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

BACKGROUND: Social media platforms such as YouTube are hotbeds for the spread of misinformation about vaccines. OBJECTIVE: 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 o...

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Autores principales: Tang, Lu, Fujimoto, Kayo, Amith, Muhammad (Tuan), Cunningham, Rachel, Costantini, Rebecca A, York, Felicia, Xiong, Grace, Boom, Julie A, Tao, Cui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815449/
https://www.ncbi.nlm.nih.gov/pubmed/33399543
http://dx.doi.org/10.2196/23262
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author Tang, Lu
Fujimoto, Kayo
Amith, Muhammad (Tuan)
Cunningham, Rachel
Costantini, Rebecca A
York, Felicia
Xiong, Grace
Boom, Julie A
Tao, Cui
author_facet Tang, Lu
Fujimoto, Kayo
Amith, Muhammad (Tuan)
Cunningham, Rachel
Costantini, Rebecca A
York, Felicia
Xiong, Grace
Boom, Julie A
Tao, Cui
author_sort Tang, Lu
collection PubMed
description BACKGROUND: Social media platforms such as YouTube are hotbeds for the spread of misinformation about vaccines. OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
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spelling pubmed-78154492021-01-26 “Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study Tang, Lu Fujimoto, Kayo Amith, Muhammad (Tuan) Cunningham, Rachel Costantini, Rebecca A York, Felicia Xiong, Grace Boom, Julie A Tao, Cui J Med Internet Res Original Paper BACKGROUND: Social media platforms such as YouTube are hotbeds for the spread of misinformation about vaccines. OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. JMIR Publications 2021-01-05 /pmc/articles/PMC7815449/ /pubmed/33399543 http://dx.doi.org/10.2196/23262 Text en ©Lu Tang, Kayo Fujimoto, Muhammad (Tuan) Amith, Rachel Cunningham, Rebecca A Costantini, Felicia York, Grace Xiong, Julie A Boom, Cui Tao. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 05.01.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Tang, Lu
Fujimoto, Kayo
Amith, Muhammad (Tuan)
Cunningham, Rachel
Costantini, Rebecca A
York, Felicia
Xiong, Grace
Boom, Julie A
Tao, Cui
“Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study
title “Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study
title_full “Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study
title_fullStr “Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study
title_full_unstemmed “Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study
title_short “Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study
title_sort “down the rabbit hole” of vaccine misinformation on youtube: network exposure study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815449/
https://www.ncbi.nlm.nih.gov/pubmed/33399543
http://dx.doi.org/10.2196/23262
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