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E-liquid-related posts to Twitter in 2018: Thematic analysis

INTRODUCTION: E-liquid is the solution aerosolized by e-cigarette devices to produce vapor. Continuously evolving e-liquids, and corresponding devices, can affect user experiences associated with these products. Twitter conversations about e-liquids can capture salient behavioral, social, and commun...

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Autores principales: Allem, Jon-Patrick, Majmundar, Anuja, Dharmapuri, Likhit, Cruz, Tess Boley, Unger, Jennifer B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6579902/
https://www.ncbi.nlm.nih.gov/pubmed/31431917
http://dx.doi.org/10.1016/j.abrep.2019.100196
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author Allem, Jon-Patrick
Majmundar, Anuja
Dharmapuri, Likhit
Cruz, Tess Boley
Unger, Jennifer B.
author_facet Allem, Jon-Patrick
Majmundar, Anuja
Dharmapuri, Likhit
Cruz, Tess Boley
Unger, Jennifer B.
author_sort Allem, Jon-Patrick
collection PubMed
description INTRODUCTION: E-liquid is the solution aerosolized by e-cigarette devices to produce vapor. Continuously evolving e-liquids, and corresponding devices, can affect user experiences associated with these products. Twitter conversations about e-liquids can capture salient behavioral, social, and communicative cues associated with e-liquids. We analyzed Twitter data to characterize key topics of conversation about e-liquids to inform surveillance, and regulatory efforts. METHODS: Twitter posts containing e-liquid-related terms (“e-liquid(s),” “e-juice(s)”) were obtained from 1 January 2018 to 31 December 2018. Text classifiers were used to identify topics of the posts (n = 15,927). RESULTS: The most prevalent topic was Promotional at 29.35% followed by Flavors at 24.22%, and Person Tagging at 21.47%. Juice Composition was next most prevalent at 17.61% followed by Cannabis at 16.83%, and Nicotine Health Risks at 6.39%. Quit Smoking was rare at 0.57%. CONCLUSION: These results suggest that flavors, cannabis, health risks of nicotine, and composition warrant consideration as targets in future surveillance, public policy, and interventions addressing the use of e-liquids. Twitter provides ample opportunity to influence the normalization, and uptake, of e-cigarette-related products among non-smokers and youth, unless regulatory restrictions, and counter messaging campaigns are developed to reduce this risk.
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spelling pubmed-65799022019-08-20 E-liquid-related posts to Twitter in 2018: Thematic analysis Allem, Jon-Patrick Majmundar, Anuja Dharmapuri, Likhit Cruz, Tess Boley Unger, Jennifer B. Addict Behav Rep Research Paper INTRODUCTION: E-liquid is the solution aerosolized by e-cigarette devices to produce vapor. Continuously evolving e-liquids, and corresponding devices, can affect user experiences associated with these products. Twitter conversations about e-liquids can capture salient behavioral, social, and communicative cues associated with e-liquids. We analyzed Twitter data to characterize key topics of conversation about e-liquids to inform surveillance, and regulatory efforts. METHODS: Twitter posts containing e-liquid-related terms (“e-liquid(s),” “e-juice(s)”) were obtained from 1 January 2018 to 31 December 2018. Text classifiers were used to identify topics of the posts (n = 15,927). RESULTS: The most prevalent topic was Promotional at 29.35% followed by Flavors at 24.22%, and Person Tagging at 21.47%. Juice Composition was next most prevalent at 17.61% followed by Cannabis at 16.83%, and Nicotine Health Risks at 6.39%. Quit Smoking was rare at 0.57%. CONCLUSION: These results suggest that flavors, cannabis, health risks of nicotine, and composition warrant consideration as targets in future surveillance, public policy, and interventions addressing the use of e-liquids. Twitter provides ample opportunity to influence the normalization, and uptake, of e-cigarette-related products among non-smokers and youth, unless regulatory restrictions, and counter messaging campaigns are developed to reduce this risk. Elsevier 2019-06-07 /pmc/articles/PMC6579902/ /pubmed/31431917 http://dx.doi.org/10.1016/j.abrep.2019.100196 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Allem, Jon-Patrick
Majmundar, Anuja
Dharmapuri, Likhit
Cruz, Tess Boley
Unger, Jennifer B.
E-liquid-related posts to Twitter in 2018: Thematic analysis
title E-liquid-related posts to Twitter in 2018: Thematic analysis
title_full E-liquid-related posts to Twitter in 2018: Thematic analysis
title_fullStr E-liquid-related posts to Twitter in 2018: Thematic analysis
title_full_unstemmed E-liquid-related posts to Twitter in 2018: Thematic analysis
title_short E-liquid-related posts to Twitter in 2018: Thematic analysis
title_sort e-liquid-related posts to twitter in 2018: thematic analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6579902/
https://www.ncbi.nlm.nih.gov/pubmed/31431917
http://dx.doi.org/10.1016/j.abrep.2019.100196
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