Algorithmes de recommandation et culture technique : penser le dialogue entre éducation et design

Abstract

In order to respond to the proliferation of online media content, many platforms now use recommendation algorithms to structure and prioritize information flows. These technologies are criticized for the importance they attach to immediate user satisfaction, threatening the diversity of opinions available within increasingly personalized media spaces. By combining the results of research in the social sciences and computer sciences, this article examines the relevance of the "filter bubble" theory. Through the analysis of two case studies, one on how young people appropriate recommendation systems and the other on modelling alternative approaches, we will examine how the dialogue between media education and algorithm design can help us rethink our relations with so-called "intelligent" technologies.

Keywords

• algorithm
• Media literacy
• Design
• Filter bubble
• Technical Culture