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AI in Social Sciences Research

AI in Social Sciences Research explains how artificial intelligence (AI) is reshaping social inquiry, from data collection and research design through analysis, interpretation, and theory-building. Treating AI as both a tool kit and a methodological shift, the volume offers a clear route into machin...

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Main Authors: Sułkowski, Łukasz, Lis, Marcin, Ratajczak, Sabina, Dacko-Pikiewicz, Zdzisława
Formato: Online
Idioma:inglés
Publicado: Taylor & Francis 2026
Subjects:
Computational social science
Digital ethnography
Research ethics in AI
Algorithmic bias
Qualitative data analysis
Interdisciplinary methodology
Responsible AI for social research
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
Acceso en liña:ONIX_20260621T103021_9781040960783_23
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Summary:AI in Social Sciences Research explains how artificial intelligence (AI) is reshaping social inquiry, from data collection and research design through analysis, interpretation, and theory-building. Treating AI as both a tool kit and a methodological shift, the volume offers a clear route into machine learning (ML), natural language processing (NLP), simulation, and generative AI (GAI) for social researchers while keeping ethics, bias, transparency, and interpretability in view. Designed for postgraduate students, early-career researchers, and instructors teaching digital and computational social science (CSS) methods, the book supports readers who want to use AI with methodological care, not just technical speed.

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