Искусственный интеллект и видеоанализ в качественной социологии: обзор новейших исследований
Обзорная статья
Выражение признательности
Статья подготовлена в рамках проекта «Община и литургия: пространство православного храма в коммуникативных практиках прихожан» при поддержке Фонда развития ПСТГУ и Фонда «Живая традиция» (2025–2026 гг.).
Для цитирования
Баньковская С. П., Идоленко В. В. Искусственный интеллект и видеоанализ в качественной социологии: обзор новейших исследований // Интеракция. Интервью. Интерпретация. 2026. Том 18. № 2. С. 161-179. DOI: https://doi.org/10.19181/inter.2026.18.2.3 EDN: NCZXKA
Аннотация
В статье предложен обзор новейших публикаций, в которых рассматриваются проблемы интегрирования искусственного интеллекта (ИИ) как инструмента в качественные социологические исследования. Особое внимание уделено мультимодальным качественным исследованиям, использующим видеоданные и применяющим видеоанализ как основу методологического дизайна. Обзор более 70 публикаций позволил говорить об особенностях включения ИИ в исследовательский процесс и сопутствующих преимуществах и проблемах, среди которых: эпистемологические и этические вопросы, изменение самой природы данных и процедур их сбора и обработки, взаимодействие ИИ и исследователей на разных этапах исследования, применение мультимодальных больших языковых моделей (MLLM) в видеоисследованиях и др.
Ключевые слова:
качественные исследования в социологии, искусственный интеллект, видеоисследования, мультимодальные большие языковые модели (MLLM), экосистемы специализированных инструментов и датасеты, автоматизированный видеоанализ и компьютерное зрение
Литература
Ворошилова А.И. Искусственный интеллект в социологическом исследовании: опыт использования для обработки и анализа интервью // Социодинамика. 2025. № 2. С. 1–13. DOI: https://doi.org/10.25136/2409-7144.2025.2.73330 EDN: HSPJRS
Галкин К.А., Петухова И.С., Парфенова О.А. OPEN AI как помощник при анализе интервью // Социологические исследования. 2025. Т. 51. № 4. С. 105–116. DOI: https://doi.org/10.7868/S3034601025040095
Пчегатлук С.К., Косивченко Е.В. Искусственный интеллект в социологическом измерении // Гуманитарные, социально-экономические и общественные науки. 2024. № 6. С. 1–6. DOI: https://doi.org/10.24412/2220-2404-2024-6-34
Савинская О.Б. Применение ИИ для разработки категорий в качественном исследовании: что возможно в текущем моменте // Ойкумена. Регионоведческие исследования. 2025. Т. 19. № 3. С. 63–72. DOI: https://doi.org/10.63973/1998-6785/2025-3/63-72
Смирнов В.А. Генеративные нейронные сети в эмпирическом социологическом исследовании: возможности и ограничения // Ойкумена. Регионоведческие исследования. 2025. Т. 19. № 3. С. 52–62. DOI: https://doi.org/10.63973/1998-6785/2025-3/52-62
Хуснутдинова М., Баранова И., Зубова О. Искусственный интеллект в качественном анализе данных фокус-групп: сравнительное исследование ручного и автоматизированного подходов // Ойкумена. Регионоведческие исследования. 2025. Т. 19. № 3. С. 73–83. DOI: https://doi.org/10.63973/1998-6785/2025-3/73-83
Филипова А.Г., Абросимова Е.Е., Зубова О.Г. Метод синтетических фокус-групп в контексте цифровой трансформации социологического исследования // Социодинамика. 2025. № 5. С. 1–17. DOI: https://doi.org/10.25136/24097144.2025.5.74430 EDN: EUMCKL
Abramson C.M., Prendergast T., Li Z., Dohan D. (2026) Qualitative Research in an Era of AI: A Pragmatic Approach to Data Analysis, Workflow, and Computation. Annual Review of Sociology. P. 1–37. DOI: https://doi.org/10.48550/arXiv.2509.12503
Akpan I., Kobara Y., Owolabi J., Akpan A., Offodile O. (2025) Conversational and Generative Artificial Intelligence and Human-Chatbot Interaction in Education and Research. International Transactions in Operational Research. Vol. 32. No. 3. P. 1251–1281. DOI: https://doi.org/10.1111/itor.13522
Artz M. (2026) Multi-Agent Ethnography: Post-Conventional Anthropological Practice Through Human−AI Collaboration. Anthropological Forum. P. 1–19. DOI: https://doi.org/10.1080/00664677.2026.2614501
Bankovskaya S.P. (2017) Epistemological Premisses of Converting Video of Social Events into the Narrative. Interaction. Interview. Interpretation. Vol. 9. No. 13. P. 39–43.
