Deception Detection in Online Media

Alsu Zaynutdinova, Dina Pisarevskaya, Maxim Zubov and Ilya Makarov

MPRA Paper from University Library of Munich, Germany

Abstract: Russian Federation and European Union are fighting againstfake news together with other countries in various topics. The disinform-ation affected British referendum of existing EU, the US election andCatalonia’s referendum are broadly studied. A need for automated fact-checking increases, European Commission’s Action Plan 8 is an evidence.In this work, we develop a model for detecting disinformation in Russianlanguage in online media. We use reliable and unreliable sources to com-pare named entities and verbs extracted using DeepPavlov library. Ourmethod shows four time greater recall compared to chosen baseline.

Keywords: Fake news; Information extraction; Fact checking; Deep-Pavlov; Named Entities (search for similar items in EconPapers)
JEL-codes: C6 K42 M38 Z18 (search for similar items in EconPapers)
Date: 2019-09-23, Revised 2019-09-23
New Economics Papers: this item is included in nep-cis and nep-law
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:97316

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