Social media and social reality: Theory, evidence and validation

William N. Reynolds, Marta S. Weber, Robert M. Farber, Courtney Corley, Andrew J. Cowell, Michelle Gregory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Social Media provide an exciting and novel view into social phenomena. The vast amounts of data that can be gathered from the Internet coupled with massively parallel supercomputers such as the Cray XMT open new vistas for research. Conclusions drawn from such analysis must recognize that social media are distinct from the underlying social reality. Rigorous validation is essential. This paper briefly presents results obtained from computational analysis of social media -utilizing both blog and twitter data. Validation of these results is discussed in the context of a framework of established methodologies from the social sciences. Finally, an outline for a set of supporting studies is proposed.

Original languageEnglish
Title of host publicationISI 2010 - 2010 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationPublic Safety and Security
Pages221-226
Number of pages6
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 IEEE International Conference on Intelligence and Security Informatics: Public Safety and Security, ISI 2010 - Vancouver, BC, Canada
Duration: May 23 2010May 26 2010

Publication series

NameISI 2010 - 2010 IEEE International Conference on Intelligence and Security Informatics: Public Safety and Security

Conference

Conference2010 IEEE International Conference on Intelligence and Security Informatics: Public Safety and Security, ISI 2010
Country/TerritoryCanada
CityVancouver, BC
Period05/23/1005/26/10

Keywords

  • Blogs
  • Graph theory
  • Method
  • Multimethod
  • Opinion leaders
  • Scale-free networks
  • Social media
  • Social science
  • Supercomputing
  • Thought leaders
  • Twitter
  • Validation

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