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    Content quality assessment related frameworks for social media

    133575_11233_PUB-CBS-EEB-MC-49111.pdf (810.7Kb)
    Access Status
    Open access
    Authors
    Chai, Kevin
    Potdar, Vidyasagar
    Dillon, Tharam S.
    Date
    2009
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Citation
    Chai, Kevin and Potdar, Vidyasagar and Dillon, Tharam. 2009. Content quality assessment related frameworks for social media, in Osvaldo Gervasi, David Taniar, Beniamino Murgante, Antonio Lagana, Youngson Mun and Marina Gavrilova (ed), Lecture notes in computer science. pp. 791-805. Heidelberg: Springer.
    Source Title
    Lecture notes in computer science
    DOI
    10.1007/978-3-642-02457-3_65
    ISBN
    9783642024566
    Faculty
    Curtin Business School
    The Digital Ecosystems and Business Intelligence Institute (DEBII)
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    Remarks

    The original publication is available at : http://www.springerlink.com

    URI
    http://hdl.handle.net/20.500.11937/5564
    Collection
    • Curtin Research Publications
    Abstract

    The assessment of content quality (CQ) in social media adds a layer of complexity over traditional information quality assessment frameworks. Challenges arise in accurately evaluating the quality of content that has been created by users from different backgrounds, for different domains and consumed by users with different requirements. This paper presents a comprehensive review of 19 existing CQ assessment related frameworks for social media in addition to proposing directions for framework improvements.

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