ML tool identifies domains created to promote fake news

2020-11-13 04:00

Academics at UCL and other institutions have collaborated to develop a machine learning tool that identifies new domains created to promote false information so that they can be stopped before fake news can be spread through social media and online channels.

To counter the proliferation of false information it is important to move fast, before the creators of the information begin to post and broadcast false information across multiple channels.

"Doshi commented:"Many models that predict false information use the content of articles or behaviours on social media channels to make their predictions.

By applying a machine-learning model to domain registration data, the tool was able to correctly identify 92 percent of the false information domains and 96.2 percent of the non-false information domains set up in relation to the 2016 US election before they started operations.

"Doshi continued"Fake news which is promoted by social media is common in elections and it continues to proliferate in spite of the somewhat limited efforts social media companies and governments to stem the tide and defend against it.

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