Bolaños F., Salatino A., Osborne F., Motta E. (2024) Artificial Intelligence for Literature Reviews: Opportunities and Challenges. Scientometrics. Vol. 129. P. 258–315. DOI: https://doi.org/10.48550/arXiv.2402.08565
Cabanillas-García J.L., Sánchez-Gómez M.C., del Brío-Alonso I. (2025) Voices of Researchers: Ethics and Artificial Intelligence in Qualitative Inquiry. Information. Vol. 16. No. 11. P. 938. DOI: https://doi.org/10.3390/info16110938
Cappello F., Madireddy S., Underwood R., Getty N., Chia N.L.-P., Ramachandra N., Nguyen J., Keçeli M., Mallick T., Li Z., Ngom M., Zhang, C., Yanguas-Gil, A., Antoniuk E., Kailkhura B., Tian M., Du Y., Ting Y.-S., Wells A., Nicolae В., Maurya A., Rafique M.M., Huerta E., Li B., Foster I., Steven. (2025) EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants (Preprint). Argonne National Laboratory. P. 1–33. DOI: https://doi.org/10.48550/arXiv.2502.20309
Cardoso Sampaio R., Chagas V., Sinimbu Sanchez C., Gonçalves J., Borges T., Brum Alison M., Tigrinho C.S., Schwarzer Paz F. (2024) An Artificial Intelligence (AI)-Assisted Scoping Review of Emerging Uses of AI in Qualitative Research and Its Ethical Considerations. Revista Pesquisa Qualitativa. Vol. 12. No. 30. P. 1–28. DOI: https://doi.org/10.33361/RPQ.2024.v.12.n.30.729
Cook D.A., Ginsburg S., Sawatsky A.P., Kuper A., D’Angelo J.D. (2025) Artificial Intelligence to Support Qualitative Data Analysis: Promises, Approaches, Pitfalls. Academic Medicine. Vol. 100. No. 10. P. 1134–1149. DOI: https://doi.org/10.1097/ACM.0000000000006134
Costa A.P., Burneo Arteaga P., Kasperiuniene J. (2025) Mixed-Methods & AI for Methodological Literature Reviews. The Qualitative Report. Vol. 30. No. 10. P. 4515–4540. DOI: https://doi.org/10.46743/2160-3715/2025.8434
Çelik N. (2025) New Methodological Trends in Sociology: An Assessment of Recent Studies. Uluslararası Sosyal Bilimlerde Mükemmellik Arayışı Dergisi. Vol. 8. P. 44–59. DOI: https://doi.org/10.5281/zenodo.10444995
Davidson T. (2024) Start Generating: Harnessing Generative Artificial Intelligence for Sociological Research. Socius: Sociological Research for a Dynamic World. Vol. 10. P. 1–17. DOI: https://doi.org/10.1177/23780231241259651
Davison R.M., Chughtai H., Nielsen P., Marabelli M., Iannacci F., van Offenbeek M., Tarafdar M., Trenz M., Techatassanasoontorn A.A., Díaz Andrade A., Panteli N. (2024) The Ethics of Using Generative AI for Qualitative Data Analysis. Information Systems Journal. Vol. 34. P. 1433–1439. DOI: https://doi.org/10.1111/isj.12504
Dellafiore F., Saba A., Collaro C., Artioli G. (2025) Artificial Intelligence in Qualitative Research: Insights from Experts via Reflexive Thematic Analysis. Qualitative Health Research. Vol. 36. No. 2–3. P. 145–165. DOI: https://doi.org/10.1177/10497323251389800
Duke M.R. (2026) Artificial Intelligence and the End(s) of Qualitative Data Analysis. Human Organization. Vol. 85. No. 1. P. 8–10. DOI: https://doi.org/10.1080/00187259.2025.2546439
Ejjami R. (2024) Integrative Literature Review 5.0: Leveraging AI and Emerging Technologies to Redefine Academic Research. International Journal for Multidisciplinary Research. Vol. 6. No. 5. P. 1–32. DOI: https://doi.org/10.36948/ijfmr.2024.v06i05.28756
Eryaman M.Y. (2025) The Evolving Landscape of Qualitative Research: Exploring the Potential and Navigating the Challenges of Artificial Intelligence. International Journal of Qualitative Methods. Vol. 24. P. 1–3. DOI: https://doi.org/10.1177/16094069251400178
Franken L., Vepřek L.H. (2026) AI in and for Qualitative Research. Handbuch Soziale Praktiken und Digitale Alltagswelten. P. 581–589. DOI: https://doi.org/10.1007/978-3-658-44521-8_98
Fu X., Zhao L., Wang A. (2025) Intelligent Image Analysis Based on Multimodal Large Models: A Case Study of Visual Ethnography. Guangdong Social Sciences. No. 5. P. 180–192. DOI: https://doi.org/10.12451/202510.01699
Gao Y., Lee D., Burtch G., Fazelpour S. (2025) Take Caution in Using LLMs as Human Surrogates. Proceedings of the National Academy of Sciences. Vol. 122. No. 24. P. 1–10. DOI: https://doi.org/10.1073/pnas.2501660122
Garcia K., McMahon E., Conwell C., Bonner M.F., Isik L. (2024) Modeling Dynamic Social Vision Highlights Gaps Between Deep Learning and Humans. International Conference on Learning Representations (ICLR). P. 1–18. DOI: https://doi.org/10.31234/osf.io/4mpd9
Golann J.W., Bougher L., Hall R., Espenshade T.J. (2024) Sharing Big Video Data: Ethics, Methods, and Technology. Sociological Methods & Research. Vol. 55. No. 1. P. 1–33. DOI: https://doi.org/10.1177/00491241241277524
Grigoryan T. (2025) Weaving Meaning in the Digital Age: A Meta-Meta-Ethnography Enhanced by AI. WCF Education. Vol. 3. No. 1. P. 11–20. DOI: https://doi.org/10.33422/wcfeducation.v3i1.1317
Gu H., Chandrasegaran S., Lloyd P. (2025) Synthetic Users: Insights from Designers’ Interactions with Persona-Based Chatbots. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. Vol. 39. P. 1–17. DOI: https://doi.org/10.1017/S0890060424000283
Guo J., Fang H. (2025) Dialogues of Sense and Algorithm: Reconfiguring Arts-Based Research in the AI Era. Qualitative Inquiry. (Advance online publication). DOI: https://doi.org/10.1177/10778004251393201
Heuer H., Glassman, E.L. (2024) Reliability Criteria for News Websites. ACM Transactions on Computer-Human Interaction. Vol. 31. No. 2. P. 1–33. DOI: https://doi.org/10.1145/3635147
