Feature lexicon for CDR

Based on the structural framework of corpotare digital responsibility(CDR), a multi-dimensional index based feature lexicon of CDR is constructed to provide a core concept measurement basis for promoting theoretical research on CDR. The first step is to extract seed vocabulary. Screening CDR related highly cited literature and CSSCI indexed literature published between 2015 and 2025 from China National Knowledge Infrastructure (CNKI) and Web of Science databases, extracting representative high-frequency terms, and obtaining a preliminary batch of core vocabulary as seed words. The second step is semantic extension and regulatory comparison. Screen national level policy documents and research reports released from the Peking University Treasure Database between 2015 and 2025, further expand the semantics of seed words and compare them with scenarios to ensure that the word library covers real and visible expressions of responsible behavior in enterprise practice, and reduce vocabulary bias limited to academic expression. The third step is corpus processing and word frequency screening. Use Python's "Jieba" word segmentation package to perform batch segmentation processing on the above corpus, and combine stop word filtering to construct a preliminary word list. Then, through word frequency statistics, select effective terms with significant frequency in policy text and annual report corpus, forming a feature word library for CDR. To enhance the structural and explanatory power of measurement, combined with the framework of CDR structure, feature words are further subdivided into five dimensions. This vocabulary includes a total of 100 CDR related feature words.