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How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection

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In recent years, false information has acquired a new significance, with the (in)famous term “fake news” entering the collective consciousness. False but controversial or sensational news tends to spread incomparably… Click to show full abstract

In recent years, false information has acquired a new significance, with the (in)famous term “fake news” entering the collective consciousness. False but controversial or sensational news tends to spread incomparably faster than genuine information. The world has already witnessed how Internet news can help raise the public’s doubt in the actions taken by governments, construct an alternative narrative of events, or even reportedly poison democratic elections, spark off riots afterward, and pose a grave threat to democracy. A number of initiatives have been developed and introduced aimed at tackling the problem. This work presents a tool designed to successfully detect fake news, the SocialTruth platform, which has already shown great promise. This article is structured as follows: first, the project is briefly presented, along with its principles and ambitions. Then, the architecture and underlying mechanisms are discussed, followed by evaluation results and conclusions.

Keywords: democracy; learning may; machine learning; fake news; news; may prevent

Journal Title: IT Professional
Year Published: 2022

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