Hughes J., Homan L., O’Reilly M., Hughes K. (2025) AI Voice Methodology: Using Generative AI in Qualitative Social Research. Qualitative Inquiry. P. 1–18. DOI: https://doi.org/10.1177/10778004251401842
Jang K.M., Chen J., Kang Y., Kim J., Lee J., Duarte F., Ratti C. (2024) Place Identity: a Generative AI’s Perspective. Humanities and Social Sciences Communications. Vol. 11. No. 1. P. 635–650. DOI: https://doi.org/10.1057/s41599-024-03645-7
Jangi̇roğlu N., Küçük S. (2025) Recoding Reality: A Case Study of YouTube Reactions to Generative AI Videos. Systems. Vol. 13 No. 10. P. 1–38. DOI: https://doi.org/10.3390/systems13100925
Jarke J., Heuer H. (2024) Reassembling the Black Box of Machine Learning: Of Monsters and the Reversibility of Foldings. In: Algorithmic Regimes: Methods, Interactions, and Politics. Amsterdam: Amsterdam University Press. DOI: https://doi.org/10.2307/jj.11895528.7
Jarrahi M.H. (2025) Interviewing AI: Using Qualitative Methods to Explore and Capture Machines’ Characteristics and Behaviors. Big Data & Society. Vol. 12. No. 3. P. 1–15. DOI: https://doi.org/10.1177/20539517251381697
Jowsey T., Braun V., Clarke V., Lupton D., Fine M. (2025) We Reject the Use of Generative Artificial Intelligence for Reflexive Qualitative Research. Qualitative Inquiry. P. 1–5. DOI: https://doi.org/10.1177/10778004251401851
Kapania S., Agnew W., Eslami M., Heidari H., Fox S.E. (2025) “Simulacrum of Stories”: Examining Large Language Models as Qualitative Research Participants. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. P. 1–17. DOI: https://doi.org/10.1145/3706598.3713220
Kommers C., Hemment D., Antoniak M., Leibo J.Z., Long H., Robinson E., Sobey A. (2025) Meaning is Not a Metric: Using LLMs to Make Cultural Context Legible at Scale. arXiv preprint. P. 1–17. DOI: https://doi.org/10.48550/arXiv.2505.23785
Kong F., Zu W., Chen X., Yang Y., Zhu S.-C., Feng X. (2025) SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning. arXiv preprint. P. 1–25. DOI: https://doi.org/10.48550/arXiv.2506.05425
Krapp E., Neuhaus R., Hassenzahl M., Laschke M. (2024) In a Quasi-Social Relationship with ChatGPT. An Autoethnography on Engaging with Prompt-Engineered LLM Personas. Proceedings of the 13th Nordic Conference on Human-Computer Interaction. No. 79. P. 1–16. DOI: https://doi.org/10.1145/3679318.3685501
Kulkarni M., Cameron L.D., Gehman J., Glaser V.L., Greenwood M., Islam G., Lindebaum D., Mantere S., Pachidi S., Petriglieri G., Rahman H.A., Vaara E., van den Broek E. (2024) The Future of Research in an Artificial Intelligence-Driven World. Journal of Management Inquiry. Vol. 33. No. 3. P. 207–229. DOI: https://doi.org/10.1177/10564926231219622
Kvist Møller A.H., Airoldi M. (2025) With Eyes of a Machine: A Three-Step Guide for Applying Machine Learning to Visual Content Analysis in Social Research. Big Data and Society. Vol. 12. No. 2. P. 1–13. DOI: https://doi.org/10.1177/20539517251343860
Latinović B., Krčadinac O., Stanković Z., Stošić L. (2025) The Sociology of Artificial Intelligence Through the Lens of Ethics in the Digital Age. Journal of UUNT: Informatics and Computer Sciences. Vol. 2. No. 1. P. 1–8. DOI: https://doi.org/10.62907/juuntics250201001l
Levine M., Philpot R., Nightingale S.J., Kordoni A. (2024) Visual Digital Data, Ethical Challenges, and Psychological Science. American Psychologist. Vol. 79. No. 1. P. 109–122. DOI: https://doi.org/10.1037/amp0001192
Liu J., Su Y., Seth P. (2025) Can Large Language Models Grasp Concepts in Visual Content? A Case Study on YouTube Shorts about Depression. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25). No. 127. P. 1–11. DOI: https://doi.org/10.1145/3706599.3719821
Nicmanis M., Spurrier H. (2025) Getting Started with Artificial Intelligence Assisted Qualitative Analysis: An Introductory Guide to Qualitative Research Approaches with Exploratory Examples from Reflexive Content Analysis. International Journal of Qualitative Methods. Vol. 24. P. 1–14. DOI: https://doi.org/10.1177/16094069251354863
Malik F.S., Terzidis O. (2025) A Hybrid Framework for Creating Artificial Intelligence-Augmented Systematic Literature Reviews. Management Review Quarterly. P. 1–27. DOI: https://doi.org/10.1007/s11301-025-00522-8
Marciniak L. (2026) Two Decades of Reflection and Critique. The Continuous Fear of Replacement — The Renaissance of Feeling and Intuition in the Age of Artificial Intelligence in Qualitative Sociology Review (2005–2025). Qualitative Sociology Review. Vol. 22. No. 1. P. 6–22. DOI: https://doi.org/10.18778/1733-8077.22.1.01
Marshall D., Naff D.B. (2024) The Ethics of Using Artificial Intelligence in Qualitative Research. Journal of Empirical Research on Human Research Ethics. Vol. 19. No. 3. P. 92–102. DOI: https://doi.org/10.1177/15562646241262659
Messeri L., Crockett M.J. (2024) Artificial Intelligence and Illusions of Understanding in Scientific Research. Nature. Vol. 627. P. 49–58. DOI: https://doi.org/10.1038/s41586-024-07146-0
Messner R., Smith S., Richards C. (2025) Artificial Intelligence and Qualitative Data Analysis: Epistemological Incongruences and the Future of the Human Experience. International Journal of Qualitative Methods. Vol. 24. P. 1–13. DOI: https://doi.org/10.1177/16094069251371481
