I’m interested in understanding the relationship between technical, organizational and economics aspects of online streaming platforms.
The Stream For Good and Prime-space projects involves collectings, analyzing and making sense out of streaming platforms data, including recommender systems and user-experience factors that influence end-user behaviour. With with crowd-sourced data, we apply process-mining techniques to better understand how regulatory frameworks could be adapted to non-linear data consumption to support diversity. In collaboration with the “Chaire PcEn”
I’m currently working on the following projects:
- using process mining to analyze platform traces for legal conformity
- using AI to understand how conspiracy theories are handled by public video platforms recommender systems.