Data-driven analysis and prediction of norm acceptance
نویسندگان
چکیده
Abstract That norms matter for politics is a widely shared observation. Existing political science research on norm diffusion, localization, and contestations is, however, constrained due to methodological manageability of empirical data. To face this challenge, we propose an interdisciplinary collaboration between computer science. Using the show case energy politics, want conduct unsupervised semi-supervised content analysis fusion with help automated text mining methods analyze influence different types so-called entrepreneurs public acceptance and, respectively, policies.
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ژورنال
عنوان ژورنال: Informatik Spektrum
سال: 2022
ISSN: ['0170-6012', '1432-122X']
DOI: https://doi.org/10.1007/s00287-022-01472-1