“Climate Change” vs. “Global Warming”: A Corpus-assisted Discourse Analysis of Climate Change Discussion on Twitter

Yushi Luo, Jingyi Zhang, Yunya Song, Zeping Huang

Research output: Contribution to conferenceConference paperpeer-review

Abstract

By combining computer-assisted quantitative linguistic analysis and critical discourse analysis, this study compares Twitter discussions on climate change and global warming within a decade, to investigate the convergence or divergence of distribution of key concepts and embeddedness of moral judgements according to the moral foundation theory. Results show that the two topics varied a lot in the semantic categories of keywords, but their distinction in moral expression was smaller.
Original languageEnglish
Publication statusPublished - Aug 2024
EventAssociation for Education in Journalism and Mass Communication (AEJMC) 2024 107th Annual Conference: Representation and Voice — The Future of Democracy - Philadelphia Marriott Downtown, Philadelphia, United States
Duration: 8 Aug 202411 Aug 2024
https://community.aejmc.org/conference/home (Link to conference website)
https://community.aejmc.org/conference/schedule/program (Link to conference programme)
https://community.aejmc.org/conference/paper-competition/paperabstracts (Link to conference paper abstract)

Conference

ConferenceAssociation for Education in Journalism and Mass Communication (AEJMC) 2024 107th Annual Conference
Country/TerritoryUnited States
CityPhiladelphia
Period8/08/2411/08/24
Internet address

User-Defined Keywords

  • Climate Change
  • Global Warming
  • Social Media Discourse
  • Corpus-assisted Discourse Analysis
  • Moral Foundation Theory

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