FNDaaS: Content-agnostic Detection of Fake News sites. (arXiv:2212.06492v1 [cs.CY])

Automatic fake news detection is a challenging problem in misinformation
spreading, and it has tremendous real-world political and social impacts. Past
studies have proposed machine learning-based methods for detecting such fake
news, focusing on different properties of the published news articles, such as
linguistic characteristics of the actual content, which however have
limitations due to the apparent language barriers. Departing from such efforts,
we propose FNDaaS, the first automatic, content-agnostic fake news detection
method, that considers new and unstudied features …

detection fake fake news