Thesis Title
Algorithmic amplification of polarization on YouTube – A network analysis approach to studying YouTube’s search and recommendation algorithms

Research Description
The research will focus on news consumption on YouTube from mainstream news outlets and journalists in Australia to understand how algorithms affect access to information. I intend to work with crowd sourced search and recommendation data from YouTube obtained through the Australian Search Experience project at the ADM+S.

Supervisors
Prof Jean Burgess, Queensland University of Technology
Prof Axel Bruns, Queensland University of Technology
Assoc Prof Timothy Graham, Queensland University of Technology