AI for Social Justice: New Methodological Horizons in Technical Communication

S. Scott Graham The University of Texas at Austin ; Hannah R. Hopkins The University of Texas at Austin

Abstract

This Methodologies and Approaches piece argues artificially intelligent machine learning systems can be used to effectively advance justice-oriented research in technical and professional communication (TPC). Using a preexisting dataset investigating patient marginalization in pharmaceuticals policy discourse, we built and tested 49 machine learning systems designed to identify and track rhetorical features of interest. Three popular and one new approach to feature engineering (text quantification) were evaluated. The results indicate that these systems have great potential for use in TPC research.

Journal
Technical Communication Quarterly
Published
2022-01-02
DOI
10.1080/10572252.2021.1955151
Open Access
Closed
Topics

Citation Context

Cited by in this index (18)

  1. Journal of Technical Writing and Communication
  2. Journal of Business and Technical Communication
  3. Technical Communication Quarterly
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  2. Journal of Technical Writing and Communication
  3. Computers and Composition
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  5. Journal of Business and Technical Communication
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  7. Technical Communication Quarterly
  8. Computers and Composition
  9. Journal of Technical Writing and Communication
  10. Journal of Business and Technical Communication
  11. Rhetoric Society Quarterly
  12. Rhetoric Society Quarterly
  13. Technical Communication Quarterly

Cites in this index (8)

  1. Written Communication
  2. Technical Communication Quarterly
  3. Technical Communication Quarterly
  4. Technical Communication Quarterly
  5. Technical Communication Quarterly
Show all 8 →
  1. Technical Communication Quarterly
  2. Journal of Technical Writing and Communication
  3. Technical Communication Quarterly
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