Science Communication Desperately Needs More Aligned Recommendation Algorithms

Bibliographic Data

ID22092991
AuthorsLe Nguyen Hoang (0000-0001-6706-1498, Ecole polytechnique fédérale de Lausanne, corresponding author)
Year2020
Volume5
Publication date2020-12-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Communication (JOURNAL)
Journal identifiersISSN: 2297-900X • E-ISSN: 2297-900X
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fcomm.2020.598454
OpenAlexW3112288276
LanguageEN
References cited21

With 1 billion watch-time hours per day, YouTube now plays a major role in communication. Unfortunately, a large amount of misinformation is produced and widely shared on this platform (Donzelli et al., 2018 ; Allgaier, 2019 ; Loeb et al., 2019 ). In this paper, after providing a brief overview of the creation of science content on YouTube, we particularly emphasize the importance of YouTube's automated recommendations. We then discuss the main challenges of making such recommendations aligned with quality science communication

Computer security · Data science · Epistemology · Mathematics education · Misinformation · Science communication · Science education · Computer Science · Media Influence and Health · Misinformation and Its Impacts · Psychology · Public Relations and Crisis Communication