Patterns of partisan toxicity and engagement reveal the common structure of online political communication across countries
Falkenberg, M. ORCID: 0000-0002-2986-2494, Zollo, F. ORCID: 0000-0002-0833-5388, Quattrociocchi, W. ORCID: 0000-0002-4374-9324 , Pfeffer, J. ORCID: 0000-0002-1677-150X & Baronchelli, A. ORCID: 0000-0002-0255-0829 (2024). Patterns of partisan toxicity and engagement reveal the common structure of online political communication across countries. Nature Communications, 15(1), article number 9560. doi: 10.1038/s41467-024-53868-0
Abstract
Existing studies of political polarization are often limited to a single country and one form of polarization, hindering a comprehensive understanding of the phenomenon. Here we investigate patterns of polarization online across nine countries (Canada, France, Germany, Italy, Poland, Spain, Turkey, UK, USA), focusing on the structure of political interaction networks, the use of toxic language targeting out-groups, and how these factors relate to user engagement. First, we show that political interaction networks are structurally polarized on Twitter (currently X). Second, we reveal that out-group interactions, defined by the network, are more toxic than in-group interactions, indicative of affective polarization. Third, we show that out-group interactions receive lower engagement than in-group interactions. Finally, we identify a common ally-enemy structure in political interactions, show that political mentions are more toxic than apolitical mentions, and highlight that interactions between politically engaged accounts are limited and rarely reciprocated. These results hold across countries and represent a step towards a stronger cross-country understanding of polarization.
Publication Type: | Article |
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Subjects: | H Social Sciences > HN Social history and conditions. Social problems. Social reform J Political Science > JA Political science (General) J Political Science > JZ International relations Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Departments: | School of Science & Technology School of Science & Technology > Mathematics |
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Available under License Creative Commons Attribution Non-commercial No Derivatives.
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