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IntelWiki: Recommending Resources to Help Users Contribute to Wikipedia

  • Conference paper
User Modeling, Adaptation, and Personalization (UMAP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8538))

Abstract

We describe an approach to facilitating user-generated content within the context of Wikipedia. Our approach, embedded in the IntelWiki prototype, aims to make it easier for users to create or enhance the free-form text in Wikipedia articles by: i) recommending potential reference materials, ii) drawing the users’ attention to key aspects of the recommendations, and iii) allowing users to consult the recommended materials in context. A laboratory evaluation with 16 novice Wikipedia editors revealed that, in comparison to the default Wikipedia design, IntelWiki’s approach has positive impacts on editing quantity and quality, and perceived mental load.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Manitoba, Winnipeg, Manitoba, Canada

    Mohammad Noor Nawaz Chowdhury & Andrea Bunt

Authors
  1. Mohammad Noor Nawaz Chowdhury
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  2. Andrea Bunt
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Editor information

Editors and Affiliations

  1. School of Computing, University of Leeds, United Kingdom

    Vania Dimitrova

  2. University of Haifa, Israel

    Tsvi Kuflik

  3. Department of Information and Computer Sciences, University of Hawaii, 96822, Honolulu, HI, USA

    David Chin

  4. Free University of Bozen - Bolzano, Piazza Domenicani 3, 39100, Bolzano, Italy

    Francesco Ricci

  5. Department of Computer Science, Aalborg University, Selma Lagerlofs Vej, 300 9220, Aalborg-East, Denmark

    Peter Dolog

  6. EEMCS - Web Information Systems, 2600 GA, Delft, The Netherlands

    Geert-Jan Houben

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© 2014 Springer International Publishing Switzerland

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Nawaz Chowdhury, M.N., Bunt, A. (2014). IntelWiki: Recommending Resources to Help Users Contribute to Wikipedia. In: Dimitrova, V., Kuflik, T., Chin, D., Ricci, F., Dolog, P., Houben, GJ. (eds) User Modeling, Adaptation, and Personalization. UMAP 2014. Lecture Notes in Computer Science, vol 8538. Springer, Cham. https://doi.org/10.1007/978-3-319-08786-3_35

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  • DOI: https://doi.org/10.1007/978-3-319-08786-3_35

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08785-6

  • Online ISBN: 978-3-319-08786-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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