Publication

Truth or lie: Automatically fact checking news

Azevedo, Lucas
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Identifiers
http://hdl.handle.net/10379/15579
 https://doi.org/10.13025/21068
Publication Date
2018-04-23
Keywords
Natural Language Processing, Automatic Fact-checking, Deception Detection
Type
Conference Paper
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Citation
Azevedo, Lucas. (2018). Truth or lie? Automatically fact checking news. Paper presented at the The Web Conference 2018, Lyon, France, 23–27 April .
Abstract
In the actual scenario of ever-growing data consumption speed and quantity, factors like news source decentralization, citizen journalism and democratization of media, make the task of manually checking and correcting disinformation across the internet impractical or infeasible. Here, there is an imperative need for a fast and reliable way to account for the veracity of what is produced and spread as information: Automatic fact-checking. In this work we present the problem of fact-checking in the era of big data and post-truth. Some existing approaches for this task are presented and their main features discussed and compared. Concluding, a new approach inspired on the best components of the existing ones is presented.
Funder
Science Foundation Ireland
European Union
Publisher
ACM
Publisher DOI
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland
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Collections
Data Science Institute (Conference Papers)