Content Analysis of YouTube Videos Related to E-cigarettes and COVID-19

Abstract

INTRODUCTIONE-cigarettes are frequently promoted on social media and portrayed in ways that are attractive to youth. While COVID-19 pandemic significantly affected people’s lives, less known is how the pandemic influenced e-cigarette-related marketing and information on social media. This study identifies how e-cigarettes are portrayed during the COVID-19 pandemic on YouTube, one of the most popular social media platforms.METHODSWe searched for combinations of search terms related to e-cigarettes (i.e., “electronic cigarette”, “e-cigarette”, “e-cig”, “vape” and “vaping”) and COVID-19 (i.e., “corona”, “COVID”, “lockdown” and “pandemic”). To be included in the analysis, the video must be: uploaded after February 1, 2020, in English, related to e-cigarettes and COVID-19 and less than 30 minutes in length. We assessed video themes related to e-cigarettes and COVID-19, uploader characteristics, and featured e-cigarette products.RESULTSWe examined N=307 videos and found that N=220 (73.6%) were related to the health effects of e-cigarette use on COVID-19, followed by videos of how COVID-19 affects e-cigarette access/sales (N=40, 12.9%), and face mask-related videos (N=16, 5.1%) which included content regarding masks and e-cigarette use. Instructional videos on how to modify e-cigarettes to use with masks had the highest number of likes (Median=23; IQR=32) and comments (Median=10; IQR=7).CONCLUSIONSThis study identified various e-cigarette contents on YouTube during the COVID-19 pandemic. Our findings support the need for continuous surveillance on novel vaping-related content in reaction to policies and events such as the global pandemic on social media is needed.

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“…The Kolmogorov-Smirnov test was used to test whether the data conformed to a normal distribution. The Kruskal-Wallis test was used to determine whether differences existed between total usefulness scores and categories and Pearson chi-square test for categorical variables [29]. A two-tailed p-value < 0.05 was considered statistically significant.…”