One striking observation was that more complex models like CNNs underperformed relative to simpler models. CNNs were ...

Although previous studies examined cognitive biases and the structural aspects of social media that facilitate the spread of fake news, as well as various machine learning techniques for detecting ...

Binghamton University's School of Management (SOM) has conducted research that proposes solutions to combat the spread of fake news using a combination of machine learning and blockchain technology.

Fake news is a complex problem and can span text, images and video ... can be done by a combination of algorithms, machine-learning models, artificial intelligence, and humans.

A proposed machine learning ... and improve the detection process. It would also consider user characteristics from people with prior experience or knowledge about fake news to help piece together ...

"If we label a real audio as fake ... machine learning models. Since machine learning and artificial intelligence are virtually the same technology, people also call this approach "using AI to ...