AI for qualitative analysis: digital gender exclusion

Digital gender exclusion is the gap in access to and meaningful use of digital technologies between men and women, and qualitative research is essential to explain its social causes for policy and program design. The primary audience for this post is qualitative researchers, UX teams, and policy analysts working on inclusion in low- and middle-income countries. According to the PLOS ONE study protocol published August 20, 2026, sociocultural norms and family gatekeepers are central drivers of women’s digital exclusion in Azam Basti, Karachi. This post shows how AI-enabled qualitative workflows can speed transcription, translation, thematic coding, and co-design synthesis so teams can move from field notes to actionable strategies faster.

Key Takeaways

According to the PLOS ONE study protocol published August 20, 2026, gendered social norms and household gatekeepers shape why many marginalized women in Pakistan remain offline: the study will use community-based participatory research to co-design solutions with women, family members, and leaders (PLOS ONE).

The PLOS ONE protocol (published August 20, 2026) plans a three-phase qualitative study in Azam Basti with roughly 36–45 participants in FGDs and interviews, starting recruitment in August 2026.
The PLOS ONE authors cite the GSMA Mobile Gender Gap Report 2024 finding that women in Pakistan were 38% less likely than men to own a mobile phone or access mobile internet, reported in 2024.
The PLOS ONE protocol explicitly names "deeply entrenched sociocultural barriers" as a core explanatory concept and plans co-design workshops to engage family gatekeepers, with study results expected beginning in late 2027.

What happened and how the study works

The PLOS ONE study protocol published August 20, 2026, describes a community-based participatory research design in Azam Basti, Karachi that will run for two years and begin fieldwork in August 2026.

According to Shahil-Feroz et al. (PLOS ONE, 2026), the project is organized in three phases: formation of a Community Advisory Committee, focus group discussions and in-depth interviews using photo-elicitation and role-play, and three rounds of co-design workshops to develop community-informed interventions.

The PLOS ONE protocol specifies a sample of approximately 36–45 participants across marginalized women, family gatekeepers, and community leaders, with FGDs of 4–5 participants and individual interviews of 40–60 minutes, and plans translation from Urdu to English for analysis.

Findings snapshot

Date / Source	Metric described in the protocol	Value (reported)	Implication for qualitative research
August 20, 2026 / PLOS ONE	Project start and publication	Two-year project, published Aug 20, 2026; fieldwork Feb 2026 to Jan 2028 timeline	Plan data collection and analysis timeline into funding and dissemination schedules
2024 / GSMA (cited in PLOS ONE)	Mobile ownership gap in Pakistan	Women 38% less likely than men to own a mobile or access mobile internet in 2024	Design sampling to capture the most excluded groups (rural, low-income)
Study protocol detail / PLOS ONE	Sample size	Approximately 36–45 participants across FGDs and interviews	Expect to reach thematic saturation with purposive sampling and iterative coding
2025 Competition / SSHRC (funding cited in PLOS ONE)	Grant amount	$70, 626 USD awarded (SSHRC Insight Development Grant for 2025 competition)	Scale methods to match available resources and timeline

Implications for qualitative researchers studying the gender digital divide

Researchers should plan methods that capture household power dynamics because the PLOS ONE protocol (published August 20, 2026) shows family gatekeepers play an active role in women’s digital access decisions.

The PLOS ONE authors argue that shifting from awareness campaigns to co-design with family gatekeepers is essential; the protocol schedules participatory methods such as photo-elicitation and role-play to surface tacit norms.

Because the PLOS ONE protocol expects to transcribe Urdu FGDs and translate them into English, teams should budget time and resources for bilingual transcription and back-translation to preserve nuance.

How Evidano helps: AI-enabled qualitative workflows

Problem: Slow transcription and translation when data are in Urdu

Solution: Automated, secure transcription and translation workflows reduce turnaround time from weeks to days and keep original-language text linked to English translations for auditability.

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.

Relevant feature links: Speech-to-text for automated Urdu transcription and Translation for bilingual processing.

Problem: Manual coding is slow and inconsistent across coders

Solution: Use Evidano’s thematic coding assistance to generate initial codebooks, run cross-segment frequency analyses, and harmonize codes between two independent coders as the PLOS ONE protocol recommends dual coding for reflexive thematic analysis.

Problem: Co-design outputs need rapid synthesis for stakeholders

Solution: Evidano’s AI summaries and visualization tools convert FGDs, role-play transcripts, and photo-elicitation notes into extractable themes and prioritized recommendations suitable for policy briefs and community dissemination.

FAQ: digital gender exclusion

What is digital gender exclusion and why does it matter?

Answer: Digital gender exclusion is the unequal access to and meaningful use of digital technologies between men and women.

The PLOS ONE protocol (published August 20, 2026) frames this exclusion as driven by sociocultural norms, safety concerns, affordability, and gatekeeping by family members, and links closing the gap to SDGs on health, gender equality, and reduced inequality.

How many participants will the PLOS ONE study collect and when will fieldwork start?

Answer: The study protocol plans approximately 36–45 participants and expected recruitment to begin in August 2026.

The PLOS ONE protocol schedules data collection from August 2026 to April 2027, with analysis and dissemination through January 2028.

Which qualitative methods does the PLOS ONE protocol use and why?

Answer: The protocol uses photo-elicitation, role-play, FGDs, and in-depth interviews to elicit norms and power dynamics that standard surveys may miss.

The PLOS ONE authors argue that participatory methods reveal household decision-making processes and provide material for co-design with community gatekeepers.

How can AI help preserve translation nuance and coding rigor?

Answer: AI-assisted transcription and bilingual alignment speed initial processing while preserving linkages to original-language segments for human review.

The PLOS ONE protocol requires transcripts be analyzed in English after Urdu transcription, so an AI workflow that keeps originals and translations paired aids transparency and coder reliability.

Conclusion & Next Steps

The PLOS ONE study protocol published August 20, 2026, provides a clear, participatory blueprint for diagnosing and co-designing solutions to digital gender exclusion in a marginalized Karachi community.

Researchers planning similar projects should budget for bilingual transcription, iterative thematic coding, and active involvement of family gatekeepers as part of co-design.

Evidano’s AI-enabled workflows can shorten the loop from data collection to policy-ready recommendations while preserving provenance and translation fidelity.

If you are preparing fieldwork or need to scale bilingual qualitative analysis, Try Evidano for free to pilot automated transcription, translation, and thematic synthesis in your project.

Topics

digital gender exclusion
qualitative analysis of digital gender exclusion
gender digital divide Pakistan

Keep reading

Browse all articles