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An Interaction-driven Approach for Inferring the Polarity of Collaborations in Wikipedia and Political Preferences on Twitter Open Access


Other title
social interactions
Type of item
Degree grantor
University of Alberta
Author or creator
Makazhanov, Aibek
Supervisor and department
Rafiei, Davood (Computing Science)
Examining committee member and department
Szepesvári, Csaba Szepesvári (Computing Science)
Rafiei, Davood (Computing Science)
Varnhagen, Connie (Psychology)
Elio, Renée (Computing Science)
Department of Computing Science

Date accepted
Graduation date
Master of Science
Degree level
In this thesis we explore interactions of users of two major information sources, namely Wikipedia and Twitter. In particular, we show that revision histories of Wikipedia articles contain interaction patterns which can be used to build collaboration profiles of editors. Such profiles can be classified as positive or negative, corresponding to productive or counter-productive collaboration. Additionally, profiles can be applied to a number of related tasks, such as predicting votes in Wikipedia administrator elections or detecting controversial articles. We further extend the ideas behind collaboration profiles and adapt the approach to the problem of predicting political preference of Twitter users. By considering tweeting on a party-specific topic as a form of user-party interaction, we show that a record of such interactions, produced by a user during an election campaign, can be used to predict her political preference. Additionally, we analyze how does predicted political preference of different groups of users change over time. Our results suggest that politically active users are less likely to change their preference during the course of an election campaign.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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