Dr. Márjory da Costa Abreu has the paper Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19 accepted at the 12th International Conference on Pattern Recognition Systems.

The paper presents an analysis of using a combination of classical machine learning models and deep learning techniques as well as a selection of descriptive text features to identify fake news related to COVID-19 on social media. This research is the result of the work developed by Ashish Garg (MSc Big Data Analytics - SHU).