Identification and Characterization of Synthetic Nicotine Product Promotion and Sales on Instagram Using Natural Language Processing.

Non-tobacco nicotine Synthetic Nicotine electronic cigarette delivery system flavored e-liquids illicit sales natural language processing nicotine pouch social media youth vaping

Journal

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
ISSN: 1469-994X
Titre abrégé: Nicotine Tob Res
Pays: England
ID NLM: 9815751

Informations de publication

Date de publication:
08 Nov 2023
Historique:
received: 14 04 2023
medline: 10 11 2023
pubmed: 10 11 2023
entrez: 10 11 2023
Statut: aheadofprint

Résumé

There has been a rapid proliferation of synthetic nicotine products in recent years, despite newly established regulatory authority and limited research into its health risks. Previous research has implicated social media platforms as an avenue for nicotine product unregulated sales. Yet, little is known about synthetic nicotine product content on social media. We utilized natural language processing to characterize the sales of synthetic nicotine products on Instagram. We collected Instagram posts by querying Instagram hashtags (e.g., "#tobaccofreenicotine) related to synthetic nicotine. Using BERT, collected posts were categorized into thematically related topic clusters. Posts within topic clusters relevant to study aims were then manually annotated for variables related to promotion and selling (e.g., cost discussion, contact information for offline sales). A total of 7,425 unique posts were collected with 2,219 posts identified as related to promotion and selling of synthetic nicotine products. Nicotine pouches (52.9%, n=1174), ENDS (30.6%, n=679), and flavored e-liquids (14.1%, n=313) were most commonly promoted. 16.1% (n=345) of posts contained embedded hyperlinks and 5.8% (n=129) provided contact information for purported offline transactions. Only 17.6% (n=391) of posts contained synthetic nicotine specific health warnings. In the United States, synthetic nicotine products can only be legally marketed if they have received premarket authorization from the FDA. Despite these prohibitions, Instagram appears to be a hub for potentially unregulated sales of synthetic and "tobacco-free" products. Efforts are needed by platforms and regulators to enhance content moderation and prevent unregulated online sales of existing and emerging synthetic nicotine products. There is limited clinical understanding of synthetic nicotine's unique health risks and how these novel products are changing over time due to regulatory oversight. Despite synthetic nicotine specific regulatory measures, such as the requirement for premarket authorization and FDA warning letters issued to unauthorized sellers, access to and promotion of synthetic nicotine is widely occurring on Instagram, a platform with over 2 billion users and one that is popular among youth and young adults. Activities include direct-to-consumer sales from questionable sources, inadequate health warning disclosure, and exposure with limited age restrictions, all conditions necessary for the sale of various tobacco products. Notably, the number of these Instagram posts increased in response to the announcement of new FDA regulations. In response, more robust online monitoring, content moderation, and proactive enforcement is needed from platforms who should work collaboratively with regulators to identify, report, and remove content in clear violation of platform policies and federal laws. Regulatory implementation and enforcement should prioritize digital platforms as conduits for unregulated access to synthetic nicotine products and other future novel and emerging tobacco products.

Identifiants

pubmed: 37947271
pii: 7382254
doi: 10.1093/ntr/ntad222
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Neal A Shah (NA)

Department of Anesthesiology and Division of Infectious Disease and Global Public Health, University of California, San Diego School of Medicine, San Diego, CA USA.
Global Health Policy and Data Institute, San Diego, CA USA.

Zhuoran Li (Z)

San Diego Supercomputer Center, University of California, San Diego, CA USA.
S-3 Research, San Diego, CA USA.

Tiana McMann (T)

Department of Anesthesiology and Division of Infectious Disease and Global Public Health, University of California, San Diego School of Medicine, San Diego, CA USA.
Global Health Policy and Data Institute, San Diego, CA USA.

Alec J Calac (AJ)

Department of Anesthesiology and Division of Infectious Disease and Global Public Health, University of California, San Diego School of Medicine, San Diego, CA USA.
Global Health Policy and Data Institute, San Diego, CA USA.

Nicolette Le (N)

Department of Anesthesiology and Division of Infectious Disease and Global Public Health, University of California, San Diego School of Medicine, San Diego, CA USA.
Global Health Policy and Data Institute, San Diego, CA USA.

Matthew C Nali (MC)

Department of Anesthesiology and Division of Infectious Disease and Global Public Health, University of California, San Diego School of Medicine, San Diego, CA USA.
Global Health Policy and Data Institute, San Diego, CA USA.
S-3 Research, San Diego, CA USA.

Raphael E Cuomo (RE)

Department of Anesthesiology and Division of Infectious Disease and Global Public Health, University of California, San Diego School of Medicine, San Diego, CA USA.
Global Health Policy and Data Institute, San Diego, CA USA.

Tim K Mackey (TK)

Global Health Program Department of Anthropology, University of California, San Diego.
Global Health Policy and Data Institute, San Diego, CA USA.
S-3 Research, San Diego, CA USA.

Classifications MeSH