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Article
Affiliation(s)

Department of Public Administration, Sofia Univeristy “St. Kliment Ohridski”, 125 Tsarigradsko shose blvd, bl. 4, 413, 1113 Sofia, Bulgaria

ABSTRACT

The aim of this paper is to raise awareness on the consequences of dissemination of official statistics through online media that uses clickbait headlines to generate traffic. In order to tackle on this issue, a Natural Language Processing (NLP) model was developed in order to distinguish the clickbait headline from the non-clickbait one when it comes to articles presenting information from the Bulgarian National Statistical Institute press releases. The yielded results are rather satisfactory as the parts-of-speech features model achieved an accuracy for 92% of the cases.

KEYWORDS

Official statistics, online media, clickbait.

Cite this paper

Dimitrova, L. 2019. “Official Statistics as Clickbait—The New Threat in the Post-truth Society?” Journal of Mathematics and System Science 9: 95-9.

References

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[9] Baly, R., Karadzhov, G., Alexandrov, D., Glass, J., and Nakov, P. 2018. “Predicting Factuality of Reporting and Bias of News Media Sources.” arXiv preprint arXiv:1810.01765.

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