Cross-platform information spread during the January 6th capitol riots.

Coordinated information dissemination Natural language processing Parler Social media coordination Twitter

Journal

Social network analysis and mining
ISSN: 1869-5450
Titre abrégé: Soc Netw Anal Min
Pays: Germany
ID NLM: 101616226

Informations de publication

Date de publication:
2022
Historique:
received: 24 01 2022
revised: 12 07 2022
accepted: 15 07 2022
entrez: 15 9 2022
pubmed: 16 9 2022
medline: 16 9 2022
Statut: ppublish

Résumé

Social media has become an integral component of the modern information system. An average person typically has multiple accounts across different platforms. At the same time, the rise of social media facilitates the spread of online mis/disinformation narratives within and across these platforms. In this study, we characterize the coordinated information dissemination of information laden with mis- and disinformation narratives within and across two platforms, Parler and Twitter, during the online discourse surrounding the January 6th 2021 Capitol Riots event. Through the use of username similarity, we discover joint theme endorsements between both platforms. Using anomalously high volume of shared-link matches of external websites and YouTube videos, we discover separate information consumption habits between both platforms, with very few common sources of information between users of the different platforms. However, through analyzing the similarity of the texts with Locality Sensitive Hashing of constructed text vectors, we identify similar narratives between the platforms despite separate consumption of external websites, highlighting the similarities and differences of information spread within and between the two social media environments.

Identifiants

pubmed: 36105923
doi: 10.1007/s13278-022-00937-1
pii: 937
pmc: PMC9461432
doi:

Types de publication

Journal Article

Langues

eng

Pagination

133

Informations de copyright

© The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Déclaration de conflit d'intérêts

Conflict of interestAll authors declare that they have no conflict of interest.

Références

IEEE Internet Comput. 2020 Dec 11;25(2):84-91
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Auteurs

Lynnette Hui Xian Ng (LHX)

Center for Computational Analysis of Social and Organizational Systems, Carnegie Mellon University, 4665 Forbes Avenue, Pittsburgh, PA 15213 USA.

Iain J Cruickshank (IJ)

Center for Computational Analysis of Social and Organizational Systems, Carnegie Mellon University, 4665 Forbes Avenue, Pittsburgh, PA 15213 USA.

Kathleen M Carley (KM)

Center for Computational Analysis of Social and Organizational Systems, Carnegie Mellon University, 4665 Forbes Avenue, Pittsburgh, PA 15213 USA.

Classifications MeSH