Müller S., Kempton A., Mønsted T. (2024) Is the Human Is Researcher Dead? Long Live the AI Researcher. Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS 2024). P. 207–216. DOI: https://doi.org/10.24251/HICSS.2024.025
Mozelius P., Humble N. (2024) On the Use of Generative AI for Literature Reviews: An Exploration of Tools and Techniques. Proceedings of the 23rd European Conference on Research Methodology for Business and Management Studies. Vol. 23. No. 1. P. 1–8. DOI: https://doi.org/10.34190/ecrm.23.1.2528
Pant A., Hoda R., Tantithamthavorn C., Turhan B. (2024) Ethics in AI through the Practitioner’s View: A Grounded Theory Literature Review. Empirical Software Engineering. Vol. 29. No. 3. P. 1–48. DOI: https://doi.org/10.1007/s10664-024-10465-5
Paulus T., Marone V. (2025) “In Minutes Instead of Weeks”: Discursive Constructions of Generative AI and Qualitative Data Analysis. Qualitative Inquiry. Vol. 31. No. 5. P. 395–402. DOI: https://doi.org/10.1177/10778004241250065
Paulus T., Lester J., Davis C. (2026) The Construction of the Role of AI in Qualitative Data Analysis in the Social Sciences. AI & Society. Vol. 41. P. 1737–1748. DOI: https://doi.org/10.1007/s00146-025-02488-3
Perkins M., Roe J. (2024) The use of Generative AI in Qualitative Analysis: Inductive Thematic Analysis with ChatGPT. Journal of Applied Learning and Teaching. Vol. 7. No. 1. P. 390–395. DOI: https://doi.org/10.37074/jalt.2024.7.1.22
Pink S. (2025) Artificial Intelligence and the Futures Turn: An Anticipatory Infrastructure for Qualitative Methods. Qualitative Research in Psychology. P. 1–20. DOI: https://doi.org/10.1080/14780887.2025.2570167
Retkowski F., Sudmann A., Waibel A. (2025) The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research? In: Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities. Albuquerque: Association for Computational Linguistics. P. 73–90. DOI: https://doi.org/10.18653/v1/2025.nlp4dh-1.8
Roberts J., Baker M., Andrew J. (2024) Artificial Intelligence and Qualitative Research: The Promise and Perils of Large Language Model (LLM) “Assistance”. Critical Perspectives on Accounting. Vol. 99. P. 1–9. DOI: https://doi.org/10.1016/j.cpa.2024.102722
Schwartz S. (1992) Universals in the Content and Structure of Values: Theoretical Advances and Empirical Tests in 20 Countries. Advances in Experimental Social Psychology. Vol. 25. P. 1–65. DOI: https://doi.org/10.1016/S0065-2601(08)60281-6
Seta G. de, Pohjonen M., Knuutila A. (2024) Synthetic Ethnography: Field Devices for the Qualitative Study of Generative Models. Big Data & Society. Vol. 11. No. 4. P. 1–15. DOI: https://doi.org/10.1177/20539517241303126
Shin J., Hedderich M.A., Rey B.J., Lucero A., Oulasvirta A. (2024) Understanding Human–AI Workflows for Generating Personas. In: Proceedings of the 2024 ACM Designing Interactive Systems Conference (DIS ‘24). P. 757–781. DOI: https://doi.org/10.1145/3643834.3660729
Starovolsky-Shitrit A., Neduva A., Doron N.A., Daniel E., Tsur O. (2025) The Value of Nothing: Multimodal Extraction of Human Values Expressed by TikTok Influencers. arXiv preprint. P. 1–18. DOI: https://doi.org/10.48550/arXiv.2501.11770
Susnjak T., Hwang P., Reyes N., Barczak A.L.C., McIntosh T., Ranathunga S. (2025) Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning. ACM Transactions on Knowledge Discovery from Data. Vol. 19. No. 3. P. 1–39. DOI: https://doi.org/10.1145/3715964
Tosi D. (2025) Comparing Generative AI Literature Reviews Versus Human-led Systematic Literature Reviews: A Case Study on Big Data Research. IEEE Access. Vol. 13. P. 56210–56219. DOI: https://doi.org/10.1109/ACCESS.2025.3558096
Törnberg P. (2024) Best Practices for Text Annotation with Large Language Models. Sociologica. Vol. 18. No. 2. P. 67–85. DOI: https://doi.org/10.6092/issn.1971-8853/19461
Tsvetkova M., Yasseri T., Pescetelli N., Werner T. (2024) A New Sociology of Humans and Machines. Nature Human Behaviour. Vol. 8. P. 1864–1876. DOI: https://doi.org/10.1038/s41562-024-02001-8
Vigren M., Lozano Paredes L. (2026) Struggling With the Black Box: Mapping Bias and Agency in Using Generative Artificial Intelligence in Qualitative Method Development. Qualitative Inquiry. P. 1–12. DOI: https://doi.org/10.1177/10778004261434487
Wachinger J., Bärnighausen K., Schäfer L. N., Scott K., McMahon S.A. (2025) Prompts, Pearls, Imperfections: Comparing ChatGPT and a Human Researcher in Qualitative Data Analysis. Qualitative Health Research. Vol. 35. No. 9. P. 951–966. DOI: https://doi.org/10.1177/10497323241244669
Wang S. (2025) AI for Social Science: A Sociology PhD Candidate’s Autoethnography on How LLMs are Changing Research Work. AI Magazine. Vol. 46. No. 4. P. 1–9. DOI: https://doi.org/10.1002/aaai.70046
Wheeler K. (2025) How to Use Generative AI to Assist the Analysis of Qualitative Data [How-to Guide]. Sage Research Methods: Data and Research Literacy. In print. DOI: https://doi.org/10.4135/9781036217471
Wheeler K. (2026) Technological Reflexivity in Practice: How MAXQDA, NVivo, and ChatGPT Shape Qualitative Survey Analysis. Qualitative Research in Psychology. P. 1–27. DOI: https://doi.org/10.1080/14780887.2025.2602820
Witte J., Bayer S., Weber I. (2026) Use Cases for the Application of Generative Artificial Intelligence for Researchers: A Survey. HAL. P. 1–41.
