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Measuring narrative polarization in online discourse

Elfes, J. ORCID: 0000-0001-8185-0012, Bastos, M. ORCID: 0000-0003-0480-1078 & Aiello, L. M. ORCID: 0000-0002-0654-2527 (2026). Measuring narrative polarization in online discourse. PNAS Nexus, doi: 10.1093/pnasnexus/pgag270

Abstract

Polarization research has demonstrated how people cluster in homogeneous groups with opposing opinions. However, this effect emerges not only through interaction between people, limiting communication between groups, but also between narratives, shaping opinions and partisan identities. Yet, how polarized information environments portray opposing interpretations of reality, and whether narratives move between content environments despite limited interactions, remains unexplored. To address this gap, we formalize the concept of narrative polarization and demonstrate its measurement in 212 YouTube videos and 90,029 comments on the Israeli-Palestinian conflict. Based on structural narrative theory and implemented through a large language model, we extract the narrative roles assigned to central actors in two partisan information environments. We find that while videos produce highly polarized narratives, comments exhibit significantly lower levels of narrative polarization, converging on shared core narrative structures. However, recurring narrative motifs capturing more complex actor constellations reveal additional differences between partisan environments.

Publication Type: Article
Additional Information: © 2026, the authors. Published by Oxford University Press on behalf of National Academy of Sciences. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.
Publisher Keywords: polarization, narrative, computational methods, large language models
Subjects: H Social Sciences > HM Sociology
H Social Sciences > HN Social history and conditions. Social problems. Social reform
J Political Science
P Language and Literature
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Communication & Creativity
School of Communication & Creativity > Department of Media, Culture & Creative Industries
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