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AI Qualitative Research for Gender-Based Digital Exclusion

Gender-based digital exclusion is the uneven access and use of digital technologies by gender, and researchers need scalable qualitative methods to surface norms, gatekeepers, and co-designed solutions. According to the PLOS One study protocol by Shahil-Feroz et al. (2026), women in Pakistan face sociocultural and household barriers that reduce mobile ownership and internet use, and this post explains how AI-enabled qualitative research can accelerate analysis, validation, and community-facing outputs for that work. The primary keyword for this post is gender-based digital exclusion and the audience is qualitative researchers, program leads, and policy analysts designing inclusion interventions in low-resource settings.

In this article

  • Key Takeaways
  • What happened and how this study works
  • Findings snapshot
  • Implications for qualitative researchers and program teams
Evidano7 min read
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