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社交媒体平台上用户对大麻二酚态度的比较:主题建模研究。

Comparison of the Users' Attitudes Toward Cannabidiol on Social Media Platforms: Topic Modeling Study.

机构信息

School of Public Health, Peking University, Beijing, China.

School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China.

出版信息

JMIR Public Health Surveill. 2023 Jan 11;9:e34132. doi: 10.2196/34132.

DOI:10.2196/34132
PMID:36630175
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9878368/
Abstract

BACKGROUND

As one of the major constituents of the cannabis sativa plant, cannabidiol (CBD) is approved for use in medical treatment and cosmetics because of its potential health benefits. With the rapid growth of the CBD market, customers purchase these products, and relevant discussions are becoming more active on social media.

OBJECTIVE

In this study, we aimed to understand the users' attitudes toward CBD products in various countries by conducting text mining on social media in countries with different substance management policies.

METHODS

We collected posts from Reddit and Xiaohongshu, conducted topic mining using the latent Dirichlet allocation model, and analyzed the characteristics of topics on different social media. Subsequently, a co-occurrence network of high-frequency keywords was constructed to explore potential relationships among topics. Moreover, we conducted sentiment analysis on the posts' comments and compared users' attitudes toward CBD products on Reddit and Xiaohongshu using chi-square test.

RESULTS

CBD-related posts on social media have been rapidly increasing, especially on Xiaohongshu since 2019. A total of 1790 posts from Reddit and 1951 posts from Xiaohongshu were included in the final analysis. The posts on the 2 social media platforms, Reddit and Xiaohongshu, were categorized into 7 and 8 topics, respectively, by the latent Dirichlet allocation model, and these topics on the 2 social media were grouped into 5 themes. Our study showed that the themes on Reddit were mainly related to the therapeutic effects of CBD, whereas the themes on Xiaohongshu concentrated on cosmetics, such as facial masks. Theme 2 (CBD market information) and theme 3 (attitudes toward CBD) on Reddit had more connections with other themes in the co-occurrence network, and theme 3 and theme 1 (CBD therapeutic effects) had a high co-occurrence frequency (22,803/73,865, 30.87%). Meanwhile, theme 1 (CBD cosmetics) on Xiaohongshu had various connections with others (169,961/384,575, 44.19%), and the co-occurrence frequency of theme 4 (CBD ingredients) and theme 1 was relatively prominent (27,128/49,312, 55.01%). Overall, users' comments tended to be positive for CBD-related information on both Reddit and Xiaohongshu, but the percentage was higher on Xiaohongshu (82.25% vs 86.18%; P<.001), especially in cosmetics and medical health care products.

CONCLUSIONS

The CBD market has grown rapidly, and the topics related to CBD on social media have become active. There are apparent differences in users' attitudes toward CBD in countries with different substance management policies. Targeted CBD management measures should be formulated to suit the prevalence of CBD use of each country.

摘要

背景

大麻二酚(CBD)作为大麻植物的主要成分之一,因其潜在的健康益处而被批准用于医疗和化妆品用途。随着 CBD 市场的快速增长,消费者购买这些产品,社交媒体上的相关讨论也变得更加活跃。

目的

本研究旨在通过对不同物质管理政策国家的社交媒体进行文本挖掘,了解各国对 CBD 产品的用户态度。

方法

我们从 Reddit 和小红书上收集帖子,使用潜在狄利克雷分配模型进行主题挖掘,并分析不同社交媒体上的主题特征。随后,构建高频关键词的共现网络,以探索主题之间的潜在关系。此外,我们对帖子的评论进行了情感分析,并使用卡方检验比较了 Reddit 和小红书上用户对 CBD 产品的态度。

结果

社交媒体上与 CBD 相关的帖子数量迅速增加,尤其是自 2019 年以来,小红书上的帖子数量更是大幅增加。最终纳入分析的 Reddit 帖子共 1790 篇,小红书帖子共 1951 篇。潜在狄利克雷分配模型将这两个社交媒体平台上的帖子分别分为 7 个和 8 个主题,这些主题被分为 5 个主题。我们的研究表明,Reddit 上的主题主要与 CBD 的治疗效果有关,而小红书上的主题则集中在化妆品上,如面膜。Reddit 上的主题 2(CBD 市场信息)和主题 3(对 CBD 的态度)与共现网络中的其他主题有更多的联系,主题 3 和主题 1(CBD 的治疗效果)的共现频率较高(22803/73865,30.87%)。同时,小红书上的主题 1(CBD 化妆品)与其他主题有多种联系(169961/384575,44.19%),主题 4(CBD 成分)和主题 1 的共现频率较高(27128/490312,55.01%)。总体而言,Reddit 和小红书上与 CBD 相关的信息用户评论往往较为积极,但小红书上的比例更高(82.25% 对 86.18%;P<.001),尤其是在化妆品和医疗保健品方面。

结论

CBD 市场发展迅速,社交媒体上与 CBD 相关的主题变得活跃。不同物质管理政策国家的用户对 CBD 的态度存在明显差异。应制定有针对性的 CBD 管理措施,以适应每个国家 CBD 使用的流行程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/e12512ba8469/publichealth_v9i1e34132_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/ce26dd08e3ac/publichealth_v9i1e34132_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/33b4ab0dc13e/publichealth_v9i1e34132_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/3f7832586b9a/publichealth_v9i1e34132_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/75fee7ecdbc9/publichealth_v9i1e34132_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/e12512ba8469/publichealth_v9i1e34132_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/ce26dd08e3ac/publichealth_v9i1e34132_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/33b4ab0dc13e/publichealth_v9i1e34132_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/3f7832586b9a/publichealth_v9i1e34132_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/75fee7ecdbc9/publichealth_v9i1e34132_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c83d/9878368/e12512ba8469/publichealth_v9i1e34132_fig5.jpg

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