Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Identifying Polarized Wikipedia Articles

Identifying Polarized Wikipedia Articles
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Author(s): Nikos Kirtsis (Patras University, Greece), Paraskevi Tzekou (Patras University, Greece), Jeries Besharat (Patras University, Greece) and Sofia Stamou (Patras University, Greece & Ionian University, Greece)
Copyright: 2013
Pages: 13
Source title: Advancing Information Management through Semantic Web Concepts and Ontologies
Source Author(s)/Editor(s): Patricia Ordóñez de Pablos (Universidad de Oviedo, Spain), Héctor Oscar Nigro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina), Robert D. Tennyson (University of Minnesota, USA), Sandra Elizabeth Gonzalez Cisaro (Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina) and Waldemar Karwowski (University of Central Florida, USA)
DOI: 10.4018/978-1-4666-2494-8.ch014


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Wikipedia is one of the most successful worldwide collaborative efforts to put together user-generated content in a meaningfully organized and intuitive manner. Currently, Wikipedia hosts millions of articles on a variety of topics, supplied by thousands of contributors. A critical factor in Wikipedia’s success is its open nature, which enables everyone to edit, revise, and/or question (via talk pages) the article contents. Considering the phenomenal growth of Wikipedia and the lack of a peer review process for its contents, it becomes evident that both editors and administrators have difficulty in validating its quality on a systematic and coordinated basis. This difficulty has motivated several research works on how to assess the quality of Wikipedia articles. In this chapter, the authors propose the exploitation of a novel indicator for the Wikipedia articles’ quality, namely information credibility. In this respect, the authors describe a method that captures the polarized (i.e., biased) information across the article contents in an attempt to infer the amount of credible (i.e., objective) information every article communicates. This approach relies on the intuition that an article offering non-polarized information about its topic is more credible and of better quality compared to an article that discusses the editors’ (subjective) opinions on that topic.

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