Investigating bias in traditional media through social media
Faculty / School
Faculty of Computer Sciences (FCS)
Department
Department of Computer Science
Was this content written or created while at IBA?
Yes
Document Type
Conference Paper
Publication Date
4-2012
Conference Name
WWW 2012: 21st World Wide Web Conference 2012
Conference Location
Lyon, France
Conference Dates
16-20 April 2012
ISBN/ISSN
84861017950 (Scopus)
First Page
643
Last Page
644
Publisher
Association for Computing Machinery, New York, NY, United States
Keywords
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).
DOI
https://doi.org/10.1145/2187980.2188168
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).
Recommended Citation
Younus, A., Qureshi, M. A., Kingrani, S. K., Saeed, M., Touheed, N., O'Riordan, C., & Gabriella, P. (2012). Investigating bias in traditional media through social media., 643-644. https://doi.org/10.1145/2187980.2188168
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