Tricking fake news detectors with malicious user comments

Fake news detectors, which have been deployed by social media platforms like Twitter and Facebook to add warnings to misleading posts, have traditionally flagged online articles as false based on the story's headline or content. However, recent approaches have considered other signals, such as network features and user engagements, in addition to the story's content to boost their accuracies.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2TJZTL8
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