When researchers working on developing a machine learning-based tool for detecting fake news realized there wasn’t enough data to train their algorithms, they did the only rational thing: They ...

Discover how natural language processing (NLP) can be used to effectively detect fake news. Learn about the key techniques, examples and tools that NLP offers in the battle against misinformation.

To improve fake news detection, Lin, Chen and their colleagues set out to develop an alternative model that would simultaneously analyze both the textual and visual features of online news.

As the advance of multimedia technology, the sources of information are not limited to one form but emerging multi-modal properties. Through the multimedia data processing, it is an essential ...

However, many news portals serve special interest by feeding with distorted, partially correct, and sometimes imaginary news that is likely to attract the attention of a target group of people. Fake ...

The researchers conclude by highlighting open research challenges in the area of fake news detection. In 2017, two-thirds of U.S. adults get news from social media, a 5 percent jump over 2016 ...

For an AI system detecting fake news, to be super accurate, the hits need to be really high (say 90%) and so the misses will be very low (say 10%), and the false alarms need to stay low (say 10% ...

How AI Can Create And Detect Fake News. ... this set of fake news data requires 31 MB of disk space. ... Detecting fake news is a complex process that starts with awareness and education.

In this project, we have used various natural language processing techniques and machine learning algorithms to classify fake news articles using sci-kit libraries from python. The data source used ...