Articlegold2018

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

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Computational and Text Analysis Methods Corporate Social Responsibility Reporting Corporate Social Responsibility and Sustainability

Abstract

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.

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1979A Three-Dimensional Conceptual Model of Corporate Performance 1991The pyramid of corporate social responsibility: Toward the moral management of organizational stakeholders 1999Corporate Social Responsibility 2006How corporate social responsibility is defined: an analysis of 37 definitions 2004Corporate Social Responsibility Theories: Mapping the Territory 2010The Business Case for Corporate Social Responsibility: A Review of Concepts, Research and Practice 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts 2014Structural Topic Models for Open‐Ended Survey Responses

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