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Generative AI has lowered the barriers to computational social sciences

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arxiv 2311.10833 v2 pith:YWI5OANE submitted 2023-11-17 cs.HC cs.CY

classification cs.HCcs.CY
keywords socialgenerativecomputationaldatascientistsabilityaccessibleanalysis
verification ladder T0 review T1 audit T2 compute T3 formal
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Generative artificial intelligence (AI) has revolutionized the field of computational social science (CSS), unleashing new possibilities for collecting and analyzing multimodal data, especially for scholars who may not have extensive programming expertise. This breakthrough carries profound implications for social scientists. First, generative AI can significantly enhance the productivity of social scientists by automating the generation, annotation, and debugging of code. Second, it empowers researchers to delve into sophisticated data analysis through the innovative use of prompt engineering. Last, the educational sphere of CSS stands to benefit immensely from these tools, given their exceptional ability to annotate and elucidate complex codes for learners, thereby simplifying the learning process and making the technology more accessible.

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Cited by 1 Pith paper

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  1. Social Scientists on the Role of AI in Research

    cs.CY 2025-06 conditional novelty 6.0 of 10

    Randomized survey wording makes social scientists report more familiarity but less trust in "AI" than in "machine learning", with ethical concerns concentrated on generative AI.

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