Multi-label and multilingual news framing analysis

Afra Feyza Akyürek, Lei Guo, Randa Elanwar, Prakash Ishwar, Margrit Betke, Derry T. Wijaya

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

34 Citations (Scopus)

Abstract

News framing refers to the practice in which aspects of specific issues are highlighted in the news to promote a particular interpretation. In NLP, although recent works have studied framing in English news, few have studied how the analysis can be extended to other languages and in a multi-label setting. In this work, we explore multilingual transfer learning to detect multiple frames from just the news headline in a genuinely low-resource context where there are few/no frame annotations in the target language. We propose a novel method that can leverage elementary resources consisting of a dictionary and few annotations to detect frames in the target language. Our method performs comparably or better than translating the entire target language headline to the source language for which we have annotated data. This work opens up an exciting new capability of scaling up frame analysis to many languages, even those without existing translation technologies. Lastly, we apply our method to detect frames on the issue of U.S. gun violence in multiple languages and obtain exciting insights on the relationship between different frames of the same problem across different countries with different languages.

Original languageEnglish
Title of host publicationThe 58th Annual Meeting of the Association for Computational Linguistics - Proceedings of the Conference
EditorsSteven Bethard, Ryan Cotterell, Rui Yan
Place of PublicationStroudsburg PA USA
PublisherAssociation for Computational Linguistics (ACL)
Pages8614-8624
Number of pages11
ISBN (Electronic)9781952148255
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventAnnual Meeting of the Association of Computational Linguistics 2020 - Virtual, Seattle, United States of America
Duration: 5 Jul 202010 Jul 2020
Conference number: 58th
https://www.aclweb.org/anthology/volumes/2020.acl-main/

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
PublisherAssociation for Computational Linguistics (ACL)
ISSN (Print)0736-587X

Conference

ConferenceAnnual Meeting of the Association of Computational Linguistics 2020
Abbreviated titleACL 2020
Country/TerritoryUnited States of America
CitySeattle
Period5/07/2010/07/20
Internet address

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