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Putting the AI into social science
13 references·0 citing·38 second hop
Putting the AI into social science (2023)Putting the AI into social scienceHow human–AI feedback loops alter human perceptual, emotional and social judgements (2024)How human–AI feedback loops a…Utilizing AI questionnaire translations in cross-cultural and intercultural research: Insights and recommendations (2023)Utilizing AI questionnaire tr…Should ChatGPT be biased? Challenges and risks of bias in large language models (2023)Should ChatGPT be biased? Cha…Out of One, Many: Using Language Models to Simulate Human Samples (2023)Out of One, Many: Using Langu…ChatGPT outperforms crowd workers for text-annotation tasks (2023)ChatGPT outperforms crowd wor…Can Large Language Models Transform Computational Social Science? (2023)Can Large Language Models Tra…Automated Annotation with Generative AI Requires Validation (2023)Automated Annotation with Gen…If You Have Choices, Why Not Choose (and Share) All of Them? A Multiverse Approach to Understanding News Engagement on Social Media (2022)If You Have Choices, Why Not …After the ‘APIcalypse’: social media platforms and their fight against critical scholarly research (2019)After the ‘APIcalypse’: socia…Computational Research in the Post-API Age (2018)Computational Research in the…Computational Social Science Methodology, Anyone? (2017)Computational Social Science …synthpop : Bespoke Creation of Synthetic Data in R (2016)synthpop : Bespoke Creation o…The psychology of science: a reconnaissance (1966)The psychology of science: a …Experimental evidence of massive-scale emotional contagion through social networks (2014)Programmed method: developing a toolset for capturing and analyzing tweets (2014)Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence (2020)Social Media and Democracy (2020)Big Data's Disparate Impact (2014)Semantics derived automatically from language corpora contain human-like biases (2017)Uncivil Agreement (2017)Can AI language models replace human participants? (2023)Artificial intelligence and illusions of understanding in scientific research (2024)Back-Translation for Cross-Cultural Research (1970)Universals in the Content and Structure of Values: Theoretical Advances and Empirical Tests in 20 Countries (1992)Differences Between Tight and Loose Cultures: A 33-Nation Study (2011)An AI-powered research assistant in the lab: A practical guide for text analysis through iterative collaboration with LLMs (2026)Re‐Imagining the Epistemic Possibilities of GPT for Public Administration Research in Competitive Settings (2026)Language and Symbolic Power. (1992)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond (2024)Factuality challenges in the era of large language models and opportunities for fact-checking (2024)GenAI against humanity: nefarious applications of generative artificial intelligence and large language models (2024)The Structure of Scientific Revolutions (1963)Framing: Toward Clarification of a Fractured Paradigm (1993)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)On the social psychology of the psychological experiment: With particular reference to demand characteristics and their implications. (1962)Thinking, Fast and Slow (2011)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Mapping the regulatory landscape of AI in healthcare in Africa (2023)Unveiling trust in AI: the interplay of antecedents, consequences, and cultural dynamics (2025)Sycophantic AI decreases prosocial intentions and promotes dependence (2026)Toward the delineation of therapeutic change principles. (1980)Some guidelines for the phenomenological analysis of interview data (1985)Positive Organizational Scholarship (2006)Using 26,000 diary entries to show ovulatory changes in sexual desire and behavior. (2018)The Role of Personality in COVID-19-Related Perceptions, Evaluations, and Behaviors: Findings Across Five Samples, Nine Traits, and 17 Criteria (2021)REFORMS: Consensus-based Recommendations for Machine-learning-based Science (2024)Social Media, Echo Chambers, and Political Polarization (2020)Can Generative AI improve social science? (2024)Durably reducing conspiracy beliefs through dialogues with AI (2024)
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References

  • 2023ChatGPT outperforms crowd workers for text-annotation tasks1,193 cited
  • 2023Out of One, Many: Using Language Models to Simulate Human Samples774 cited
  • 1966The psychology of science: a reconnaissance726 cited
  • 2023Can Large Language Models Transform Computational Social Science?582 cited
  • 2016synthpop : Bespoke Creation of Synthetic Data in R408 cited
  • 2019After the ‘APIcalypse’: social media platforms and their fight against critical scholarly research406 cited
  • 2018Computational Research in the Post-API Age334 cited
  • 2024How human–AI feedback loops alter human perceptual, emotional and social judgements283 cited
  • 2023Should ChatGPT be biased? Challenges and risks of bias in large language models282 cited
  • 2023Utilizing AI questionnaire translations in cross-cultural and intercultural research: Insights and recommendations71 cited
  • 2023Automated Annotation with Generative AI Requires Validation47 cited
  • 2017Computational Social Science Methodology, Anyone?33 cited
  • 2022If You Have Choices, Why Not Choose (and Share) All of Them? A Multiverse Approach to Understanding News Engagement on Social Media19 cited

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