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Dr. Márjory da Costa Abreu has the papers Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19 and Exploring Bias Analysis on Judicial Data using Machine Learning Techniques accepted at the 12th International Conference on Pattern Recognition Systems.
Our paper An architecture for data integrity in untrustworthy social networks has been accepted for presentation at the 37th ACM/SIGAPP Symposium On Applied Computing. The paper presents an architecture for independent verification of content integrity in social networks in response to a scenario of untrustworthy provider, and is the result of the work developed by Angus Young.
