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Election trolling: analyzing sentiment in tweets during pakistan elections 2013

Published: 07 April 2014 Publication History

Abstract

The use of Twitter as a discussion platform for political issues has led researchers to study its role in predicting election outcomes. This work studies a much neglected aspect of politics on Twitter namely "election trolling" whereby supporters of different political parties attack each other during election campaigns. We also propose a novel strategy to detect terms that are usually not associated with sentiment but are introduced by supporters of political parties to attack the opposing party. We demonstrate a lack of political maturity as evidenced through high percentage of political attacks in a developing region such as Pakistan.

References

[1]
M. Thelwall, K. Buckley, G. Paltoglou, D. Cai, and A. Kappas. Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12):2544--2558, 2010.
[2]
A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Predicting elections with twitter: What 140 characters reveal about political sentiment. ICWSM, 10:178--185, 2010.

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WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web
April 2014
1396 pages
ISBN:9781450327459
DOI:10.1145/2567948
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • IW3C2: International World Wide Web Conference Committee

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 April 2014

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  1. political attacks
  2. sentiment
  3. trolling

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