Publikacja:

Characteristics of two polarized groups in online social networks’ controversial discourse

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cris.legacyid7501
dc.abstract.plIn today’s interconnected world, online social networks play a pivotal role in facilitating global communication. These platforms often host discussions on contentious topics such as climate change, vaccines, and war, leading to the formation of two distinct groups: deniers and believers. Understanding the characteristics of these groups is crucial for predicting information flow and managing the diffusion of information. Moreover, such understanding can enhance machine learning algorithms designed to automatically detect these groups, thereby contributing to the development of strategies to curb the spread of disinformation, including fake news and rumors. In this study, we employ social network analysis measures to extract the characteristics of these groups, conducting experiments on three large-scale datasets of over 22 million tweets. Our findings indicate that, based on network science measures, the denier (anti) group exhibits greater coherence than the believer (pro) group.
dc.contributor.affiliationKozminski University
dc.contributor.affiliationKozminski University
dc.contributor.affiliationKozminski University, Massachusetts Institute of Technology, Cambridge, MA
dc.contributor.authorAmin Mahmoudi
dc.contributor.authorDariusz Jemielniak
dc.contributor.authorLeon Ciechanowski
dc.date.accessioned2025-07-25T16:54:29Z
dc.date.available2025-07-25T16:54:29Z
dc.date.issued0
dc.date.published2025
dc.identifier.doi10.1007/s42001-024-00350-y
dc.identifier.urihttps://repozytorium.kozminski.edu.pl/handle/item/3373
dc.languageen
dc.rightsCC-BY-4.0
dc.subjectsocial network analysis
dc.subjectmisinformation
dc.subjectecho chambers
dc.subjectnetwork measures
dc.title

Characteristics of two polarized groups in online social networks’ controversial discourse

dc.typeArticle
dspace.entity.typePublication