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Critical discourse analysis guided topic modeling

The case of Al-Jazeera Arabic

Bibliographic Data

ID20508153
AuthorsToni Rouhana (0000-0002-0589-9073, University of York, corresponding author)
Year2023
Volume26
Issue5
Pages904-922
Publication date2023-04-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInformation Communication & Society (JOURNAL)
Journal identifiersISSN: 1369-118X • E-ISSN: 1468-4462
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1369118x.2023.2166364
OpenAlexW4322183400
LanguageEN
Citations received3
References cited19

This paper analyzes all the articles and corresponding comments of Al-Jazeera Arabic's coverage of the Syrian war from 2011 to 2017. I propose a multilayered Critical Discourse Analysis Guided Topic Modeling method that includes context of social structures and processes in the analysis of topics. This article shows that the employment of topic modeling without Critical Discourse Analysis does not unravel the power relations embedded within the platform. Two different applications of this method are used to demonstrate how a guided topic modeling method can lead to more nuanced results that can unravel important social dynamics which would have remained unperceived if applying traditional computational methods

Arabic · Critical discourse analysis · Data science · Discourse analysis · Linguistics · Political science · Politics · Computational and Text Analysis Methods · Computer Science · History · Media Studies and Communication · Social Media and Politics

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Unique citing works3
Citations per year1,5
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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