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Communicating Crises during the Pandemic: A Corpus-assisted Discourse Study of CSR Reports by Top Corporations of China and the US

  • Ming Liu (Corresponding Author)
  • , Yang Yang

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

This study integrates text mining into discourse analysis to provide a corpus-assisted discourse investigation of crisis communication during the pandemic in the CSR reports of leading corporations in China and the US. Drawing on the theories and methods of text mining, corpus linguistics, and systemic functional linguistics, this research reveals not only the foregrounding of danger as a prominent theme in Chinese and American CSR reports but also their distinct preferences in representing these dangers. The findings highlight not only cultural differences in crisis communication during the pandemic but, more importantly, the potential for a balanced integration, or “synergy”, of systemic functional linguistics and text mining in corpus-assisted discourse studies.
Original languageEnglish
Title of host publicationExplorations in Systemic Functional Linguistics: Essays in Honor of Professor Huang Guowen
EditorsChengguang Chang, Hui Yu
PublisherSpringer
Chapter14
Pages303-324
ISBN (Electronic)9789819535057
ISBN (Print)9789819535040
DOIs
Publication statusPublished - 22 Feb 2026

Publication series

NameThe M.A.K. Halliday Library Functional Linguistics Series (TMAKHLFLS)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Corporate social responsibility
  • CSR report
  • Corporations
  • Text mining
  • Corpus linguistics
  • Systemic functional linguistics
  • Corpus-assisted discourse study

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