Mining social media: Challenges and opportunities

Isaac Jones; Huan Liu

doi:10.1109/SOCIETY.2013.12

Mining social media: Challenges and opportunities

Isaac Jones, Huan Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

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 language	English (US)
Title of host publication	Proceedings - 2013 International Conference on Social Intelligence and Technology, SOCIETY 2013
Pages	90-99
Number of pages	10
DOIs	https://doi.org/10.1109/SOCIETY.2013.12
State	Published - 2013
Event	2013 International Conference on Social Intelligence and Technology, SOCIETY 2013 - State College, PA, United States Duration: May 8 2013 → May 10 2013

Other

Other	2013 International Conference on Social Intelligence and Technology, SOCIETY 2013
Country/Territory	United States
City	State College, PA
Period	5/8/13 → 5/10/13

ASJC Scopus subject areas

Management of Technology and Innovation
Artificial Intelligence

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10.1109/SOCIETY.2013.12

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title = "Mining social media: Challenges and opportunities",

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.",

author = "Isaac Jones and Huan Liu",

year = "2013",

doi = "10.1109/SOCIETY.2013.12",

language = "English (US)",

pages = "90--99",

booktitle = "Proceedings - 2013 International Conference on Social Intelligence and Technology, SOCIETY 2013",

note = "2013 International Conference on Social Intelligence and Technology, SOCIETY 2013 ; Conference date: 08-05-2013 Through 10-05-2013",

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AU - Jones, Isaac

AU - Liu, Huan

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AB - 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.

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DO - 10.1109/SOCIETY.2013.12

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BT - Proceedings - 2013 International Conference on Social Intelligence and Technology, SOCIETY 2013

Y2 - 8 May 2013 through 10 May 2013

ER -

Mining social media: Challenges and opportunities

Abstract

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ASJC Scopus subject areas

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