Zhang L., Fan J., Wu Y. (2024) Review of Computer Vision Research in the Social Science Perspective: Theory, Methods, and Prospects. New Media & Network. Vol. 1. No. 2. P. 24–39.
Галкин К.А., Петухова И.С., Парфенова О.А. OPEN AI как помощник при анализе интервью // Социологические исследования. 2025. Т. 51. № 4. С. 105–116. DOI: https://doi.org/10.7868/S3034601025040095
Пчегатлук С.К., Косивченко Е.В. Искусственный интеллект в социологическом измерении // Гуманитарные, социально-экономические и общественные науки. 2024. № 6. С. 1–6. DOI: https://doi.org/10.24412/2220-2404-2024-6-34
Савинская О.Б. Применение ИИ для разработки категорий в качественном исследовании: что возможно в текущем моменте // Ойкумена. Регионоведческие исследования. 2025. Т. 19. № 3. С. 63–72. DOI: https://doi.org/10.63973/1998-6785/2025-3/63-72
Смирнов В.А. Генеративные нейронные сети в эмпирическом социологическом исследовании: возможности и ограничения // Ойкумена. Регионоведческие исследования. 2025. Т. 19. № 3. С. 52–62. DOI: https://doi.org/10.63973/1998-6785/2025-3/52-62
Хуснутдинова М., Баранова И., Зубова О. Искусственный интеллект в качественном анализе данных фокус-групп: сравнительное исследование ручного и автоматизированного подходов // Ойкумена. Регионоведческие исследования. 2025. Т. 19. № 3. С. 73–83. DOI: https://doi.org/10.63973/1998-6785/2025-3/73-83
Филипова А.Г., Абросимова Е.Е., Зубова О.Г. Метод синтетических фокус-групп в контексте цифровой трансформации социологического исследования // Социодинамика. 2025. № 5. С. 1–17. DOI: https://doi.org/10.25136/24097144.2025.5.74430 EDN: EUMCKL
Abramson C.M., Prendergast T., Li Z., Dohan D. (2026) Qualitative Research in an Era of AI: A Pragmatic Approach to Data Analysis, Workflow, and Computation. Annual Review of Sociology. P. 1–37. DOI: https://doi.org/10.48550/arXiv.2509.12503
Akpan I., Kobara Y., Owolabi J., Akpan A., Offodile O. (2025) Conversational and Generative Artificial Intelligence and Human-Chatbot Interaction in Education and Research. International Transactions in Operational Research. Vol. 32. No. 3. P. 1251–1281. DOI: https://doi.org/10.1111/itor.13522
Artz M. (2026) Multi-Agent Ethnography: Post-Conventional Anthropological Practice Through Human−AI Collaboration. Anthropological Forum. P. 1–19. DOI: https://doi.org/10.1080/00664677.2026.2614501
Bankovskaya S.P. (2017) Epistemological Premisses of Converting Video of Social Events into the Narrative. Interaction. Interview. Interpretation. Vol. 9. No. 13. P. 39–43.
Bolaños F., Salatino A., Osborne F., Motta E. (2024) Artificial Intelligence for Literature Reviews: Opportunities and Challenges. Scientometrics. Vol. 129. P. 258–315. DOI: https://doi.org/10.48550/arXiv.2402.08565
Cabanillas-García J.L., Sánchez-Gómez M.C., del Brío-Alonso I. (2025) Voices of Researchers: Ethics and Artificial Intelligence in Qualitative Inquiry. Information. Vol. 16. No. 11. P. 938. DOI: https://doi.org/10.3390/info16110938
Cappello F., Madireddy S., Underwood R., Getty N., Chia N.L.-P., Ramachandra N., Nguyen J., Keçeli M., Mallick T., Li Z., Ngom M., Zhang, C., Yanguas-Gil, A., Antoniuk E., Kailkhura B., Tian M., Du Y., Ting Y.-S., Wells A., Nicolae В., Maurya A., Rafique M.M., Huerta E., Li B., Foster I., Steven. (2025) EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants (Preprint). Argonne National Laboratory. P. 1–33. DOI: https://doi.org/10.48550/arXiv.2502.20309
Cardoso Sampaio R., Chagas V., Sinimbu Sanchez C., Gonçalves J., Borges T., Brum Alison M., Tigrinho C.S., Schwarzer Paz F. (2024) An Artificial Intelligence (AI)-Assisted Scoping Review of Emerging Uses of AI in Qualitative Research and Its Ethical Considerations. Revista Pesquisa Qualitativa. Vol. 12. No. 30. P. 1–28. DOI: https://doi.org/10.33361/RPQ.2024.v.12.n.30.729
Cook D.A., Ginsburg S., Sawatsky A.P., Kuper A., D’Angelo J.D. (2025) Artificial Intelligence to Support Qualitative Data Analysis: Promises, Approaches, Pitfalls. Academic Medicine. Vol. 100. No. 10. P. 1134–1149. DOI: https://doi.org/10.1097/ACM.0000000000006134
Costa A.P., Burneo Arteaga P., Kasperiuniene J. (2025) Mixed-Methods & AI for Methodological Literature Reviews. The Qualitative Report. Vol. 30. No. 10. P. 4515–4540. DOI: https://doi.org/10.46743/2160-3715/2025.8434
Çelik N. (2025) New Methodological Trends in Sociology: An Assessment of Recent Studies. Uluslararası Sosyal Bilimlerde Mükemmellik Arayışı Dergisi. Vol. 8. P. 44–59. DOI: https://doi.org/10.5281/zenodo.10444995
Davidson T. (2024) Start Generating: Harnessing Generative Artificial Intelligence for Sociological Research. Socius: Sociological Research for a Dynamic World. Vol. 10. P. 1–17. DOI: https://doi.org/10.1177/23780231241259651
