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Using COVID-19 Vaccine Attitudes Found in Tweets to Predict Vaccine Perceptions in Traditional Surveys: Infodemiology Study. 使用推文中发现的新冠肺炎疫苗态度预测传统调查中的疫苗认知:推文的信息学研究。
Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2023-11-30 DOI: 10.2196/43700
Nekabari Sigalo, Vanessa Frias-Martinez

Background: Traditionally, surveys are conducted to answer questions related to public health but can be costly to execute. However, the information that researchers aim to extract from surveys could potentially be retrieved from social media, which possesses data that are highly accessible and lower in cost to collect.

Objective: This study aims to evaluate whether attitudes toward COVID-19 vaccines collected from the Household Pulse Survey (HPS) could be predicted using attitudes extracted from Twitter (subsequently rebranded X). Ultimately, this study aimed to determine whether Twitter can provide us with similar information to that observed in traditional surveys or whether saving money comes at the cost of losing rich data.

Methods: COVID-19 vaccine attitudes were extracted from the HPS conducted between January 6 and May 25, 2021. Twitter's streaming application programming interface was used to collect COVID-19 vaccine tweets during the same period. A sentiment and emotion analysis of tweets was conducted to examine attitudes toward the COVID-19 vaccine on Twitter. Generalized linear models and generalized linear mixed models were used to evaluate the ability of COVID-19 vaccine attitudes on Twitter to predict vaccine attitudes in the HPS.

Results: The results revealed that vaccine perceptions expressed on Twitter performed well in predicting vaccine perceptions in the survey.

Conclusions: These findings suggest that the information researchers aim to extract from surveys could potentially also be retrieved from a more accessible data source, such as Twitter. Leveraging Twitter data alongside traditional surveys can provide a more comprehensive and nuanced understanding of COVID-19 vaccine perceptions, facilitating evidence-based decision-making and tailored public health strategies.

背景:传统上,调查是为了回答与公共卫生有关的问题,但执行成本可能很高。然而,研究人员旨在从调查中提取的信息可能会从社交媒体中检索出来,这些数据访问性很高,收集成本也较低。目的:在本研究中,我们评估从家庭脉搏调查中收集的对新冠肺炎疫苗的态度是否可以使用从推特中提取的态度进行预测。最终,我们想确定推特是否能为我们提供与传统调查中观察到的类似的信息,或者,省钱是否是以失去丰富数据为代价的。方法:从2021年1月6日至5月25日收集的家庭脉搏调查(HPS)中提取新冠肺炎疫苗态度。在同一时期,推特的流媒体API用于收集新冠肺炎疫苗推文。对推特进行情绪和情绪分析,以检查推特上对新冠肺炎疫苗的态度。进行了广义线性模型(GLM)和广义线性混合模型(GLMM),以评估推特上新冠肺炎疫苗态度预测HPS中疫苗态度的能力。结果:根据模型,GLM和GLMM显示出(1)符合疫苗的HPS受访者的百分比与表达积极情绪和信任的推文的百分比之间的显著关系;以及介于(2)对疫苗犹豫不决的HPS受访者的百分比和表达负面情绪的推文的百分比之间。在GLM和GLMMS的调查中,推特上表达的积极看法在预测积极看法方面表现良好;而推特上表达的负面看法在预测调查中的负面看法方面表现良好,但仅适用于GLM。结论:这些发现表明,研究人员旨在从调查中提取的信息也可能从更容易访问的数据源中检索,如推特数据。利用推特数据和传统调查,可以更全面、更细致地了解新冠肺炎疫苗认知,促进循证决策和量身定制的公共卫生战略。临床试验:
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引用次数: 0
Monitoring SARS-CoV-2 Using Infoveillance, National Reporting Data, and Wastewater in Wales, United Kingdom: Mixed Methods Study. 使用英国威尔士国家报告数据和废水信息监测严重急性呼吸系统综合征冠状病毒2型。
Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2023-11-23 DOI: 10.2196/43891
Jordan P Cuff, Shrinivas Nivrutti Dighe, Sophie E Watson, Rafael A Badell-Grau, Andrew J Weightman, Davey L Jones, Peter Kille

Background: The COVID-19 pandemic necessitated rapid real-time surveillance of epidemiological data to advise governments and the public, but the accuracy of these data depends on myriad auxiliary assumptions, not least accurate reporting of cases by the public. Wastewater monitoring has emerged internationally as an accurate and objective means for assessing disease prevalence with reduced latency and less dependence on public vigilance, reliability, and engagement. How public interest aligns with COVID-19 personal testing data and wastewater monitoring is, however, very poorly characterized.

