Networked corporate advocacy in a polarized public arena: analyzing discourse networks of U.S. Fortune 500 companies on controversial issues

Yingying Chen, Jiun Yi Tsai, Shupei Yuan

Research output: Contribution to journalArticlepeer-review

Abstract

This study investigates how U.S. Fortune 500 corporate social advocacy (CSA) discourse on multiple contentious issues is associated with public attention on Twitter/X. Our theoretical framework elucidates three discourse types and conceptualizes the diversity, structure, and stability of discourse coalition networks. Utilizing computational methods and dynamic network analysis of 43,791 corporate tweets over two years, findings reveal a prevalent use of aspirational communication in addressing climate change and healthcare disparities. Functional discourse is predominantly employed in tweets on racial equality and COVID-19 vaccination, while localization discourse is concentrated in tweets about gender/sexuality. Network analysis shows that discourse coalitions exist across industries, with a convergence in discourse types and low temporal stability in network compositions. Most discourse types and features of discourse coalition networks are positively associated with public attention to CSA tweets, though these associations vary across different issues.

Original languageEnglish (US)
Pages (from-to)148-160
Number of pages13
JournalJournal of Communication
Volume75
Issue number2
DOIs
StatePublished - Apr 1 2025

Keywords

  • computational methods
  • corporate social advocacy
  • discourse network
  • dynamic network analysis
  • social media

ASJC Scopus subject areas

  • Communication
  • Language and Linguistics
  • Linguistics and Language

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