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BISAC SOC024000
Current paper · Semantic Scholar
Synthetic Data Quality Evaluation in Generative AI: Current Trends, Challenges, and Future Directions for Social Science ResearchGenerative Artificial Intelligence (GenAI) has transformed data generation through advanced models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, and Large Language Models (LLMs), enabling the creation of synthetic datasets that closely resemble real-world data while addressing challenges related to privacy, accessibility, and regulatory compliance. As synthetic da…
Book · DOAB
AI in Social Sciences ResearchAI 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 ke…
Full text · Open Library
The Sage encyclopedia of social science research methods"The first encyclopedia to cover inclusively both quantitative and qualitative research approaches, this set provides clear explanations of 1,000 methodologies, avoiding mathematical equations when possible with liberal cross-referencing and bibliographies. Each volume includes a list of works cited, and the third contains a comprehensive index and lists of person names, organizations, books, tests, software, major …
Image · DPLA
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