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 ...

Our deepfake detection prototype framework can ingest modes of data and detect at least three types of AI artifacts for each ...

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 ...

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.

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 ...