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What’s All That Noise: Analysis and Detection of Propaganda on Twitter

Kellner, Ansgar; Wressnegger, Christian ORCID iD icon; Rieck, Konrad

Abstract:

For many, social networks have become the primary source of news, although the correctness of the provided information and its trustworthiness are often unclear. The investigations of the 2016 US presidential elections have brought the existence of external campaigns to light aiming at affecting the general political public opinion. In this paper, we investigate whether a similar influenceon political elections can be observed in Europe as well. To this end, we use the past German federal election as an indicator and inspect the propaganda on Twitter, based on data from a period of 268 days. We find that 79 trolls from the US campaign have also acted upon the German federal election spreading right-wing views. Moreover, we develop a detector for finding automated behavior that enables us to identify 2,414 previously unknown suspicious accounts.


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Originalveröffentlichung
DOI: 10.1145/3380786.3391399
Dimensions
Zitationen: 3
Zugehörige Institution(en) am KIT Institut für Theoretische Informatik (ITI)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 04.2020
Sprache Englisch
Identifikator ISBN: 978-1-4503-7523-8
KITopen-ID: 1000121296
Erschienen in 13th European Workshop on Systems Security (EuroSec) 27 April , 2020 — Heraklion, Crete, Greece, co-located with the European Conference on Computer Systems (EuroSys)
Veranstaltung 13th European Workshop on Systems Security co-located with the European Conference on Computer Systems (EuroSys) (EuroSec 2020), Iraklio, Griechenland, 27.04.2020
Verlag Association for Computing Machinery (ACM)
Seiten 25–30
Vorab online veröffentlicht am 27.04.2020
Schlagwörter Twitter, Trolls, Bots, Propaganda, German Federal Election
Nachgewiesen in Dimensions
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