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A clustering approach to infer Wikipedia contributors' profile

Author

Listed:
  • Shubham Krishna
  • Romain Billot

    (Lab-STICC_IMTA_CID_DECIDE - Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance - ENIB - École Nationale d'Ingénieurs de Brest - UBS - Université de Bretagne Sud - UBO - Université de Brest - ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne - IMT - Institut Mines-Télécom [Paris] - CNRS - Centre National de la Recherche Scientifique - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], IMT Atlantique - LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris])

  • Nicolas Jullien

    (IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], IMT Atlantique - LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], LEGO - Laboratoire d'Economie et de Gestion de l'Ouest - UBS - Université de Bretagne Sud - UBO - Université de Brest - IMT - Institut Mines-Télécom [Paris] - IBSHS - Institut Brestois des Sciences de l'Homme et de la Société - UBO - Université de Brest - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], MARSOUIN - Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet - UR - Université de Rennes - UBS - Université de Bretagne Sud - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - UBO - Université de Brest - IMT - Institut Mines-Télécom [Paris] - UR2 - Université de Rennes 2 - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris])

Abstract

Recent studies have improved our knowledge about the different types or prooles of online contributors, from casual to very involved ones, through focused people. But they use very complex methodologies, making their replication by the practitioners limited. We show on both Romanian and Danish wikis that using only the edit and their distribution over time to feed clustering techniques, allows to build these prooles with good accuracy and stability. is suggests that light monitoring of newcomers may be suucient to adapt the interaction with them and to increase the retention rate. CCS CONCEPTS • Human-centered computing → Empirical studies in collaborative and social computing;

Suggested Citation

  • Shubham Krishna & Romain Billot & Nicolas Jullien, 2018. "A clustering approach to infer Wikipedia contributors' profile," Post-Print hal-01832902, HAL.
    • Handle: RePEc:hal:journl:hal-01832902
    DOI: 10.1145/3233391.3233968
    Note: View the original document on HAL open archive server: https://hal.science/hal-01832902
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    References listed on IDEAS

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    1. Ofer Arazy & Johannes Daxenberger & Hila Lifshitz-Assaf & Oded Nov & Iryna Gurevych, 2016. "Turbulent Stability of Emergent Roles: The Dualistic Nature of Self-Organizing Knowledge Coproduction," Information Systems Research, INFORMS, vol. 27(4), pages 792-812, December.
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