“Machine Learning to combat Fake News and Media Manipulation“.
This is the title of the webinar organized by Elsevier, that will see the participation of Michal Choras & Rafal Kozik from UTP.
Fake news has now grown into a big problem for societies and also a major challenge for people fighting disinformation. This phenomenon plagues democratic elections, reputations of individual persons or organizations, and has negatively impacted citizens, (e.g., during the COVID-19 pandemic in the US or Brazil). Hence, developing effective tools to fight this phenomenon by employing advanced Machine Learning (ML) methods poses a significant challenge. In this short webinar we want to provide a short overview of the most important R&D projects related to this subject. The main purpose of this work is to analyse the current state of knowledge in detecting fake news; on the one hand to show possible solutions, and on the other hand to identify the main challenges and methodological gaps to motivate future research.
See you on Tuesday, April 20, 2021 at 11 a.m. ET (please register from here).