Investigating bias in traditional media through social media

Faculty / School

Faculty of Computer Sciences (FCS)


Department of Computer Science

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Document Type

Conference Paper

Publication Date


Conference Name

WWW 2012: 21st World Wide Web Conference 2012

Conference Location

Lyon, France

Conference Dates

16-20 April 2012


84861017950 (Scopus)

First Page


Last Page



Association for Computing Machinery, New York, NY, United States

Abstract / Description

It is often the case that traditional media provide coverage of a news event on the basis of journalists' viewpoints - a problem termed in the literature as media bias. On the other hand social media have given birth to an alternative paradigm of journalism known as "citizen journalism". We take advantage of citizen journalism to detect the bias in traditional media and propose a simple model for empirical measurement of media bias. Copyright is held by the author/owner(s).

Citation/Publisher Attribution

Younus, A., Qureshi, M. A., Kingrani, S. K., Saeed, M., Touheed, N., O'Riordan, C., & Gabriella, P. (2012, April). Investigating bias in traditional media through social media. In Proceedings of the 21st International Conference on World Wide Web (pp. 643-644).