Web-Crawling Architecture in Accounting and Finance Research

Junru Zhang, Yuan George Shan, Fei Peng

Research output: Contribution to journalArticlepeer-review

1 Citation (Web of Science)

Abstract

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
Pages (from-to)875-887
Number of pages13
JournalJournal of Computer Information Systems
Volume62
Issue number5
Early online date11 Jun 2021
DOIs
Publication statusPublished - 2022

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