Bredowcast (BredowCast MP3)   /     Recommender Systems: Igor, Gabriela and their YouTube journey

Description

Igor and Gabriela are fictional characters created by media researcher Dr. Jonathon Hutchinson. In his current project, Jonathon tries to uncover patterns in YouTube’s recommender system. For that purpose he created individual YouTube accounts for five different fictional characters and observed how differently YouTube’s algorithm treats its users. Igor, a 40-something male living in Russia, Gabriela, a grandmother living in Brazil and the other characters are exposed to radically different video content when navigating the platform. In the BredowCast Jonathon talks to Johanna Sebauer about researching digital spheres as an ethnographer, about how YouTube’s recommender system might influence people’s information behavior and what public service broadcasters could do to uphold information diversity. Jonathon Hutchinson is a lecturer in online communication and media at the University of Sydney and currently a visiting fellow at the Leibniz Institute for Media Research | Hans-Bredow-Institut (HBI). --- Links Guest: Dr. Jonathon Hutchinson https://www.leibniz-hbi.de/en/staff/jonathon-hutchinson http://jonathonhutchinson.com.au/ https://twitter.com/dhutchman Publications You can find all publications by Jonathon on his website http://jonathonhutchinson.com.au/publications/ Host: Johanna Sebauer https://www.leibniz-hbi.de/en/staff/johanna-sebauer Twitter - @JohannaSebauer: https://twitter.com/JohannaSebauer Contact Leibniz-Institut für Medienforschung | Hans-Bredow-Institut (HBI) https://www.leibniz-hbi.de/en The Institute on Twitter https://twitter.com/BredowInstitut E-Mail to the Podcast-Team podcast@hans-bredow-institut.de

Summary

Igor and Gabriela are fictional characters created by media researcher Dr. Jonathon Hutchinson. In his current project, Jonathon tries to uncover patterns in YouTube’s recommender system. For that purpose he created individual YouTube accounts for five different fictional characters and observed how differently YouTube’s algorithm treats its users. Igor, a 40-something male living in Russia, Gabriela, a grandmother living in Brazil and the other characters are exposed to radically different video content when navigating the platform. In the BredowCast Jonathon talks to Johanna Sebauer about researching digital spheres as an ethnographer, about how YouTube’s recommender system might influence people’s information behavior and what public service broadcasters could do to uphold information diversity. Jonathon Hutchinson is a lecturer in online communication and media at the University of Sydney and currently a visiting fellow at the Leibniz Institute for Media Research | Hans-Bredow-Institut (HBI). --- Links Guest: Dr. Jonathon Hutchinson https://www.leibniz-hbi.de/en/staff/jonathon-hutchinson http://jonathonhutchinson.com.au/ https://twitter.com/dhutchman Publications You can find all publications by Jonathon on his website http://jonathonhutchinson.com.au/publications/ Host: Johanna Sebauer https://www.leibniz-hbi.de/en/staff/johanna-sebauer Twitter - @JohannaSebauer: https://twitter.com/JohannaSebauer Contact Leibniz-Institut für Medienforschung | Hans-Bredow-Institut (HBI) https://www.leibniz-hbi.de/en The Institute on Twitter https://twitter.com/BredowInstitut E-Mail to the Podcast-Team podcast@hans-bredow-institut.de

Subtitle
Dr. Jonathon Hutchinson researches YouTube’s recommender system.
Duration
00:59:11
Publishing date
2019-05-29 07:08
Link
https://podcast.hans-bredow-institut.de/2019/brc044-recommender-systems-igor-gabriela-and-their-youtube-journey/
Deep link
https://podcast.hans-bredow-institut.de/2019/brc044-recommender-systems-igor-gabriela-and-their-youtube-journey/#
Contributors
  Johanna Sebauer
contributor  
  Leibniz Institut für Medienforschung | Hans-Bredow-Institut (HBI)
author  
  Jonathon Hutchinson
contributor  
Enclosures
https://podcast.hans-bredow-institut.de/podlove/file/1303/s/feed/c/bredowcast-mp3/brc044-recommender-systems-igor-gabriela-and-their-youtube-journey.mp3
audio/mpeg