Alexandre Bovet is a researcher at the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM) of the Université Catholique de Louvain working on complex systems and in their modelling using complex networks. He combines machine learning, network science, statistical physics and causality analysis to measure the importance of fake news compared to traditional news in Twitter during the 2016 US presidential election.
Informations
Place: MXF 1, from 1.30 to 2.30 pm
Website: https://memento.epfl.ch/event/diffusion-in-networks-fake-news-and-random-walks/
Language: EN