Benjamin Guinaudeau is a postdoctoral fellow at NYU's Center of Social Media and Politics and a PhD candidate at the University of Constance, Germany. His research leverages methodological advances to unravel the mechanisms of democratic representation in the 21st century. His work lies at the intersection between Comparative Politics, Political Behavior, Political Methodology, and Data Science.
Benjamin is currently interested in understanding how AI systems interact with political content. His past work suggests that the recommender system, structuring Twitter's feed, exploits informational cues unconsciously shared by users to formulate political recommendations. Further work on Meta's platforms underscores that online pricing algorithms distort political competition as they favor some parties over others when determining the price of political advertisement.