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Stakeholder Detection for Online Debates

Antoine Seilles 1 Nancy Rodriguez 2 Jean Sallantin 3
2 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 COCONUT - Agents, Apprentissage, Contraintes
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This paper presents a work in progress about stakeholder detection for online debates. We propose an approach based on classical community detection methods applied to semantic social networks representation. We defend that new web2.0 tools should assist users to define semantic relations between users, groups and roles based on social interaction analysis. The main goal is to provide new mecanisms for moderation decreasing misunderstandings and highlighting unexpected behaviors.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00572875
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Submitted on : Wednesday, March 2, 2011 - 1:45:09 PM
Last modification on : Monday, January 11, 2021 - 5:24:13 PM
Long-term archiving on: : Tuesday, May 31, 2011 - 2:44:55 AM

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Antoine Seilles, Nancy Rodriguez, Jean Sallantin. Stakeholder Detection for Online Debates. iiWAS'2010: 12th International Conference on Information Integration and Web-based Applications & Services, Nov 2010, Paris, France. pp.917-920, ⟨10.1145/1967486.1967648⟩. ⟨lirmm-00572875⟩

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