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

机译:为加州大学校园进行地Geolocated的自我报告的烟草,Vaping和Marijuana相关的推文

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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.
机译:简介:大学青年在社交媒体上积极参与,但没有彻底调查这些人口的吸烟有关的社交媒体参与。我们试图开展专注于地理位置数据的探索性Infopeillance研究,以表征来自加利福尼亚州4年高校的吸烟相关的推文。方法:2015年至2019年推文,含有吸烟相关关键词的CA Collectial Compusites的发布型坐标由Twitter API流收集并手动注释,以讨论吸烟产品类型,情绪和行为。结果:除了吸烟有关的行为的所有推文中,46.7%与烟草使用,50.0%到大麻,7.3%才能探测。在这些推文中,46.1%报告的第一人称使用或对吸烟行为的二手观察。在962年推文中,大多数(67.6%)是积极的,加州州立大学的55.0%,加州州立大学的长滩长达95.8%,洛杉矶。讨论:我们检测了代表可能违反校园吸烟禁令的CA Collegus校园的第一和二手吸烟行为的报告。大多数推文对吸烟行为的积极情绪表达了积极的情绪,尽管大学校园之间存在明显的变化。这表明反吸烟外展应根据这些大学社区的独特学生群体量身定制。结论:在加利福尼亚州吸烟的推文中,高水平的积极情绪表明,校园气候可能不太容易受到吸烟的信息或遵守校园吸烟禁令。进一步的研究应调查校园随着时间的推移而变化的程度,并且在实施禁止的情况下,包括使用其他数据来源的验证。

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