Book Chapter or Conference Paper Title

What do the average twitterers say: a twitter model for public opinion analysis in the face of major political events

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

7-2011

Conference Name

2011 International Conference on Advances in Social Networks Analysis and Mining

Conference Location

Kaohsiung, Taiwan

Conference Dates

25-27 July 2011

ISBN/ISSN

80052752113 (Scopus)

First Page

618

Last Page

623

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Abstract / Description

Social media platforms have become a forum for giving a voice to the masses with a significant proportion of those masses coming from the developing world. This was largely evidenced through the significant role played by social media platforms in the recent uprisings in the Arab world. In this paper, we take up a study of social media engagement patterns of users from the developing world through a study of Twitter's role during the recent Tunisian uprising. Motivated by the results of a user survey conducted mainly for users from the developing world who tweeted heavily during the uprisings in the Arab world, we propose a novel method for subjectivity analysis of tweets corresponding to political events in the developing world. Our proposed method differs from previous subjectivity analysis approaches in that it is the first method that takes into account social features of social media platforms for the subjectivity classification task. Through experimental evaluations, we observe the accuracy of the proposed method to be 83.3% which demonstrates a promising outcome for large-scale application of our proposed subjectivity analysis technique.

Citation/Publisher Attribution

Younus, A., Qureshi, M. A., Asar, F. F., Azam, M., Saeed, M., & Touheed, N. (2011, July). What do the average twitterers say: A twitter model for public opinion analysis in the face of major political events. In 2011 International Conference on Advances in Social Networks Analysis and Mining (pp. 618-623). IEEE.

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