This leads to the question: How can fake news be detected? The good news is that algorithms designed to distinguish between human- and AI-generated content have been developed.

Machine learning-based models, especially natural language processing, are becoming more sophisticated and effective in detecting fake news ...

Detecting misinformation Detecting misinformation can be done by a combination of algorithms, machine-learning models and humans. An important question is who is responsible for controlling, if not ...

A machine learning system aims to determine if a news outlet is accurate or biased.

Can we use machine learning to automate fact-checking and verification in the battle against fake news?

So, a machine learning system such as this one is by no means a magic bullet to the problem of fake or biased news, but it certainly presents us with a valuable tool to help manage the ongoing issue.

The "Era of neural disinformation" is upon us, a future in which machines can generate fake news articles in enormous volume that humans will get suckered into believing is real. The only hope for ...

Detecting misinformation Detecting misinformation can be done by a combination of algorithms, machine-learning models and humans.

A machine learning system aims to determine if a news outlet is accurate or biased.

Bespoke fraud ML models are powered by algorithms that learn from historical data, picking up on behaviors and characteristics commonly associated with fraud.