Fake News Detection using Machine Learning This project classifies news articles as FAKE or REAL using machine learning.

A team of data scientists and researchers has developed a robust AI-based framework to detect and analyze the emotional impact of fake news and deepfakes, two of the most prevalent forms of digital ...

A comprehensive fake news detection system that can analyze news articles in both English and Malayalam languages using Natural Language Processing (NLP) and Machine Learning techniques ...

As generative AI produces increasingly convincing text, Dutch researchers are exploring how linguistic cues, model bias, and transparency tools can help detect fake news.

Another research group, Ghorbanpour et al. (2023) proposed a transformer-based detection algorithm for fake news detection using text and images. Next, Ramadhani et al. employed Video Vision ...

A tool developed by Keele University researchers has been shown to help detect fake news with an impressive 99% level of accuracy, offering a vital resource in combating online misinformation.

Keywords: fake news detection, multimodal data, cross-modal attention, contrastive learning, optimal transport Citation: Shen X, Huang M, Hu Z, Cai S and Zhou T (2024) Multimodal Fake News Detection ...

With better detection, AI fake news checking systems may be able to warn of, and ultimately counteract, serious harms from deepfakes, propaganda, conspiracy theories and misinformation.