Is YouTube promoting the exotic pet trade? Analysis of the global public perception of popular YouTube videos featuring threatened exotic animals.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 13 06 2020
accepted: 27 03 2021
entrez: 13 4 2021
pubmed: 14 4 2021
medline: 15 9 2021
Statut: epublish

Résumé

The exploitation of threatened exotic species via social media challenges efforts to regulate the exotic pet trade and consequently threatens species conservation. To investigate how such content is perceived by the global community, mixed model sentiment analysis techniques were employed to explore variations in attitudes expressed through text and emoji usage in public comments associated with 346 popular YouTube® videos starring exotic wild cats or primates in 'free handling' situations. Negative interactions between wild cats and primates with other species were found to be associated with both text and emoji median sentiment reduction, however were still accompanied by a median emoji sentiment above zero. Additionally, although a negative trend in median text sentiment was observed in 2015 for primates, an otherwise consistent positive median text and emoji sentiment score through time across all IUCN Red List categories was revealed in response to both exotic wild cat and primate videos, further implying the societal normalisation and acceptance of exotic pets. These findings highlight the urgency for effective YouTube® policy changes and content management to promote public education and conservation awareness, whilst extinguishing false legitimisation and demand for the exotic pet trade.

Identifiants

pubmed: 33848287
doi: 10.1371/journal.pone.0235451
pii: PONE-D-20-17651
pmc: PMC8043400
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0235451

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Georgia Kate Moloney (GK)

School of Animal and Veterinary Sciences, The University of Adelaide, Adelaide, South Australia, Australia.

Jonathan Tuke (J)

School of Mathematical Sciences, The University of Adelaide, Adelaide, South Australia, Australia.

Eleonora Dal Grande (E)

School of Animal and Veterinary Sciences, The University of Adelaide, Adelaide, South Australia, Australia.

Torben Nielsen (T)

School of Animal and Veterinary Sciences, The University of Adelaide, Adelaide, South Australia, Australia.

Anne-Lise Chaber (AL)

School of Animal and Veterinary Sciences, The University of Adelaide, Adelaide, South Australia, Australia.

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Classifications MeSH