Davison R.M., Chughtai H., Nielsen P., Marabelli M., Iannacci F., van Offenbeek M., Tarafdar M., Trenz M., Techatassanasoontorn A.A., Díaz Andrade A., Panteli N. (2024) The Ethics of Using Generative AI for Qualitative Data Analysis. Information Systems Journal. Vol. 34. P. 1433–1439. DOI: https://doi.org/10.1111/isj.12504
Dellafiore F., Saba A., Collaro C., Artioli G. (2025) Artificial Intelligence in Qualitative Research: Insights from Experts via Reflexive Thematic Analysis. Qualitative Health Research. Vol. 36. No. 2–3. P. 145–165. DOI: https://doi.org/10.1177/10497323251389800
Duke M.R. (2026) Artificial Intelligence and the End(s) of Qualitative Data Analysis. Human Organization. Vol. 85. No. 1. P. 8–10. DOI: https://doi.org/10.1080/00187259.2025.2546439
Ejjami R. (2024) Integrative Literature Review 5.0: Leveraging AI and Emerging Technologies to Redefine Academic Research. International Journal for Multidisciplinary Research. Vol. 6. No. 5. P. 1–32. DOI: https://doi.org/10.36948/ijfmr.2024.v06i05.28756
Eryaman M.Y. (2025) The Evolving Landscape of Qualitative Research: Exploring the Potential and Navigating the Challenges of Artificial Intelligence. International Journal of Qualitative Methods. Vol. 24. P. 1–3. DOI: https://doi.org/10.1177/16094069251400178
Franken L., Vepřek L.H. (2026) AI in and for Qualitative Research. Handbuch Soziale Praktiken und Digitale Alltagswelten. P. 581–589. DOI: https://doi.org/10.1007/978-3-658-44521-8_98
Fu X., Zhao L., Wang A. (2025) Intelligent Image Analysis Based on Multimodal Large Models: A Case Study of Visual Ethnography. Guangdong Social Sciences. No. 5. P. 180–192. DOI: https://doi.org/10.12451/202510.01699
Gao Y., Lee D., Burtch G., Fazelpour S. (2025) Take Caution in Using LLMs as Human Surrogates. Proceedings of the National Academy of Sciences. Vol. 122. No. 24. P. 1–10. DOI: https://doi.org/10.1073/pnas.2501660122
Garcia K., McMahon E., Conwell C., Bonner M.F., Isik L. (2024) Modeling Dynamic Social Vision Highlights Gaps Between Deep Learning and Humans. International Conference on Learning Representations (ICLR). P. 1–18. DOI: https://doi.org/10.31234/osf.io/4mpd9
Golann J.W., Bougher L., Hall R., Espenshade T.J. (2024) Sharing Big Video Data: Ethics, Methods, and Technology. Sociological Methods & Research. Vol. 55. No. 1. P. 1–33. DOI: https://doi.org/10.1177/00491241241277524
Grigoryan T. (2025) Weaving Meaning in the Digital Age: A Meta-Meta-Ethnography Enhanced by AI. WCF Education. Vol. 3. No. 1. P. 11–20. DOI: https://doi.org/10.33422/wcfeducation.v3i1.1317
Gu H., Chandrasegaran S., Lloyd P. (2025) Synthetic Users: Insights from Designers’ Interactions with Persona-Based Chatbots. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. Vol. 39. P. 1–17. DOI: https://doi.org/10.1017/S0890060424000283
Guo J., Fang H. (2025) Dialogues of Sense and Algorithm: Reconfiguring Arts-Based Research in the AI Era. Qualitative Inquiry. (Advance online publication). DOI: https://doi.org/10.1177/10778004251393201
Heuer H., Glassman, E.L. (2024) Reliability Criteria for News Websites. ACM Transactions on Computer-Human Interaction. Vol. 31. No. 2. P. 1–33. DOI: https://doi.org/10.1145/3635147
Hughes J., Homan L., O’Reilly M., Hughes K. (2025) AI Voice Methodology: Using Generative AI in Qualitative Social Research. Qualitative Inquiry. P. 1–18. DOI: https://doi.org/10.1177/10778004251401842
Jang K.M., Chen J., Kang Y., Kim J., Lee J., Duarte F., Ratti C. (2024) Place Identity: a Generative AI’s Perspective. Humanities and Social Sciences Communications. Vol. 11. No. 1. P. 635–650. DOI: https://doi.org/10.1057/s41599-024-03645-7
Jangi̇roğlu N., Küçük S. (2025) Recoding Reality: A Case Study of YouTube Reactions to Generative AI Videos. Systems. Vol. 13 No. 10. P. 1–38. DOI: https://doi.org/10.3390/systems13100925
Jarke J., Heuer H. (2024) Reassembling the Black Box of Machine Learning: Of Monsters and the Reversibility of Foldings. In: Algorithmic Regimes: Methods, Interactions, and Politics. Amsterdam: Amsterdam University Press. DOI: https://doi.org/10.2307/jj.11895528.7
Jarrahi M.H. (2025) Interviewing AI: Using Qualitative Methods to Explore and Capture Machines’ Characteristics and Behaviors. Big Data & Society. Vol. 12. No. 3. P. 1–15. DOI: https://doi.org/10.1177/20539517251381697
Jowsey T., Braun V., Clarke V., Lupton D., Fine M. (2025) We Reject the Use of Generative Artificial Intelligence for Reflexive Qualitative Research. Qualitative Inquiry. P. 1–5. DOI: https://doi.org/10.1177/10778004251401851
Kapania S., Agnew W., Eslami M., Heidari H., Fox S.E. (2025) “Simulacrum of Stories”: Examining Large Language Models as Qualitative Research Participants. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. P. 1–17. DOI: https://doi.org/10.1145/3706598.3713220
