Corporate Social Responsibility (CSR): A Survey of Topics and Trends Using Twitter Data and Topic Modeling
Bongsug (Kevin) Chae () and
Eunhye (Olivia) Park ()
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Bongsug (Kevin) Chae: Department of Management, Kansas State University, Manhattan, KS 66506, USA
Eunhye (Olivia) Park: Department of Hospitality Management, Kansas State University, Manhattan, KS 66506, USA
Sustainability, 2018, vol. 10, issue 7, 1-20
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.
Keywords: corporate social responsibility; topic modeling; Twitter; sustainability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:7:p:2231-:d:155138
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