Abstract

The opportunities presented by social networking have led to millions of users flocking to sites like Facebook, Twitter, and Foursquare. Even sites like Amazon have added the ability for users to interact with one another, though it seems tangential to the site's stated purpose. These social networking sites and social networking features generate massive amounts of data that can be used to draw conclusions about social behavior that could previously only be studied using relatively small sample sizes. This unlocks the ability to validate existing social theories, generate new models for how individuals and groups interact, and leverage the power of the crowd, among others.

Original languageEnglish (US)
Title of host publicationProceedings - 2013 International Conference on Social Intelligence and Technology, SOCIETY 2013
Pages90-99
Number of pages10
DOIs
StatePublished - 2013
Event2013 International Conference on Social Intelligence and Technology, SOCIETY 2013 - State College, PA, United States
Duration: May 8 2013May 10 2013

Other

Other2013 International Conference on Social Intelligence and Technology, SOCIETY 2013
CountryUnited States
CityState College, PA
Period5/8/135/10/13

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Artificial Intelligence

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  • Cite this

    Jones, I., & Liu, H. (2013). Mining social media: Challenges and opportunities. In Proceedings - 2013 International Conference on Social Intelligence and Technology, SOCIETY 2013 (pp. 90-99). [6545969] https://doi.org/10.1109/SOCIETY.2013.12