Text analytics approach to examining corporate social responsibility
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2019
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| Online Access: | http://journalarticle.ukm.my/15298/ http://journalarticle.ukm.my/15298/1/25077-100815-2-PB.pdf |
| _version_ | 1848813765069373440 |
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| author | Nurul Asyikeen Azhar, Pan, Gary Seow, Poh Sun Koh, Andrew Tay, Wan Ying |
| author_facet | Nurul Asyikeen Azhar, Pan, Gary Seow, Poh Sun Koh, Andrew Tay, Wan Ying |
| author_sort | Nurul Asyikeen Azhar, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T00:23:23Z |
| format | Article |
| id | oai:generic.eprints.org:15298 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:23:23Z |
| publishDate | 2019 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:152982020-09-30T07:01:37Z http://journalarticle.ukm.my/15298/ Text analytics approach to examining corporate social responsibility Nurul Asyikeen Azhar, Pan, Gary Seow, Poh Sun Koh, Andrew Tay, Wan Ying 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. Penerbit Universiti Kebangsaan Malaysia 2019 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/15298/1/25077-100815-2-PB.pdf 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 http://ejournal.ukm.my/ajac/issue/view/1184 |
| spellingShingle | Nurul Asyikeen Azhar, Pan, Gary Seow, Poh Sun Koh, Andrew Tay, Wan Ying Text analytics approach to examining corporate social responsibility |
| title | Text analytics approach to examining corporate social responsibility |
| title_full | Text analytics approach to examining corporate social responsibility |
| title_fullStr | Text analytics approach to examining corporate social responsibility |
| title_full_unstemmed | Text analytics approach to examining corporate social responsibility |
| title_short | Text analytics approach to examining corporate social responsibility |
| title_sort | text analytics approach to examining corporate social responsibility |
| url | http://journalarticle.ukm.my/15298/ http://journalarticle.ukm.my/15298/ http://journalarticle.ukm.my/15298/1/25077-100815-2-PB.pdf |