Algorithmes de recommandation et culture technique : penser le dialogue entre éducation et design
(2021) tic & société — Vol. 15, n° 1, p. 127-157 (2021)
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- Abstract
- (en) In order to respond to the multiplication of media content accessible online, 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 opinion available within increasingly personalized media spaces. By combining the results of research in the social sciences and computer sciences, this article will examine the relevance of the "filter bubble" theory. Through the analysis of two case studies on the modalities of appropriation of recommendation systems by young people and on the modelling of alternative approaches, we will examine how the dialogue between media education and algorithm design can contribute to rethinking our relations with so-called "intelligent" technologies.
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Citations
Claes, A., Wiard, V., Mercenier, H., Philippette, T., Dufrasne, M., Browet, A., & Jungers, R. (2021). Algorithmes de recommandation et culture technique : penser le dialogue entre éducation et design. tic & société, 15(1), 127-157. https://doi.org/10.4000/ticetsociete.5915 (Original work published 2021)