Can AI Put An End To Fake News? Don't Be So Sure
Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the extreme effects of global warming made themselves painfully known, it is becoming harder than ever to differentiate between reality and fiction in the news. The rise of social media has also created a seemingly unstoppable force of misinformation, which reared its ugly head in the form of the Cambridge Analytica scandal earlier this year. This has raised serious questions about the accountability of social media, and what those running the sites can realistically do to tackle the monster of their own making.
A new project from MIT’s CSAIL (Computer Science and Artificial Intelligence Lab) and QRCI (Qatar Computing Research Institute) was announced yesterday (October 4) that aims to identify sources of fake news before it can spread, potentially leading to the automatic classification of unreliable news outlets and aiding fact-checkers immeasurably. But when dealing with such a pernicious and unpredictable beast as fake news, will these new capabilities be anything more than a bump in the road?
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