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Open AccessArticle

Corporate Social Responsibility (CSR): A Survey of Topics and Trends Using Twitter Data and Topic Modeling

1
Department of Management, Kansas State University, Manhattan, KS 66506, USA
2
Department of Hospitality Management, Kansas State University, Manhattan, KS 66506, USA
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(7), 2231; https://doi.org/10.3390/su10072231
Received: 27 May 2018 / Revised: 23 June 2018 / Accepted: 26 June 2018 / Published: 28 June 2018
(This article belongs to the Special Issue Toward Sustainability: Supply Chain Collaboration and Governance)
Corporate social responsibility (CSR) is an essential business practice in industry and a popular topic in academic research. Several studies have attempted to understand topics or categories in CSR contexts and some have used qualitative techniques to analyze data from traditional communication channels such as corporate reports, newspapers, and websites. This study adopts computational content analysis for understanding themes or topics from CSR-related conversations in the Twitter-sphere, the largest microblogging social media platform. Specifically, a probabilistic topic modeling-based computational text analysis framework is introduced to answer three questions: (1) What CSR-related topics are being communicated in the Twitter-sphere and what are the prevalent topics or themes in CSR conversation? (topic prevalence); (2) How are those topics interrelated? (topic correlation); (3) How have those topics changed over time? (topic evolution). The topic modeling results are discussed, and the direction for future research is presented. View Full-Text
Keywords: corporate social responsibility; topic modeling; Twitter; sustainability corporate social responsibility; topic modeling; Twitter; sustainability
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MDPI and ACS Style

Chae, B.K.; Park, E.O. Corporate Social Responsibility (CSR): A Survey of Topics and Trends Using Twitter Data and Topic Modeling. Sustainability 2018, 10, 2231.

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