Camille roth, French researcher

In a recent study, researchers found out how the successive recommendations generated by Youtube's algorithm sometimes "confine" us in a bubble of similar content.Camille Roth, a CNRS researcher at the Centre Marc Bloch - Franco-German Research Centre for the Social Sciences (CNRS/MEAE/MESRI/BMBF), and his colleagues Antoine Mazieres and Telmo Menezes, have studied this phenomenon by exploring recommendations from a thousand videos on different subjects, thereby running through half a million recommendations. This research was published in the journal PLOS ONE.Their results show that contrary to the algorithms of other platforms, which seem to promote the exploration of novelty and serendipity, YouTube's is actually an exception, generating a number of confinement phenomena.A user's navigation based on recommendations can be seen as a movement within a network of interconnected videos: by starting out from a particular video, the recommendation network is more or less closed, in other words, it leads to content that is more or less similar and redundant.In addition, the content that leads to the most confined recommendation networks also seems to revolve around the most viewed videos or the ones with the longest viewing time.( With inputs from ANI )

Home

City

Latest News

Cricket

LT Premium

National

International

Maharashtra

Opinions

Chhatrapati Sambhajinagar

Nagpur

Entertainment

Photos

Business

Technology

Sports

Lifestyle

Social Viral

Lokmat Games

Health

Narendra Modi

Lok Sabha Election 2024

Heatwave In India

Mumbai Mega Block

Maharashtra Lok Sabha Election

T20 World Cup 2024

Camille RothFOLLOW

Camille roth, Latest News

Lifestyle :Here's how people end up being 'confined' on YouTube

Successive recommendations generated by Youtube's algorithm may limit us from the exploration of novel content, according to a recent study. ...

Lifestyle :Researchers find how we end up confined in bubble of similar content on YouTube

In a recent study, researchers found out how the successive recommendations generated by Youtube's algorithm sometimes "confine" us in a bubble of similar content. ...