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

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.

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 ...

Fake Alibaba Labs AI SDKs hosted on PyPI included PyTorch models with infostealer code inside. With support for detecting ...

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 ...

With so much misinformation spreading in social media, Rice University researchers led by computer scientist Anshumali Shrivastava developed a method using machine learning (ML) to prevent the ...