Text Analytics Approach to Examining Corporate Social Responsibility

Asian Journal of Accounting and Governance, Vol. 11:85-96

19 Pages Posted: 18 Jun 2019

See all articles by Nurul Asyikeen Azhar

Nurul Asyikeen Azhar

affiliation not provided to SSRN

Gary Pan

Singapore Management University - School of Accountancy

Poh-Sun Seow

Singapore Management University - School of Accountancy

Andrew Koh

Singapore Management University - School of Information Systems

Wan-Ying Tay

affiliation not provided to SSRN

Date Written: April 1, 2019

Abstract

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

Keywords: Corporate social responsibility; news; content analysis; collaborative network; Singapore Exchange

Suggested Citation

Azhar, Nurul Asyikeen and Pan, Gary and Seow, Poh-Sun and Koh, Andrew and Tay, Wan-Ying, Text Analytics Approach to Examining Corporate Social Responsibility (April 1, 2019). Asian Journal of Accounting and Governance, Vol. 11:85-96. Available at SSRN: https://ssrn.com/abstract=3392876

Nurul Asyikeen Azhar

affiliation not provided to SSRN

Gary Pan

Singapore Management University - School of Accountancy ( email )

60 Stamford Road
Singapore 178900
Singapore

Poh-Sun Seow

Singapore Management University - School of Accountancy ( email )

60 Stamford Road
Singapore, 178900
Singapore

HOME PAGE: http://accountancy.smu.edu.sg/faculty/profile/76099/SEOW-Poh-Sun

Andrew Koh (Contact Author)

Singapore Management University - School of Information Systems ( email )

80 Stamford Road
Singapore, 178902
Singapore

Wan-Ying Tay

affiliation not provided to SSRN

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