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 ...

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

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 ...

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

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.

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.