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Stance Classification through Proximity-based Community Detection

Fraisier, Ophélie and Cabanac, Guillaume and Pitarch, Yoann and Besancon, Romaric and Boughanem, Mohand Stance Classification through Proximity-based Community Detection. (2018) In: 29th ACM Conference on Hypertext and Social Media (HT 2018), 9 July 2018 - 12 July 2018 (Baltimore, Maryland, United States).

(Document in English)

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Official URL: https://doi.org/10.1145/3209542.3209549


Numerous domains have interests in studying the viewpoints expressed online, be it for marketing, cybersecurity, or research purposes with the rise of computational social sciences. Current stance detection models are usually grounded on the specificities of some social platforms. This rigidity is unfortunate since it does not allow the integration of the multitude of signals informing effective stance detection. We propose the SCSD model, or Sequential Community-based Stance Detection model, a semi-supervised ensemble algorithm which considers these signals by modeling them as a multi-layer graph representing proximities between profiles. We use a handful of seed profiles, for whom we know the stance, to classify the rest of the profiles by exploiting like-minded communities. These communities represent profiles close enough to assume they share a similar stance on a given subject. Using datasets from two different social platforms, containing two to five stances, we show that by combining several types of proximity we can achieve excellent results. Moreover, we compare the proximities to find those which convey useful information in term of stance detection.

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 HT'18: Proceedings of the 29th on Hypertext and Social Media ISBN: 978-1-4503-5427-1 The original PDF is available at: https://dl.acm.org/citation.cfm?doid=3209542.3209549
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 - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:02 Oct 2019 11:22

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