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International Conference on Artificial Intelligence: Methodology, Systems, and Applications

AIMSA 2016: Artificial Intelligence: Methodology, Systems, and Applications pp 172–180Cite as

In Search of Credible News

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9883))

Abstract

We study the problem of finding fake online news. This is an important problem as news of questionable credibility have recently been proliferating in social media at an alarming scale. As this is an understudied problem, especially for languages other than English, we first collect and release to the research community three new balanced credible vs. fake news datasets derived from four online sources. We then propose a language-independent approach for automatically distinguishing credible from fake news, based on a rich feature set. In particular, we use linguistic (n-gram), credibility-related (capitalization, punctuation, pronoun use, sentiment polarity), and semantic (embeddings and DBPedia data) features. Our experiments on three different testsets show that our model can distinguish credible from fake news with very high accuracy.

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Notes

  1. 1.

    http://wiki.dbpedia.org/.

  2. 2.

    http://www.dnevnik.bg/.

  3. 3.

    http://www.nenovinite.com/.

  4. 4.

    https://neverojatno.wordpress.com/.

  5. 5.

    http://www.btv.bg/lifestyle/all/.

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Acknowledgments

This research was performed by Momchil Hardalov, a student in Computer Science in the Sofia University “St Kliment Ohridski”, as part of his M.Sc. thesis. It is also part of the Interactive sYstems for Answer Search (Iyas) project, which is developed by the Arabic Language Technologies (ALT) group at the Qatar Computing Research Institute (QCRI), HBKU, part of Qatar Foundation in collaboration with MIT-CSAIL.

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Authors and Affiliations

  1. FMI, Sofia University “St. Kliment Ohridski”, Sofia, Bulgaria

    Momchil Hardalov & Ivan Koychev

  2. Qatar Computing Research Institute, HBKU, Doha, Qatar

    Preslav Nakov

Authors
  1. Momchil Hardalov
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  2. Ivan Koychev
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  3. Preslav Nakov
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Corresponding author

Correspondence to Momchil Hardalov .

Editor information

Editors and Affiliations

  1. Winston-Salem State University, Winston Salem, North Carolina, USA

    Christo Dichev

  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Gennady Agre

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© 2016 Springer International Publishing Switzerland

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Hardalov, M., Koychev, I., Nakov, P. (2016). In Search of Credible News. In: Dichev, C., Agre, G. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2016. Lecture Notes in Computer Science(), vol 9883. Springer, Cham. https://doi.org/10.1007/978-3-319-44748-3_17

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  • DOI: https://doi.org/10.1007/978-3-319-44748-3_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44747-6

  • Online ISBN: 978-3-319-44748-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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