Kommers C., Hemment D., Antoniak M., Leibo J.Z., Long H., Robinson E., Sobey A. (2025) Meaning is Not a Metric: Using LLMs to Make Cultural Context Legible at Scale. arXiv preprint. P. 1–17. DOI: https://doi.org/10.48550/arXiv.2505.23785
Kong F., Zu W., Chen X., Yang Y., Zhu S.-C., Feng X. (2025) SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning. arXiv preprint. P. 1–25. DOI: https://doi.org/10.48550/arXiv.2506.05425
Krapp E., Neuhaus R., Hassenzahl M., Laschke M. (2024) In a Quasi-Social Relationship with ChatGPT. An Autoethnography on Engaging with Prompt-Engineered LLM Personas. Proceedings of the 13th Nordic Conference on Human-Computer Interaction. No. 79. P. 1–16. DOI: https://doi.org/10.1145/3679318.3685501
Kulkarni M., Cameron L.D., Gehman J., Glaser V.L., Greenwood M., Islam G., Lindebaum D., Mantere S., Pachidi S., Petriglieri G., Rahman H.A., Vaara E., van den Broek E. (2024) The Future of Research in an Artificial Intelligence-Driven World. Journal of Management Inquiry. Vol. 33. No. 3. P. 207–229. DOI: https://doi.org/10.1177/10564926231219622
Kvist Møller A.H., Airoldi M. (2025) With Eyes of a Machine: A Three-Step Guide for Applying Machine Learning to Visual Content Analysis in Social Research. Big Data and Society. Vol. 12. No. 2. P. 1–13. DOI: https://doi.org/10.1177/20539517251343860
Latinović B., Krčadinac O., Stanković Z., Stošić L. (2025) The Sociology of Artificial Intelligence Through the Lens of Ethics in the Digital Age. Journal of UUNT: Informatics and Computer Sciences. Vol. 2. No. 1. P. 1–8. DOI: https://doi.org/10.62907/juuntics250201001l
Levine M., Philpot R., Nightingale S.J., Kordoni A. (2024) Visual Digital Data, Ethical Challenges, and Psychological Science. American Psychologist. Vol. 79. No. 1. P. 109–122. DOI: https://doi.org/10.1037/amp0001192
Liu J., Su Y., Seth P. (2025) Can Large Language Models Grasp Concepts in Visual Content? A Case Study on YouTube Shorts about Depression. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25). No. 127. P. 1–11. DOI: https://doi.org/10.1145/3706599.3719821
Nicmanis M., Spurrier H. (2025) Getting Started with Artificial Intelligence Assisted Qualitative Analysis: An Introductory Guide to Qualitative Research Approaches with Exploratory Examples from Reflexive Content Analysis. International Journal of Qualitative Methods. Vol. 24. P. 1–14. DOI: https://doi.org/10.1177/16094069251354863
Malik F.S., Terzidis O. (2025) A Hybrid Framework for Creating Artificial Intelligence-Augmented Systematic Literature Reviews. Management Review Quarterly. P. 1–27. DOI: https://doi.org/10.1007/s11301-025-00522-8
Marciniak L. (2026) Two Decades of Reflection and Critique. The Continuous Fear of Replacement — The Renaissance of Feeling and Intuition in the Age of Artificial Intelligence in Qualitative Sociology Review (2005–2025). Qualitative Sociology Review. Vol. 22. No. 1. P. 6–22. DOI: https://doi.org/10.18778/1733-8077.22.1.01
Marshall D., Naff D.B. (2024) The Ethics of Using Artificial Intelligence in Qualitative Research. Journal of Empirical Research on Human Research Ethics. Vol. 19. No. 3. P. 92–102. DOI: https://doi.org/10.1177/15562646241262659
Messeri L., Crockett M.J. (2024) Artificial Intelligence and Illusions of Understanding in Scientific Research. Nature. Vol. 627. P. 49–58. DOI: https://doi.org/10.1038/s41586-024-07146-0
Messner R., Smith S., Richards C. (2025) Artificial Intelligence and Qualitative Data Analysis: Epistemological Incongruences and the Future of the Human Experience. International Journal of Qualitative Methods. Vol. 24. P. 1–13. DOI: https://doi.org/10.1177/16094069251371481
Müller S., Kempton A., Mønsted T. (2024) Is the Human Is Researcher Dead? Long Live the AI Researcher. Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS 2024). P. 207–216. DOI: https://doi.org/10.24251/HICSS.2024.025
Mozelius P., Humble N. (2024) On the Use of Generative AI for Literature Reviews: An Exploration of Tools and Techniques. Proceedings of the 23rd European Conference on Research Methodology for Business and Management Studies. Vol. 23. No. 1. P. 1–8. DOI: https://doi.org/10.34190/ecrm.23.1.2528
Pant A., Hoda R., Tantithamthavorn C., Turhan B. (2024) Ethics in AI through the Practitioner’s View: A Grounded Theory Literature Review. Empirical Software Engineering. Vol. 29. No. 3. P. 1–48. DOI: https://doi.org/10.1007/s10664-024-10465-5
Paulus T., Marone V. (2025) “In Minutes Instead of Weeks”: Discursive Constructions of Generative AI and Qualitative Data Analysis. Qualitative Inquiry. Vol. 31. No. 5. P. 395–402. DOI: https://doi.org/10.1177/10778004241250065
Paulus T., Lester J., Davis C. (2026) The Construction of the Role of AI in Qualitative Data Analysis in the Social Sciences. AI & Society. Vol. 41. P. 1737–1748. DOI: https://doi.org/10.1007/s00146-025-02488-3
