Allem Jon-Patrick, Majmundar Anuja, Dharmapuri Likhit, Cruz Tess Boley, Unger Jennifer B
Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Department of Computer Science, University of Southern California, Los Angeles, CA, USA.
Addict Behav Rep. 2019 Jun 7;10:100196. doi: 10.1016/j.abrep.2019.100196. eCollection 2019 Dec.
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.
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).
The most prevalent topic was at 29.35% followed by at 24.22%, and at 21.47%. was next most prevalent at 17.61% followed by at 16.83%, and at 6.39%. was rare at 0.57%.
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.
电子烟液是通过电子烟设备雾化以产生蒸汽的溶液。不断发展的电子烟液及其相应设备会影响与这些产品相关的用户体验。关于电子烟液的推特对话能够捕捉到与电子烟液相关的显著行为、社会和交流线索。我们分析推特数据以确定关于电子烟液对话的关键主题,为监测和监管工作提供信息。
从2018年1月1日至2018年12月31日获取包含电子烟液相关术语(“电子烟液”“电子烟油”)的推特帖子。使用文本分类器识别帖子主题(n = 15927)。
最普遍的主题占29.35%,其次是占24.22%,占21.47%。接下来最普遍的是占17.61%,其次是占16.83%,占6.39%。占0.57%,较为罕见。
这些结果表明,口味、大麻、尼古丁的健康风险和成分应被视为未来监测、公共政策以及针对电子烟液使用的干预措施的目标。推特提供了大量机会来影响电子烟相关产品在非吸烟者和年轻人中的常态化及接受程度,除非制定监管限制措施和开展反宣传活动以降低这种风险。