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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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
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