Publication Type

Journal Article

Version

publishedVersion

Publication Date

4-2019

Abstract

This research article explores a text analyticsapproach to assess the prominence of corporate social responsibility in 554Singapore-listed firms through a content analysis of the news. Instead ofrelying on publications by the firms, third-party news coverage is used toreduce potential biases due to over-reporting. A dataset of news articles onthe included firms published during fiscal years 2015 and 2016 is crawled, andthe articles’ content is parsed to search for information related to corporatesocial responsibility. Graph theory is subsequently used to create acollaborative network of listed firms’ corporate social responsibilityactivities. The results highlight a more automated and scalable means ofassessing the prominence of corporate social responsibility, as well aspotential “influencers” within the corporate landscape.

Keywords

Corporate social responsibility, news, content analysis, collaborative network, Singapore Exchange, MITB student

Discipline

Accounting | Asian Studies | Business Law, Public Responsibility, and Ethics

Research Areas

Corporate Governance, Auditing and Risk Management

Publication

Asian Journal of Accounting and Governance

Volume

11

First Page

1

Last Page

19

ISSN

2180-3838

Publisher

Penerbit Universiti Kebangsaan Malaysia,National University of Malaysia Press

Copyright Owner and License

Authors

Additional URL

http://ejournal.ukm.my/ajac/article/view/25077

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