Gaining a better understanding of online polarization by approaching it as a dynamic process
Journal: arXiv (Cornell University)
Year: 2023

Polarization is often a clich{é}, its conceptualization remains approximate and no consensus has been reached so far. Often simply seen as an inevitable result of the use of social networks, polarization nevertheless remains a complex social phenomenon that must be placed in a wider context. To contribute to a better understanding of polarization, we approach it as an evolving process, drawing on a dual expertise in political and data sciences. We compare the polarization process between one mat