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International Conference on Social Informatics

SocInfo 2013: Social Informatics pp 139–152Cite as

Automating Credibility Assessment of Arabic News

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8238))

Abstract

During the past few years internet has witnessed a massive increase of Arabic language users. Accompanied with this increase in the number of users is an increase in e-publishing. However, necessary laws and regulations are not yet available to control the credibility of e-published content. Furthermore, many political conflicts have risen after the Arab Spring. All of this led to an increasing demand for assessing the credibility of news in general and e-news in particular.

In this work, we present a system for automating credibility assessment of a news article based on two of the most important and most frequently violated criteria; (i) Does the news article indicate the source of its information? (ii) Does the news article indicate the time of occurrence of the reported event? For each of the chosen criteria, we build a classification model to classify a news article as either violating the criteria or not. News articles previously evaluated by MCE Watch (a manual service for news credibility assessment) are used in building and evaluation of our model. Experimental evaluations show that our model has accuracy that exceeds 82% for both criteria.

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Author information

Authors and Affiliations

  1. Cairo University, Giza, Egypt

    Mohamed Hammad & Elsayed Hemayed

Authors
  1. Mohamed Hammad
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  2. Elsayed Hemayed
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Editor information

Editors and Affiliations

  1. Department of Social Informatics, Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, 606-8501, Sakyo-ku, Kyoto, Japan

    Adam Jatowt

  2. School of Information Systems, Singapore Management University, 80 Stamford Road, 178902, Singapore

    Ee-Peng Lim  & Bing Tian Dai  & 

  3. Department of Information and Library Science, School of Informatics and Computing, Indiana University, 1320 E. 10th St., LI 011, 47405, Bloomington, IN, USA

    Ying Ding

  4. Department of Integrated Psychological Sciences, Kwansei Gakuin University, 1-1-155 Uegahara, 662-8501, Nishinomiya, Hyogo, Japan

    Asako Miura

  5. Faculty of Library, Information and Media Science, University of Tsukuba, 1-2 Kasuga, 305-8550, Tsukuba City, Ibaraki, Japan

    Taro Tezuka

  6. Department of Computer Science, University of Caen Basse-Normandie, Campus Côte de Nacre, F-14032, Caen Cedex, France

    Gaël Dias

  7. Department of Social Informatics, Graduate School of Informatics,, Kyoto University, 606-8501, Kyoto, Japan

    Katsumi Tanaka

  8. Department of Communication, University of California, 93106, Santa Barbara, CA, USA

    Andrew Flanagin

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© 2013 Springer International Publishing Switzerland

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Cite this paper

Hammad, M., Hemayed, E. (2013). Automating Credibility Assessment of Arabic News. In: Jatowt, A., et al. Social Informatics. SocInfo 2013. Lecture Notes in Computer Science, vol 8238. Springer, Cham. https://doi.org/10.1007/978-3-319-03260-3_13

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  • DOI: https://doi.org/10.1007/978-3-319-03260-3_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03259-7

  • Online ISBN: 978-3-319-03260-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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