Discovery, Articulation and Analysis of Communication Framings

Rakshitha Rao Ailneni, Sanda M. Harabagiu


Abstract
In social media discourse, the framing of a topic dictates the way opinions are formed. This paper presents two multi-agent frameworks: one for discovering what issues are framed in a topic, and another articulating interpretations of these issues. This enables an analysis of a topic’s discourse that reveals what frame issues are dominant while also providing insights about which issues have more possible interpretations. Experiments across four different topics show promising results for discovering and analyzing framings, allowing new comprehension of controversial topics.
Anthology ID:
2026.findings-emnlp.2204
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2026
Month:
October
Year:
2026
Address:
Budapest, Hungary
Editors:
Hung-Yi Lee, Sunipa Dev, Jessy Li, Desmond Elliott
Venue:
Findings
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
47198–47242
Language:
URL:
https://aclanthology.org/2026.findings-emnlp.2204/
DOI:
10.18653/2026.findings-emnlp.2204
Bibkey:
Cite (ACL):
Rakshitha Rao Ailneni and Sanda M. Harabagiu. 2026. Discovery, Articulation and Analysis of Communication Framings. In Findings of the Association for Computational Linguistics: EMNLP 2026, pages 47198–47242, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
Discovery, Articulation and Analysis of Communication Framings (Ailneni & Harabagiu, Findings 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.findings-emnlp.2204.pdf