Department of Anesthesiology, San Diego School of Medicine, University of California, San Diego, San Diego, CA, United States.
Global Health Policy and Data Institute, San Diego, CA, United States.
Front Public Health. 2021 Apr 13;9:628812. doi: 10.3389/fpubh.2021.628812. eCollection 2021.
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. 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. 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. 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. 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.
大学生群体在社交媒体上十分活跃,但针对该群体与吸烟相关的社交媒体使用情况,我们仍知之甚少。因此,我们旨在开展一项探索性的信息监测研究,该研究聚焦于地理位置数据,以描述加州四年制大学校园在 Twitter 上与吸烟相关的推文。我们从 Twitter API 流中收集了 2015 年至 2019 年间带有地理位置坐标且包含与吸烟相关关键词的推文,并对其进行了手动标注,以分析讨论有关吸烟产品类型、情绪和行为的推文。在所有检测到的与吸烟行为相关的推文中,46.7%与烟草使用有关,50.0%与大麻有关,7.3%与电子烟有关。在这些推文中,46.1%报告了第一人称使用或二手观察到的吸烟行为。在 962 条带有用户情绪的推文中,大多数(67.6%)情绪是积极的,其中加利福尼亚州立大学长滩分校为 55.0%,加州州立大学洛杉矶分校为 95.8%。我们在加州大学校园检测到与吸烟有关的第一手和第二手行为报告,这可能违反了校园禁烟令。大多数推文对吸烟行为表示了积极的情绪,尽管各所大学校园之间存在明显差异。这表明,针对这些大学生群体的反吸烟宣传应该进行个性化定制。在加州大学有关吸烟的推文中,高水平的积极情绪表明,校园氛围可能对反吸烟信息或遵守校园禁烟令的态度不太接受。进一步的研究应该调查随着时间的推移以及在实施禁令之后,这种情况在各校园之间的变化程度,包括使用其他数据源进行验证。