Corpora for Polarisation Issues in Social Media

With the use of computational methods, our corpora allows an investigation of recurring patterns in polarising exchanges across topics of discussion and media platforms, and conduct both quantitative and qualitative analyses of language structures leading to and engaged in polarisation. For further details see our paper: Ewelina Gajewska, Katarzyna Budzynska, Barbara Konat, Marcin Koszowy, Konrad Kiljan, Maciej Uberna, He Zhang (2024) Ethos and Pathos in Online Group Discussions: Corpora for Polarisation Issues in Social Media., arXiv preprint, arXiv:2404.04889, DOI 10.48550/arXiv.2404.04889. The work reported in this paper was supported in part by CHIST-ERA under grant 2022/04/Y/ST6/00001, in part by the Polish National Science Centre (NCN) under grant 2020/39/I/HS1/02861, in part by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 860621, and in part by VW foundation (VolkswagenStiftung) under grant 98 542.

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2024-10-01
DOI
https://doi.org/10.17605/osf.io/xjbaw
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.00
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article

Corpora for Polarisation Issues in Social Media

OSF Preprints (OSF Preprints)
Social Media and Politics
article

Corpora for Polarisation Issues in Social Media

article en

Abstract

With the use of computational methods, our corpora allows an investigation of recurring patterns in polarising exchanges across topics of discussion and media platforms, and conduct both quantitative and qualitative analyses of language structures leading to and engaged in polarisation. For further details see our paper: Ewelina Gajewska, Katarzyna Budzynska, Barbara Konat, Marcin Koszowy, Konrad Kiljan, Maciej Uberna, He Zhang (2024) Ethos and Pathos in Online Group Discussions: Corpora for Polarisation Issues in Social Media., arXiv preprint, arXiv:2404.04889, DOI 10.48550/arXiv.2404.04889. The work reported in this paper was supported in part by CHIST-ERA under grant 2022/04/Y/ST6/00001, in part by the Polish National Science Centre (NCN) under grant 2020/39/I/HS1/02861, in part by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 860621, and in part by VW foundation (VolkswagenStiftung) under grant 98 542.

OSF Preprints (OSF Preprints)
Openalex Percentile: Top 48%
Social Media and Politics
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