Predicting political preference of Twitter users

Aibek Makazhanov, Davood Rafiei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

We study the problem of predicting the political preference of users on the Twitter network, showing that the political preference of users can be predicted from their interaction with political parties. We show this by building prediction models based on a variety of contextual and behavioural features, training the models by resorting to a distant supervision approach and considering party candidates to have a predefined preference towards their parties. A language model for each party is learned from the content of the tweets by the party candidates, and the preference of a user is assessed based on the alignment of user tweets with the language models of the parties. We evaluate our work in the context of Alberta 2012 general election, and show that our model outperforms, in terms of the F-measure, sentiment and text classification approaches and is in par with the human annotators. We further use our model to analyze the preference changes over the course of the election campaign and report results that would be difficult to attain by human annotators.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
PublisherAssociation for Computing Machinery
Pages298-305
Number of pages8
ISBN (Print)9781450322409
DOIs
Publication statusPublished - 2013
Event2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 - Niagara Falls, ON, Canada
Duration: Aug 25 2013Aug 28 2013

Other

Other2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
CountryCanada
CityNiagara Falls, ON
Period8/25/138/28/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Makazhanov, A., & Rafiei, D. (2013). Predicting political preference of Twitter users. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 (pp. 298-305). Association for Computing Machinery. https://doi.org/10.1145/2492517.2492527

Predicting political preference of Twitter users. / Makazhanov, Aibek; Rafiei, Davood.

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, 2013. p. 298-305.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Makazhanov, A & Rafiei, D 2013, Predicting political preference of Twitter users. in Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, pp. 298-305, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Niagara Falls, ON, Canada, 8/25/13. https://doi.org/10.1145/2492517.2492527
Makazhanov A, Rafiei D. Predicting political preference of Twitter users. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery. 2013. p. 298-305 https://doi.org/10.1145/2492517.2492527
Makazhanov, Aibek ; Rafiei, Davood. / Predicting political preference of Twitter users. Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. Association for Computing Machinery, 2013. pp. 298-305
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