Journal Contents

About the Journal

Aims and Scope

Research Areas

Key Features

Publication Frequency

Article Processing Charges

About the Journal

 

The International Journal of Human Post-Edited AI Qualitative Data Analysis (IJHPAQDA) is a peer-reviewed, open-access scholarly journal dedicated to examining the integration of artificial intelligence (AI) within qualitative research methodologies, with particular emphasis on human post-editing, interpretive oversight, and ethical accountability. The journal provides an international platform for qualitative researchers, social scientists, methodologists, data scientists, and applied practitioners to disseminate innovative research, methodological frameworks, and applied studies involving AI-assisted qualitative data analysis.

 

IJHPAQDA emphasizes that while AI technologies can support and augment qualitative research processes—such as coding, thematic analysis, discourse analysis, and narrative inquiry—human expertise remains central to ensuring epistemic rigor, contextual sensitivity, and methodological transparency. The journal promotes responsible, human-centered approaches to AI-assisted qualitative inquiry and encourages critical reflection on the limitations, risks, and implications of AI use in qualitative research contexts.

 

Aims and Scope

 

The primary aim of IJHPAQDA is to advance theoretical, methodological, and applied knowledge related to AI-assisted qualitative research while foregrounding the indispensable role of human judgment, post-editing, and interpretive decision-making. The journal publishes high-quality scholarly work that critically examines the design, deployment, evaluation, validation, and governance of AI tools within qualitative research workflows.

 

IJHPAQDA welcomes empirical, conceptual, methodological, and applied contributions that demonstrate methodological rigor, transparency in AI use, and ethical reflexivity. The scope of the journal includes, but is not limited to, the following areas:

Human-in-the-loop qualitative data analysis

Post-editing, verification, and correction of AI-generated qualitative outputs

AI-assisted coding, categorization, and thematic analysis

AI-supported discourse analysis, narrative inquiry, and interpretive methods

Methodological frameworks for assessing AI-assisted qualitative research

Ethical, epistemological, and reflexive implications of AI-mediated analysis

Transparency, explainability, and accountability in AI-supported research

Comparative studies of human-only, AI-only, and hybrid analytical approaches

Best practices and standards for responsible AI use in qualitative inquiry

 

Research Areas

IJHPAQDA covers a broad range of interdisciplinary research areas, including:

Qualitative Methodology

Innovations in qualitative research design, coding, interpretation, and validation involving AI-assisted tools.

 

Human–AI Interaction in Research

Studies examining human oversight, post-editing practices, and decision-making in AI-supported qualitative analysis.

Discourse, Narrative, and Text Analysis

AI-supported approaches to discourse analysis, narrative inquiry, and qualitative text interpretation.

 

Ethics and Research Integrity

Ethical considerations, bias, transparency, accountability, and governance in AI-mediated qualitative research.

Applied Qualitative Research

Case studies and applied research in education, health, policy, organizational studies, and the social sciences.

Comparative and Evaluation Studies

Comparative analyses of human-only, AI-only, and hybrid qualitative analytical approaches.

 

Key Features

Rigorous Peer Review

A double-blind peer review process ensuring academic quality, originality, and ethical integrity.

Open Access Publishing

All articles are freely available to read, download, and share, supporting global accessibility and dissemination.

Methodological and Ethical Focus

Strong emphasis on transparency, explainability, and human oversight in AI-assisted qualitative research.

Interdisciplinary Engagement

Encourages contributions from the social sciences, humanities, education, data science, and applied research fields.

Scholarly Dialogue

Supports critical discussion on emerging practices, challenges, and standards in AI-assisted qualitative inquiry.

 

Publication Frequency

The International Journal of Human Post-Edited AI Qualitative Data Analysis (IJHPAQDA) is published biannually, with two issues released each year. This publication schedule supports careful peer review and the dissemination of high-quality, methodologically robust scholarship.

 

Article Processing Charges

To support its open-access publishing model and ensure the broad dissemination of scholarly work, IJHPAQDA charges an Article Processing Charge (APC) of USD 50 per accepted article.

The APC is charged only after acceptance

There are no submission or access fees

Editorial and peer review decisions are independent of payment

Discounts or waivers may be considered for authors facing financial hardship, subject to editorial approval.