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Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses

Introduction: College-aged youth are active on social media yet smoking-related social media engagement in these populations has not been thoroughly investigated. We sought to conduct an exploratory infoveillance study focused on geolocated data to characterize smoking-related tweets originating fro...

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Autores principales: Cuomo, Raphael E., Purushothaman, Vidya L., Li, Jiawei, Bardier, Cortni, Nali, Matthew, Shah, Neal, Obradovich, Nick, Yang, Joshua, Mackey, Tim K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076505/
https://www.ncbi.nlm.nih.gov/pubmed/33928062
http://dx.doi.org/10.3389/fpubh.2021.628812
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author Cuomo, Raphael E.
Purushothaman, Vidya L.
Li, Jiawei
Bardier, Cortni
Nali, Matthew
Shah, Neal
Obradovich, Nick
Yang, Joshua
Mackey, Tim K.
author_facet Cuomo, Raphael E.
Purushothaman, Vidya L.
Li, Jiawei
Bardier, Cortni
Nali, Matthew
Shah, Neal
Obradovich, Nick
Yang, Joshua
Mackey, Tim K.
author_sort Cuomo, Raphael E.
collection PubMed
description Introduction: College-aged youth are active on social media yet smoking-related social media engagement in these populations has not been thoroughly investigated. We sought to conduct an exploratory infoveillance study focused on geolocated data to characterize smoking-related tweets originating from California 4-year colleges on Twitter. Methods: Tweets from 2015 to 2019 with geospatial coordinates in CA college campuses containing smoking-related keywords were collected from the Twitter API stream and manually annotated for discussions about smoking product type, sentiment, and behavior. Results: Out of all tweets detected with smoking-related behavior, 46.7% related to tobacco use, 50.0% to marijuana, and 7.3% to vaping. Of these tweets, 46.1% reported first-person use or second-hand observation of smoking behavior. Out of 962 tweets with user sentiment, the majority (67.6%) were positive, ranging from 55.0% for California State University, Long Beach to 95.8% for California State University, Los Angeles. Discussion: We detected reporting of first- and second-hand smoking behavior on CA college campuses representing possible violation of campus smoking bans. The majority of tweets expressed positive sentiment about smoking behaviors, though there was appreciable variability between college campuses. This suggests that anti-smoking outreach should be tailored to the unique student populations of these college communities. Conclusion: Among tweets about smoking from California colleges, high levels of positive sentiment suggest that the campus climate may be less receptive to anti-smoking messages or adherence to campus smoking bans. Further research should investigate the degree to which this varies by campuses over time and following implementation of bans including validating using other sources of data.
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spelling pubmed-80765052021-04-28 Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses Cuomo, Raphael E. Purushothaman, Vidya L. Li, Jiawei Bardier, Cortni Nali, Matthew Shah, Neal Obradovich, Nick Yang, Joshua Mackey, Tim K. Front Public Health Public Health Introduction: College-aged youth are active on social media yet smoking-related social media engagement in these populations has not been thoroughly investigated. We sought to conduct an exploratory infoveillance study focused on geolocated data to characterize smoking-related tweets originating from California 4-year colleges on Twitter. Methods: Tweets from 2015 to 2019 with geospatial coordinates in CA college campuses containing smoking-related keywords were collected from the Twitter API stream and manually annotated for discussions about smoking product type, sentiment, and behavior. Results: Out of all tweets detected with smoking-related behavior, 46.7% related to tobacco use, 50.0% to marijuana, and 7.3% to vaping. Of these tweets, 46.1% reported first-person use or second-hand observation of smoking behavior. Out of 962 tweets with user sentiment, the majority (67.6%) were positive, ranging from 55.0% for California State University, Long Beach to 95.8% for California State University, Los Angeles. Discussion: We detected reporting of first- and second-hand smoking behavior on CA college campuses representing possible violation of campus smoking bans. The majority of tweets expressed positive sentiment about smoking behaviors, though there was appreciable variability between college campuses. This suggests that anti-smoking outreach should be tailored to the unique student populations of these college communities. Conclusion: Among tweets about smoking from California colleges, high levels of positive sentiment suggest that the campus climate may be less receptive to anti-smoking messages or adherence to campus smoking bans. Further research should investigate the degree to which this varies by campuses over time and following implementation of bans including validating using other sources of data. Frontiers Media S.A. 2021-04-13 /pmc/articles/PMC8076505/ /pubmed/33928062 http://dx.doi.org/10.3389/fpubh.2021.628812 Text en Copyright © 2021 Cuomo, Purushothaman, Li, Bardier, Nali, Shah, Obradovich, Yang and Mackey. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Cuomo, Raphael E.
Purushothaman, Vidya L.
Li, Jiawei
Bardier, Cortni
Nali, Matthew
Shah, Neal
Obradovich, Nick
Yang, Joshua
Mackey, Tim K.
Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses
title Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses
title_full Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses
title_fullStr Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses
title_full_unstemmed Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses
title_short Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses
title_sort characterizing self-reported tobacco, vaping, and marijuana-related tweets geolocated for california college campuses
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076505/
https://www.ncbi.nlm.nih.gov/pubmed/33928062
http://dx.doi.org/10.3389/fpubh.2021.628812
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