How deceptive content reached millions of voters during the 2020 US elections

Over the past decades, the diffusion of fake news and other deceptive content on social media platforms has become a heated ...
EurekAlert!

Machine learning methods are best suited to catch liars, according to new science of deception detection

The study analyzed 121 short videos as part of a small dataset to distinguish between truthful and deceptive conversations. Scientists have revealed that Convolutional Neural Networks (CNNs), a type ...
Digital Journal

Deceptive ‘bait-and-switch’ Facebook groups snare US voters: study

The so-called bait-and-switch strategy appears to violate Facebook owner Meta's policies regarding inauthentic behavior or 'complex deception' - Copyright AFP/File ...
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Machine learning methods are best suited to catch liars, according to science of deception detection

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior performance compared to conventional non-machine learning approaches when ...