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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Main Authors: AZHAR, Nurul Asyikeen Binte, PAN, Gary, SEOW, Poh Sun, KOH, Andrew, TAY, Wan Ying
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access: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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Institution: Singapore Management University
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spelling 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
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Corporate social responsibility
news
content analysis
collaborative network
Singapore Exchange
MITB student
Accounting
Asian Studies
Business Law, Public Responsibility, and Ethics
spellingShingle 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
description 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.
format text
author AZHAR, Nurul Asyikeen Binte
PAN, Gary
SEOW, Poh Sun
KOH, Andrew
TAY, Wan Ying
author_facet AZHAR, Nurul Asyikeen Binte
PAN, Gary
SEOW, Poh Sun
KOH, Andrew
TAY, Wan Ying
author_sort 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
title_fullStr Text analytics approach to examining corporate social responsibility
title_full_unstemmed Text analytics approach to examining corporate social responsibility
title_sort text analytics approach to examining corporate social responsibility
publisher Institutional Knowledge at Singapore Management University
publishDate 2019
url 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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