Evaluate the impact of autoplay and video recommendation features in video delivery platforms

Contract type : Fixed-term contract

Level of qualifications required : PhD or equivalent

Fonction : Tempary Research Position

About the research centre or Inria department

The Inria Centre at Rennes University is one of Inria's eight centres and has more than thirty research teams. The Inria Centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute, etc.

Context

 

Context: Most of video delivery platforms have developed tools to create addiction at the user’s side when watching videos. The two most well-known ones are the Autoplay and the recommandations. As defined on the Google Support website: “The Autoplay feature on YouTube makes it easier to decide what to watch next. When Autoplay is on, another related video will automatically play after a video ends.” This feature also exists on other platforms such as Netflix. The recommendation consists in proposing, at the end of a video, a list of other videos that are related with what has been just watched and what the user likes in general. Autoplay and
recommendations also contribute to the creation of filter bubbles for YouTube users. Limiting Autoplay and recommendations could help ’burst the bubble’, fostering a more balanced and diverse flow of information while reducing the risk of addiction

Assignment

The hired researcher will work in the Compact team of Inria. This team is specialized in image/Video processing and compression.

The hired researcher will be in close collaboration with:

  • research teams specialized in informatics/signal processing:  MAGELLAN team of IRISA, the VAADER team of IETER/INSA
  • research laboratories of Human and Social Sciences: the UCO laboratory, the Arènes laboratory, and the LEGO laboratory at IMT Atlantique.

The hired researcher will conduct an experiment. The objective of this experiment is to evaluate the impact of the 'autoplay' and 'video recommendation' features on:
• the amount of video watched by a user
• other criteria linked with the user well-being (open-mindedness, emancipation, etc.)

The overall goal is to understand to what extent digital sobriety through promoting reduced technology usage, such as limiting video consumption on YouTube could help to the formation of a more sustainable society, empower users in their YouTube content choices and enhance their overall well-being.

Main activities

The hired researcher will build and supervise the experimentation in close collaboration with the project consortium.

The hired researcher will help the supervision of interns

Benefits package

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage