Conference paper Open Access

Truth or Lie? Automatically Fact Checking News

Azevedo, Lucas

In the actual scenario of ever-growing data consumption speed and quantity, factors like news source decentralization, citizen jour- nalism and democratization of media, make the task of manually checking and correcting disinformation across the internet imprac- tical 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.

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