen_US
dc.titleDid State-Sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitteren_US
dc.typeConference Posteren_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Canberraen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryCyprusen_US
dc.countryAustraliaen_US
dc.subject.fieldEngineering and Technologyen_US
dc.relation.conferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.identifier.doi10.1007/978-981-99-5177-2_4en_US
dc.identifier.scopus2-s2.0-85172225013-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85172225013-
dc.relation.volume14097 LNCSen_US
cut.common.academicyear2022-2023en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeConference Poster-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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