A team of researchers at Brazil's University of São Paulo (USP) has developed a Web platform that can automatically detect fake online news.
The platform statistically analyzes writing characteristics of content in Brazilian Portuguese, which is fed into a machine learning-based classifier that can differentiate the linguistic, vocabulary, and semantic patterns of fake and real news.
The classifier can automatically deduce whether submitted content is false; initial tests indicate the system can detect fake news with 96% accuracy.
USP's Francisco Louzada Neto said the project intends "to offer society an additional tool to identify, not only subjectively, whether a news item is false or not."
View Full Article
Abstracts Copyright © 2022 SmithBucklin, Washington, DC, USA
No entries found