Text analytics approach to examining corporate social responsibility

Nurul Asyikeen Azhar, and Pan, Gary and Seow, Poh Sun and Koh, Andrew and Tay, Wan Ying (2019) Text analytics approach to examining corporate social responsibility. Asian Journal of Accounting and Governance, 11 . pp. 85-96. ISSN 2180-3838

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Official URL: http://ejournal.ukm.my/ajac/issue/view/1184

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.

Item Type:Article
Keywords:Corporate social responsibility; News; Content analysis; Collaborative network; Singapore exchange
Journal:Asian Journal of Accounting and Governance
ID Code:15298
Deposited By: ms aida -
Deposited On:24 Sep 2020 00:56
Last Modified:30 Sep 2020 07:01

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