CollabCoder: a lower-barrier, rigorous workflow for inductive collaborative qualitative analysis with large language models
Collaborative Qualitative Analysis (CQA) can enhance qualitative analysis rigor and depth
by incorporating varied viewpoints. Nevertheless, ensuring a rigorous CQA procedure itself …
by incorporating varied viewpoints. Nevertheless, ensuring a rigorous CQA procedure itself …
CoAIcoder: Examining the effectiveness of AI-assisted human-to-human collaboration in qualitative analysis
While AI-assisted individual qualitative analysis has been substantially studied, AI-assisted
collaborative qualitative analysis (CQA)–a process that involves multiple researchers …
collaborative qualitative analysis (CQA)–a process that involves multiple researchers …
Large language models in qualitative research: Can we do the data justice?
Qualitative researchers use tools to collect, sort, and analyze their data. Should qualitative
researchers use large language models (LLMs) as part of their practice? LLMs could …
researchers use large language models (LLMs) as part of their practice? LLMs could …
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM
Data analysts have long sought to turn unstructured text data into meaningful concepts.
Though common, topic modeling and clustering focus on lower-level keywords and require …
Though common, topic modeling and clustering focus on lower-level keywords and require …
Generative AI tools in academic research: Applications and implications for qualitative and quantitative research methodologies
This study examines the impact of Generative Artificial Intelligence (GenAI) on academic
research, focusing on its application to qualitative and quantitative data analysis. As GenAI …
research, focusing on its application to qualitative and quantitative data analysis. As GenAI …
Co-Designing for Transparency: Lessons from Building a Document Organization Tool in the Criminal Justice Domain
Investigative journalists and public defenders conduct the essential work of examining,
reporting, and arguing critical cases around police use-of-force and misconduct. In an ideal …
reporting, and arguing critical cases around police use-of-force and misconduct. In an ideal …
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions
Recent advancements in general-purpose AI have highlighted the importance of guiding AI
systems towards the intended goals, ethical principles, and values of individuals and …
systems towards the intended goals, ethical principles, and values of individuals and …
Critical-Reflective Human-AI Collaboration: Exploring Computational Tools for Art Historical Image Retrieval
K Glinka, C Müller-Birn - Proceedings of the ACM on Human-Computer …, 2023 - dl.acm.org
Just as other disciplines, the humanities explore how computational research approaches
and tools can meaningfully contribute to scholarly knowledge production. Building on …
and tools can meaningfully contribute to scholarly knowledge production. Building on …
Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations
Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI
collaboration in qualitative research. However, existing works focused on conventional …
collaboration in qualitative research. However, existing works focused on conventional …
Assessing User Trust in Active Learning Systems: Insights from Query Policy and Uncertainty Visualization
Active learning (AL) systems have become increasingly popular for various applications in
machine learning (ML), including medical imaging, environmental monitoring, and …
machine learning (ML), including medical imaging, environmental monitoring, and …