2021
DOI: 10.3389/fpubh.2021.628812
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Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses

Abstract: 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 manuall… Show more

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Cited by 4 publications
(3 citation statements)
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“…It can also generate broader insights into the content of the full corpus of data in comparison with keyword searches or filtering datasets for certain terms, particularly in the context of helping to filter out irrelevant posts that have similar keywords but are not relevant to a certain research topic or area of exploration. BTM has successfully been used to conduct content analysis on a variety of underexplored public health topics on social media platforms, including opioid use disorder, drug diversion, COVID-19 and exploring tobacco and vaping user self-reported behaviour 18 20–22…”
Section: Methodsmentioning
confidence: 99%
“…It can also generate broader insights into the content of the full corpus of data in comparison with keyword searches or filtering datasets for certain terms, particularly in the context of helping to filter out irrelevant posts that have similar keywords but are not relevant to a certain research topic or area of exploration. BTM has successfully been used to conduct content analysis on a variety of underexplored public health topics on social media platforms, including opioid use disorder, drug diversion, COVID-19 and exploring tobacco and vaping user self-reported behaviour 18 20–22…”
Section: Methodsmentioning
confidence: 99%
“…Human annotators manually assessed posts relating to the study theme corresponding to user-generated tobacco products or related behavior, for face validity. Human annotators were trained in tobacco research and have participated in prior research infoveillance research [18,19]. Posts were manually annotated for positive, negative, or neutral sentiment toward smoking.…”
Section: Quantitative Data Analysismentioning
confidence: 99%
“…Relatedly, nicotine sickness cases that are not reported to poison control centers have the potential to be identified through alternative surveillance methods, including infoveillance approaches using social media, as has been widely used in other areas of tobacco control research [16][17][18][19] . The popular global microblogging platform Twitter is a common infoveillance data source, where 32% of adolescents and 42% of young adults, respectively, report use 20 .…”
Section: Introductionmentioning
confidence: 99%