The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research?
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866909597973872640 |
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| author | Retkowski, Fabian Sudmann, Andreas Waibel, Alexander |
| author_facet | Retkowski, Fabian Sudmann, Andreas Waibel, Alexander |
| contents | Qualitative research often involves labor-intensive processes that are difficult to scale while preserving analytical depth. This paper introduces The AI Co-Ethnographer (AICoE), a novel end-to-end pipeline developed for qualitative research and designed to move beyond the limitations of simply automating code assignments, offering a more integrated approach. AICoE organizes the entire process, encompassing open coding, code consolidation, code application, and even pattern discovery, leading to a comprehensive analysis of qualitative data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_00012 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research? Retkowski, Fabian Sudmann, Andreas Waibel, Alexander Computation and Language Artificial Intelligence Qualitative research often involves labor-intensive processes that are difficult to scale while preserving analytical depth. This paper introduces The AI Co-Ethnographer (AICoE), a novel end-to-end pipeline developed for qualitative research and designed to move beyond the limitations of simply automating code assignments, offering a more integrated approach. AICoE organizes the entire process, encompassing open coding, code consolidation, code application, and even pattern discovery, leading to a comprehensive analysis of qualitative data. |
| title | The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research? |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2505.00012 |