Singapore Management University
School of Information Systems
80 Stamford Rd
Singapore 178902
Singapore Management University
School of Accountancy
60 Stamford Road
Singapore 178900
Singapore Management University
School of Accountancy
60 Stamford Road
Singapore 178900
Singapore Management University
School of Information Systems
80 Stamford Rd
Singapore 178902
Singapore Management University
School of Information Systems
80 Stamford Rd
Singapore 178902
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.