Computer Sciences

Detecting fake face images created by both humans and machines

Researchers at the State University of New York in Korea have recently explored new ways to detect both machine and human-created fake images of faces. In their paper, published in ACM Digital Library, the researchers used ...

Computer Sciences

Fake news detector algorithm works better than a human

An algorithm-based system that identifies telltale linguistic cues in fake news stories could provide news aggregator and social media sites like Google News with a new weapon in the fight against misinformation.

Computer Sciences

Fake news via OpenAI: Eloquently incoherent?

OpenAI's text generator, machine learning-powered—so powerful that it was thought too dangerous to release to the public, has, guess what, been released.

Computer Sciences

When a story is breaking, AI can help consumers identify fake news

Warnings about misinformation are now regularly posted on Twitter, Facebook, and other social media platforms, but not all of these cautions are created equal. New research from Rensselaer Polytechnic Institute shows that ...

Computer Sciences

DUAL takes AI to the next level

Scientists at DGIST in Korea, and UC Irvine and UC San Diego in the US, have developed a computer architecture that processes unsupervised machine learning algorithms faster, while consuming significantly less energy than ...

Computer Sciences

Algorithms reveal patterns to help fight against fake news

In February, the Justice Department charged 13 Russians with stealing U.S. citizens' identities and spreading "fake news" with intent to subvert the last U.S. presidential election. The case is still unfolding, and may do ...

Computer Sciences

Engineers develop new way to know liars' intent

Dartmouth engineering researchers have developed a new approach for detecting a speaker's intent to mislead. The approach's framework, which could be developed to extract opinion from "fake news," among other uses, was recently ...

Computer Sciences

Peering under the hood of fake-news detectors

New work from MIT researchers peers under the hood of an automated fake-news detection system, revealing how machine-learning models catch subtle but consistent differences in the language of factual and false stories. The ...

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