Perkins M., Roe J. (2024) The use of Generative AI in Qualitative Analysis: Inductive Thematic Analysis with ChatGPT. Journal of Applied Learning and Teaching. Vol. 7. No. 1. P. 390–395. DOI: https://doi.org/10.37074/jalt.2024.7.1.22
Pink S. (2025) Artificial Intelligence and the Futures Turn: An Anticipatory Infrastructure for Qualitative Methods. Qualitative Research in Psychology. P. 1–20. DOI: https://doi.org/10.1080/14780887.2025.2570167
Retkowski F., Sudmann A., Waibel A. (2025) The AI Co-Ethnographer: How Far Can Automation Take Qualitative Research? In: Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities. Albuquerque: Association for Computational Linguistics. P. 73–90. DOI: https://doi.org/10.18653/v1/2025.nlp4dh-1.8
Roberts J., Baker M., Andrew J. (2024) Artificial Intelligence and Qualitative Research: The Promise and Perils of Large Language Model (LLM) “Assistance”. Critical Perspectives on Accounting. Vol. 99. P. 1–9. DOI: https://doi.org/10.1016/j.cpa.2024.102722
Schwartz S. (1992) Universals in the Content and Structure of Values: Theoretical Advances and Empirical Tests in 20 Countries. Advances in Experimental Social Psychology. Vol. 25. P. 1–65. DOI: https://doi.org/10.1016/S0065-2601(08)60281-6
Seta G. de, Pohjonen M., Knuutila A. (2024) Synthetic Ethnography: Field Devices for the Qualitative Study of Generative Models. Big Data & Society. Vol. 11. No. 4. P. 1–15. DOI: https://doi.org/10.1177/20539517241303126
Shin J., Hedderich M.A., Rey B.J., Lucero A., Oulasvirta A. (2024) Understanding Human–AI Workflows for Generating Personas. In: Proceedings of the 2024 ACM Designing Interactive Systems Conference (DIS ‘24). P. 757–781. DOI: https://doi.org/10.1145/3643834.3660729
Starovolsky-Shitrit A., Neduva A., Doron N.A., Daniel E., Tsur O. (2025) The Value of Nothing: Multimodal Extraction of Human Values Expressed by TikTok Influencers. arXiv preprint. P. 1–18. DOI: https://doi.org/10.48550/arXiv.2501.11770
Susnjak T., Hwang P., Reyes N., Barczak A.L.C., McIntosh T., Ranathunga S. (2025) Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning. ACM Transactions on Knowledge Discovery from Data. Vol. 19. No. 3. P. 1–39. DOI: https://doi.org/10.1145/3715964
Tosi D. (2025) Comparing Generative AI Literature Reviews Versus Human-led Systematic Literature Reviews: A Case Study on Big Data Research. IEEE Access. Vol. 13. P. 56210–56219. DOI: https://doi.org/10.1109/ACCESS.2025.3558096
Törnberg P. (2024) Best Practices for Text Annotation with Large Language Models. Sociologica. Vol. 18. No. 2. P. 67–85. DOI: https://doi.org/10.6092/issn.1971-8853/19461
Tsvetkova M., Yasseri T., Pescetelli N., Werner T. (2024) A New Sociology of Humans and Machines. Nature Human Behaviour. Vol. 8. P. 1864–1876. DOI: https://doi.org/10.1038/s41562-024-02001-8
Vigren M., Lozano Paredes L. (2026) Struggling With the Black Box: Mapping Bias and Agency in Using Generative Artificial Intelligence in Qualitative Method Development. Qualitative Inquiry. P. 1–12. DOI: https://doi.org/10.1177/10778004261434487
Wachinger J., Bärnighausen K., Schäfer L. N., Scott K., McMahon S.A. (2025) Prompts, Pearls, Imperfections: Comparing ChatGPT and a Human Researcher in Qualitative Data Analysis. Qualitative Health Research. Vol. 35. No. 9. P. 951–966. DOI: https://doi.org/10.1177/10497323241244669
Wang S. (2025) AI for Social Science: A Sociology PhD Candidate’s Autoethnography on How LLMs are Changing Research Work. AI Magazine. Vol. 46. No. 4. P. 1–9. DOI: https://doi.org/10.1002/aaai.70046
Wheeler K. (2025) How to Use Generative AI to Assist the Analysis of Qualitative Data [How-to Guide]. Sage Research Methods: Data and Research Literacy. In print. DOI: https://doi.org/10.4135/9781036217471
Wheeler K. (2026) Technological Reflexivity in Practice: How MAXQDA, NVivo, and ChatGPT Shape Qualitative Survey Analysis. Qualitative Research in Psychology. P. 1–27. DOI: https://doi.org/10.1080/14780887.2025.2602820
Witte J., Bayer S., Weber I. (2026) Use Cases for the Application of Generative Artificial Intelligence for Researchers: A Survey. HAL. P. 1–41.
Zhang L., Fan J., Wu Y. (2024) Review of Computer Vision Research in the Social Science Perspective: Theory, Methods, and Prospects. New Media & Network. Vol. 1. No. 2. P. 24–39.
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Опубликована: 03.07.2026
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Баньковская, С. П., & Идоленко, В. В. (2026). Искусственный интеллект и видеоанализ в качественной социологии: обзор новейших исследований. Интеракция. Интервью. Интерпретация, 18(2), 161-179. https://doi.org/10.19181/inter.2026.18.2.3
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