Artificial Intelligence (AI) in Social Research
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Artificial Intelligence (AI) in Social Research
Christodoulou, Christos; Edwards, Jacqueline; Christou, Dr Prokopis A; Costa, Pedro Antonio; Hristov, Dr Alexander N; Burneo, Pablo; Antoniadou, Annita; Christou, Dr Prokopis A; Armstrong, Ann; Avloniti, Anthi
CABI Publishing
03/2025
240
Dura
Inglês
9781800626584
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Chapter 1: Introducing "Artificial Intelligence (AI) in Social Research PART A: AI and Social Research Implications Chapter 2: The Interconnection of AI and Social Research Chapter 3: Using Generative AI for Creativity and Automating Time-consuming Tasks in Research Chapter 4: Expanding the Frontiers: Revolutionizing Quantitative Data Analysis in Social Sciences with AI Expanding the Frontiers: Revolutionizing Quantitative Data Analysis in Social Sciences with AI Chapter 5: Using AI Agents in Quantitative Social Research Chapter 6: AI Augmented Qualitative Analysis: Is it the Right Choice for your Study? Chapter 7: Generative AI: A Catalyst for Paradigmatic Change in Qualitative Data Analysis Chapter 8: A Guide for Qualitative Researchers Using Large Language Models with Representative Examples Using ChatGPT Chapter 9: AI in Ethnography - Challenges and Collaborations Chapter 10: Exploring Research Design in the Context of Artificial Intelligence: Evidence-based Recommendations for Social Research and Practice PART B: AI and Social Research Rigor, Bias, and Ethical Considerations Chapter 11: Machine Learning Bias: Genealogy, Expression and Prevention Chapter 12: Rigor in Qualitative and Quantitative Studies that Make Use of AI Tools: Reliability, Validity, Credibility, Transferability, Dependability, and Confirmability Issues Chapter 13: The Ethical Implications of Using AI in Qualitative Research PART C: AI and research within various social contexts, and case studies Chapter 14: Precision Nudging: The Future of Behaviour Change Chapter 15: Competence Frameworks for Exploring Generative AI in Education Chapter 16: Data Collection Methods in the Age of Artificial Intelligence: Insights From a Survey-based Study on College Students' Perceptions and Use of AI Chapter 17: Artificial Intelligence and International Business Chapter 18: AI Systems Employed in Archaeological Research for Ancient Artefacts - A Dilemma Conclusion: Conclusion
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AI and social research change; Research design and AI; AI and ontological perspectives; AI and epistemological perspectives; Conducting literature reviews using AI; conceptual papers using AI; formulating propositions with AI; formulating hypotheses with AI; Data collection methods and AI systems; AI and data analysis; AI analysis techniques and methods; Interpretation of outcomes produced by AI tools; AI and ethical considerations in social research; Sociology research; psychology research; anthropology research; economics research; political sciences research; communication studies research; public health research; geography research; gender studies research
Chapter 1: Introducing "Artificial Intelligence (AI) in Social Research PART A: AI and Social Research Implications Chapter 2: The Interconnection of AI and Social Research Chapter 3: Using Generative AI for Creativity and Automating Time-consuming Tasks in Research Chapter 4: Expanding the Frontiers: Revolutionizing Quantitative Data Analysis in Social Sciences with AI Expanding the Frontiers: Revolutionizing Quantitative Data Analysis in Social Sciences with AI Chapter 5: Using AI Agents in Quantitative Social Research Chapter 6: AI Augmented Qualitative Analysis: Is it the Right Choice for your Study? Chapter 7: Generative AI: A Catalyst for Paradigmatic Change in Qualitative Data Analysis Chapter 8: A Guide for Qualitative Researchers Using Large Language Models with Representative Examples Using ChatGPT Chapter 9: AI in Ethnography - Challenges and Collaborations Chapter 10: Exploring Research Design in the Context of Artificial Intelligence: Evidence-based Recommendations for Social Research and Practice PART B: AI and Social Research Rigor, Bias, and Ethical Considerations Chapter 11: Machine Learning Bias: Genealogy, Expression and Prevention Chapter 12: Rigor in Qualitative and Quantitative Studies that Make Use of AI Tools: Reliability, Validity, Credibility, Transferability, Dependability, and Confirmability Issues Chapter 13: The Ethical Implications of Using AI in Qualitative Research PART C: AI and research within various social contexts, and case studies Chapter 14: Precision Nudging: The Future of Behaviour Change Chapter 15: Competence Frameworks for Exploring Generative AI in Education Chapter 16: Data Collection Methods in the Age of Artificial Intelligence: Insights From a Survey-based Study on College Students' Perceptions and Use of AI Chapter 17: Artificial Intelligence and International Business Chapter 18: AI Systems Employed in Archaeological Research for Ancient Artefacts - A Dilemma Conclusion: Conclusion
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
AI and social research change; Research design and AI; AI and ontological perspectives; AI and epistemological perspectives; Conducting literature reviews using AI; conceptual papers using AI; formulating propositions with AI; formulating hypotheses with AI; Data collection methods and AI systems; AI and data analysis; AI analysis techniques and methods; Interpretation of outcomes produced by AI tools; AI and ethical considerations in social research; Sociology research; psychology research; anthropology research; economics research; political sciences research; communication studies research; public health research; geography research; gender studies research
