Analysis of Social Media Data: An Introduction to the Characteristics and Chronological Process

  • Pai-Lin Chen
  • Yu-Chung Cheng
  • Kung Chen
Part of the Computational Social Sciences book series (CSS)


A means toward understanding the problems facing today’s social scientists is through the analysis of social media data. This analysis is approached by forecasting and analyzing phenomena within social media generated big data. The approach demands interdisciplinary teamwork between the data sciences and other disciplines. The aforementioned is still an emerging discourse, thereby demanding the ongoing devotion of researchers in allied disciplines. This chapter seeks to describe the characteristics, elements, and the chronological process of analyzing social media data from a mass communication scholar’s perspective. It aims to present the chronological process in which a researcher deals with social media data in the form of case studies, and how that researcher deals with the social data regarding the study’s posed question.


Social media Digital footprints Social big data Data analytics Computational thinking 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Pai-Lin Chen
    • 1
  • Yu-Chung Cheng
    • 2
  • Kung Chen
    • 3
  1. 1.College of CommunicationNational Chengchi UniversityTaipeiTaiwan
  2. 2.Hsuan Chuang UniversityHsinchuTaiwan
  3. 3.Department of Computer ScienceNational Chengchi UniversityTaipeiTaiwan

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