Text analytics approach to examining corporate social responsibility
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...
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sg-smu-ink.sis_research-53782021-06-07T06:10:07Z Text analytics approach to examining corporate social responsibility AZHAR, Nurul Asyikeen Binte PAN, Gary SEOW, Poh Sun KOH, Andrew TAY, Wan Ying 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. 2019-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4375 https://ink.library.smu.edu.sg/context/sis_research/article/5378/viewcontent/Text_Analytics_Approach_CSR_2019_afv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Corporate social responsibility news content analysis collaborative network Singapore Exchange MITB student Accounting Asian Studies Business Law, Public Responsibility, and Ethics |
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Corporate social responsibility news content analysis collaborative network Singapore Exchange MITB student Accounting Asian Studies Business Law, Public Responsibility, and Ethics AZHAR, Nurul Asyikeen Binte PAN, Gary SEOW, Poh Sun KOH, Andrew TAY, Wan Ying Text analytics approach to examining corporate social responsibility |
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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. |
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AZHAR, Nurul Asyikeen Binte PAN, Gary SEOW, Poh Sun KOH, Andrew TAY, Wan Ying |
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AZHAR, Nurul Asyikeen Binte PAN, Gary SEOW, Poh Sun KOH, Andrew TAY, Wan Ying |
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AZHAR, Nurul Asyikeen Binte |
title |
Text analytics approach to examining corporate social responsibility |
title_short |
Text analytics approach to examining corporate social responsibility |
title_full |
Text analytics approach to examining corporate social responsibility |
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Text analytics approach to examining corporate social responsibility |
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Text analytics approach to examining corporate social responsibility |
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text analytics approach to examining corporate social responsibility |
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Institutional Knowledge at Singapore Management University |
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2019 |
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https://ink.library.smu.edu.sg/sis_research/4375 https://ink.library.smu.edu.sg/context/sis_research/article/5378/viewcontent/Text_Analytics_Approach_CSR_2019_afv.pdf |
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