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Uncovering Like-minded Political Communities on Twitter

Fraisier, Ophélie and Cabanac, Guillaume and Pitarch, Yoann and Besancon, Romaric and Boughanem, Mohand Uncovering Like-minded Political Communities on Twitter. (2017) In: ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR 2017), 1 October 2017 - 4 October 2017 (Amsterdam, Netherlands).

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Official URL: http://doi.org/10.1145/3121050.3121091

Abstract

Stance detection systems often integrate social clues in their algorithms. While the influence of social groups on stance is known, there is no evaluation of how well state-of-the-art community detection algorithms perform in terms of detecting like-minded communities, i.e. communities that share the same stance on a given subject. We used Twitter's social interactions to compare the results of community detection algorithms on datasets on the Scottish Independence Referendum and US Midterm Elections. Our results show that algorithms relying on information diffusion perform better for this task and confirm previous observations about retweets being better vectors of stance than mentions.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACM. The definitive version is available at http://dl.acm.org This papers appears in Proceedings of ICTIR'17 ISBN: 978-1-4503-4490-6 The original PDF is available at: https://dl.acm.org/citation.cfm?id=3121091
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Commissariat à l'Energie Atomique et aux énergies alternatives - CEA (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:24 Sep 2018 09:58

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