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推特上公众对电子烟中合成冷却剂的看法。

Public perceptions of synthetic cooling agents in electronic cigarettes on Twitter.

作者信息

Liu Andrew H, Hootman Julia, Li Dongmei, Xie Zidian

机构信息

Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.

Department of Computer Science, Xavier University, Cincinnati, Ohio, United States of America.

出版信息

PLoS One. 2024 Mar 12;19(3):e0292412. doi: 10.1371/journal.pone.0292412. eCollection 2024.

Abstract

Amid a potential menthol ban, electronic cigarette (e-cigarette) companies are incorporating synthetic cooling agents like WS-3 and WS-23 to replicate menthol/mint sensations. This study examines public views on synthetic cooling agents in e-cigarettes via Twitter data. From May 2021 to March 2023, we used Twitter Streaming Application Programming Interface (API), to collect tweets related to synthetic cooling agents with keywords such as 'WS-23,' 'ice,' and 'frozen.' The deep learning RoBERTa (Robustly Optimized BERT-Pretraining Approach) model that can be optimized for contextual language understanding was used to classify attitudes expressed in tweets about synthetic cooling agents and identify e-cigarette users. The BERTopic (a topic modeling technique that leverages Bidirectional Encoder Representations from Transformers) deep-learning model, specializing in extracting and clustering topics from large texts, identified major topics of positive and negative tweets. Two proportion Z-tests were used to compare the proportions of positive and negative attitudes between e-cigarette users (vapers) and non-e-cigarette-users (non-vapers). Of 6,940,065 e-cigarettes-related tweets, 5,788 were non-commercial tweets related to synthetic cooling agents. The longitudinal trend analysis showed a clear upward trend in discussions. Vapers posted most of the tweets (73.05%, 4,228/5,788). Nearly half (47.87%, 2,771/5,788) held a positive attitude toward synthetic cooling agents, which is significantly higher than those with a negative attitude (19.92%,1,153/5,788) with a P-value < 0.0001. The likelihood of vapers expressing positive attitudes (60.17%, 2,544/4,228) was significantly higher (P < 0.0001) than that of non-vapers (14.55%, 227/1,560). Conversely, negative attitudes from non-vapers (30%, 468/1,560) were significantly (P < 0.0001) higher than vapers (16.2%, 685/4,228). Prevalent topics from positive tweets included "enjoyment of specific vape flavors," "preference for lush ice vapes," and "liking of minty/icy feelings." Major topics from negative tweets included "disliking certain vape flavors" and "dislike of others vaping around them." On Twitter, vapers are more likely to have a positive attitude toward synthetic cooling agents than non-vapers. Our study provides important insights into how the public perceives synthetic cooling agents in e-cigarettes. These insights are crucial for shaping future U.S. Food and Drug Administration (FDA) regulations aimed at safeguarding public health.

摘要

在可能禁止薄荷醇的背景下,电子烟公司正在添加WS-3和WS-23等合成冷却剂来复制薄荷醇/薄荷的感觉。本研究通过推特数据调查公众对电子烟中合成冷却剂的看法。从2021年5月到2023年3月,我们使用推特流式应用程序编程接口(API),收集与合成冷却剂相关的推文,关键词如“WS-23”、“冰”和“冷冻”。可针对上下文语言理解进行优化的深度学习RoBERTa(稳健优化的BERT预训练方法)模型,用于对推文中表达的关于合成冷却剂的态度进行分类,并识别电子烟用户。BERTopic(一种利用来自变换器的双向编码器表示的主题建模技术)深度学习模型,专门用于从大文本中提取和聚类主题,识别了正面和负面推文的主要主题。使用双比例Z检验来比较电子烟使用者(吸电子烟者)和非电子烟使用者(非吸电子烟者)之间正面和负面态度的比例。在6940065条与电子烟相关的推文中,5788条是与合成冷却剂相关的非商业推文。纵向趋势分析显示讨论呈明显上升趋势。吸电子烟者发布了大部分推文(73.05%,4228/57

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8ce/10931480/645acf0dee00/pone.0292412.g001.jpg

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