How fake news detectors can be manipulated

2020-11-06 04:30

Fake news detectors manipulated through user comments.

New research from a team at Penn State's College of Information Sciences and Technology shows how these fake news detectors can be manipulated through user comments to flag true news as false and false news as true.

"Our model does not require the adversaries to modify the target article's title or content," explained Thai Le, lead author of the paper and doctoral student in the College of IST. "Instead, adversaries can easily use random accounts on social media to post malicious comments to either demote a real story as fake news or promote a fake story as real news."

Malcom performed better than the baseline for existing models by fooling five of the leading neural network based fake news detectors more than 93% of the time.

The researchers hope their work will help those charged with creating fake news detectors to develop more robust models and strengthen methods to detect and filter-out malicious comments, ultimately helping readers get accurate information to make informed decisions.

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