Big Data and CSR Communication

Ramón Reichert ()
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Ramón Reichert: Vienna University

A chapter in Handbook of Integrated CSR Communication, 2017, pp 211-224 from Springer

Abstract: Abstract This chapter discusses corporate social responsibility (CSR) in the area of digital media culture. Social media networks and online platforms are massive data collectors and have become the most important data source for collecting statistical data social large amount of data (i.e. big data) can be generated from all online communication. These data are, for example, used to identify moods and trends. Big data research has become very diversified in the past years by using machine-based processes for computer-based social media analysis. This article first summarizes current research on social networks, online communication and big data. Then three case studies are presented, focusing on (1) health monitoring and big data aggregated from Google search and social media monitoring, (2) Facebook data research and the analysis of data structures generated from this social network, and (3) big data research on Twitter. Finally, future developments, challenges and implications with regards to health communication, communication management and CSR are discussed.

Keywords: Corporate Social Responsibility; Corporate Social Responsibility Activity; National Happiness; Digital Method; Social Media Data (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:csrchp:978-3-319-44700-1_12

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DOI: 10.1007/978-3-319-44700-1_12

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