“Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study

Social media platforms such as YouTube are hotbeds for the spread of misinformation about vaccines. The aim of this study was to explore how individuals are exposed to antivaccine misinformation on YouTube based on whether they start their viewing from a keyword-based search or from antivaccine seed...

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Vydané v:Journal of medical Internet research Ročník 23; číslo 1; s. e23262
Hlavní autori: Tang, Lu, Fujimoto, Kayo, Amith, Muhammad (Tuan), Cunningham, Rachel, Costantini, Rebecca A, York, Felicia, Xiong, Grace, Boom, Julie A, Tao, Cui
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Canada Gunther Eysenbach MD MPH, Associate Professor 05.01.2021
JMIR Publications
Predmet:
Algorithms
Annotations
Application programming interface
Autism
Communication
Conspiracy
Data analysis
Data collection
False information
Humans
Immunization
Information Dissemination - methods
Internet
Keywords
Mass media
Misinformation
Navigation
Networks
Original Paper
Social media
Social Media - standards
Social networks
Vaccines
Vaccines - therapeutic use
Viewers
infodemic
vaccine
network analysis
misinformation
infodemiology
YouTube
ISSN:1438-8871, 1439-4456, 1438-8871
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Shrnutí:Social media platforms such as YouTube are hotbeds for the spread of misinformation about vaccines. The aim of this study was to explore how individuals are exposed to antivaccine misinformation on YouTube based on whether they start their viewing from a keyword-based search or from antivaccine seed videos. Four networks of videos based on YouTube recommendations were collected in November 2019. Two search networks were created from provaccine and antivaccine keywords to resemble goal-oriented browsing. Two seed networks were constructed from conspiracy and antivaccine expert seed videos to resemble direct navigation. Video contents and network structures were analyzed using the network exposure model. Viewers are more likely to encounter antivaccine videos through direct navigation starting from an antivaccine video than through goal-oriented browsing. In the two seed networks, provaccine videos, antivaccine videos, and videos containing health misinformation were all found to be more likely to lead to more antivaccine videos. YouTube has boosted the search rankings of provaccine videos to combat the influence of antivaccine information. However, when viewers are directed to antivaccine videos on YouTube from another site, the recommendation algorithm is still likely to expose them to additional antivaccine information.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1438-8871
1439-4456
1438-8871
DOI:10.2196/23262