背景:社交媒体已成为大部分人口产生的重要信息来源,这在传染病爆发期间可能特别有价值。最近爆发的猴痘导致社交媒体上关于这个话题的讨论增加,从而提供了根据生成的数据进行研究的机会。
目标:通过分析来自Twitter(随后更名为X)的帖子,我们旨在确定2022年爆发期间猴痘病毒的公共话语主题以及知识和观点。
方法:我们从Twitter收集数据,重点是包含关键短语的英语帖子,如“猴痘,\"\"痘病毒,\"和\"猴痘,“以及2022年8月至10月的标签等价物。我们使用自然语言处理对数据进行预处理,以删除重复项并过滤掉噪声。然后,我们从收集的帖子中选择了一个随机样本。三个注释者审查了这些帖子的样本,并根据讨论创建了编码指南。最后,注释者分析了,编码,并手动将它们首先分类为主题,然后分类为粗粒度的主题。通过所有作者之间的讨论解决了分歧。
结果:在3个月内共收集了128,615个帖子,我们选择了200条推文以进行手动分析.以下8个主题来自Twitter帖子:猴痘怀疑,媒体,猴痘传播,猴痘的影响,猴痘的知识,政治,猴痘疫苗,和一般评论。我们研究中最常见的主题是猴痘怀疑和媒体,每个职位占22%(44/200)。这些帖子代表了反映该主题新兴知识以及错误信息的有用信息。
结论:社交网络,比如Twitter,是疫情早期的有用信息来源。接近实时识别和分析错误信息可能有助于当局及时采取必要步骤。
BACKGROUND: Social media has emerged as an important source of information generated by large segments of the population, which can be particularly valuable during infectious disease outbreaks. The recent outbreak of monkeypox led to an increase in discussions about the topic on social media, thus presenting the opportunity to conduct studies based on the generated data.
OBJECTIVE: By analyzing posts from Twitter (subsequently rebranded X), we aimed to identify the topics of public discourse as well as knowledge and opinions about the monkeypox virus during the 2022 outbreak.
METHODS: We collected data from Twitter focusing on English-language posts containing key phrases like \"monkeypox,\" \"mpoxvirus,\" and \"monkey pox,\" as well as their hashtag equivalents from August to October 2022. We preprocessed the data using natural language processing to remove duplicates and filter out noise. We then selected a random sample from the collected posts. Three annotators reviewed a sample of the posts and created a guideline for coding based on discussion. Finally, the annotators analyzed, coded, and manually categorized them first into topics and then into coarse-grained themes. Disagreements were resolved via discussion among all authors.
RESULTS: A total of 128,615 posts were collected over a 3-month period, and 200 tweets were selected and included for manual
analyses. The following 8 themes were generated from the Twitter posts: monkeypox doubts, media, monkeypox transmission, effect of monkeypox, knowledge of monkeypox, politics, monkeypox vaccine, and general comments. The most common themes from our study were monkeypox doubts and media, each accounting for 22% (44/200) of the posts. The posts represented a mix of useful information reflecting emerging knowledge on the topic as well as misinformation.
CONCLUSIONS: Social networks, such as Twitter, are useful sources of information in the early stages of outbreaks. Close to real-time identification and
analyses of misinformation may help authorities take the necessary steps in a timely manner.