The language gives it away: How an algorithm can help us detect fake news Researchers are developing an algorithm that can distinguish between real and fake news articles. By Fatemeh Torabi Asr ...

This suggests that a stylistic approach combined with machine learning might be useful in detecting suspicious news. Our fake news detector is built based on linguistic characteristics extracted ...

It’s released new research that uses machine learning to automatically detect when images of faces have been manipulated. Though it’s just a research project for the moment Skip to main content ...

As a result, NLP greatly extends the capabilities and effectiveness of machine learning. The Deepfake Challenge Then, there is the “most entertaining” fraud of them all: deepfakes.

Academics from UK and China have developed a new machine learning algorithm that can break text-based CAPTCHA systems with less effort, faster, and with higher accuracy than all previous methods.

Using machine learning and natural language processing, researchers are developing an algorithm that can distinguish between real and fake news articles.