Web-Crawling Architecture in Accounting and Finance Research

Junru Zhang, Yuan George Shan, Fei Peng

Research output: Contribution to journalArticlepeer-review


We examine the practice of web-crawling architecture through two logics: combinational logic (CL) and sequential logic (SL) and adopt a test ground on the relationship between price informativeness and corporate social responsibility (CSR) news releases among publicly listed former unicorns. Our results show that the CL approach is more optimal than the SL approach regarding time consumption, storage efficiency and data accuracy, which suggest that CSR media exposures have substantial influence on price informativeness. Both positive (optimistic) and negative (pessimistic)-toned CSR information increases price informativeness. We find that the Diction wordlist displays higher classification accuracy when analyzing CSR news release.
Original languageEnglish
JournalJournal of Computer Information Systems
Publication statusE-pub ahead of print - 11 Jun 2021


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