Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Using Large Language Models for Qualitative Analysis can Introduce Serious Bias

5 references·10 citing·41 second hop

FromToDepth

this work references cited by second hop

References

2004Culture and Public Action1,626 cited
2018Flexible Coding of In-depth Interviews: A Twenty-first-century Approach1,622 cited
2023ChatGPT outperforms crowd workers for text-annotation tasks1,193 cited
2018Aspiration198 cited
2022From Ends to Means: The Promise of Computational Text Analysis for Theoretically Driven Sociological Research37 cited

Cited by

2024AI as super-controversy: Eliciting AI and society controversies with an extended expert community in the UK37 cited
2025Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis21 cited
2025LATA: A Pilot Study on LLM-Assisted Thematic Analysis of Online Social Network Data Generation Experiences20 cited
2025LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding9 cited
2025A hybrid mixed methods design of qualitative enhancement and reciprocal feedback loop for augmented text classification3 cited
2026Integrating Large Language Models into Qualitative Methods in Health Services Research: A Proof-of-Concept Study (Preprint)2 cited
2026Automating data extraction in meta-research: A multi-model benchmark in network psychometrics papers1 cited
2025Cheap Learning: Maximizing Performance of Language Models for Social Data Science Using Minimal Data

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

1 cited

2025QualiPilot – an offline AI tool for qualitative content analysis1 cited

2026Machine-Assisted Topic Analysis of Large-Scale Health Experience Data: Identifying Sociodemographic Differences and Evaluating Bias in Large Language Models1 cited