Objective: This study aims to assess the associations between internet search volume data relevant to COVID-19, public health care statistics, and national-scale wastewater monitoring of SARS-CoV-2 across South Wales, United Kingdom, over time to investigate how interest in the pandemic may reflect the prevalence of SARS-CoV-2, as detected by national testing and wastewater monitoring, and how these data could be used to predict case numbers.

Methods: Relative search volume data from Google Trends for search terms linked to the COVID-19 pandemic were extracted and compared against government-reported COVID-19 statistics and quantitative reverse transcription polymerase chain reaction (RT-qPCR) SARS-CoV-2 data generated from wastewater in South Wales, United Kingdom, using multivariate linear models, correlation analysis, and predictions from linear models.

Results: Wastewater monitoring, most infoveillance terms, and nationally reported cases significantly correlated, but these relationships changed over time. Wastewater surveillance data and some infoveillance search terms generated predictions of case numbers that correlated with reported case numbers, but the accuracy of these predictions was inconsistent and many of the relationships changed over time.

Conclusions: Wastewater monitoring presents a valuable means for assessing population-level prevalence of SARS-CoV-2 and could be integrated with other data types such as infoveillance for increasingly accurate inference of virus prevalence. The importance of such monitoring is increasingly clear as a means of objectively assessing the prevalence of SARS-CoV-2 to circumvent the dynamic interest and participation of the public. Increased accessibility of wastewater monitoring data to the public, as is the case for other national data, may enhance public engagement with these forms of monitoring.

背景:新冠肺炎大流行需要对流行病学数据进行快速实时监测,以向政府和公众提供建议,但这些数据的准确性取决于无数辅助假设,尤其是公众对病例的准确报告。废水监测已在国际上成为一种准确客观的评估疾病流行率的手段,减少了延迟,减少了对公众警惕性、可靠性和参与度的依赖。然而,公众利益与新冠肺炎个人检测数据和废水监测的一致性非常差。目的:本研究评估了与新冠肺炎相关的互联网搜索量数据、公共医疗统计数据和英国南威尔士全国范围内对SARS-CoV-2的废水监测之间的关联,以调查对该流行病的兴趣如何反映国家检测和废水监测检测到的SARS-CoV-2的流行,以及如何使用这些数据来预测病例数。方法:从谷歌趋势中提取与新冠肺炎大流行相关的搜索词的相对搜索量数据,并使用多元线性模型、相关性分析和线性模型预测,将其与政府报告的新冠肺炎统计数据和英国南威尔士废水中产生的RT-qPCR SARS-CoV-2数据进行比较。结果:废水监测和信息监测都显示出流行病学监测的潜力,但其效果会随着时间的推移而变化。在整个研究期间,围绕新冠肺炎大流行的谷歌搜索量有所下降,这表明公众兴趣的减少,这可能反映在自我检测和报告量减少,随后国家报告数据的准确性下降。结论:废水监测为评估人群水平的严重急性呼吸系统综合征冠状病毒2型流行率提供了一种有价值的手段,可以与其他数据类型(如信息)相结合,以更准确地推断病毒流行率。作为客观评估严重急性呼吸系统综合征冠状病毒2型流行率的一种手段,这种监测的重要性越来越明显,以规避公众的动态兴趣和参与。与其他国家数据一样,增加公众获得废水监测数据的机会,可能会加强公众对这些监测形式的参与。临床试验:
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引用次数: 0
Addressing Antivaccine Sentiment on Public Social Media Forums Through Web-Based Conversations Based on Motivational Interviewing Techniques: Observational Study. 通过基于动机性访谈技术的网络对话解决公共社交媒体论坛上的反疫苗情绪:观察性研究
Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2023-11-14 DOI: 10.2196/50138
David Scales, Lindsay Hurth, Wenna Xi, Sara Gorman, Malavika Radhakrishnan, Savannah Windham, Azubuike Akunne, Julia Florman, Lindsey Leininger, Jack Gorman
<p><strong>Background: </strong>Health misinformation shared on social media can have negative health consequences; yet, there is a dearth of field research testing interventions to address health misinformation in real time, digitally, and in situ on social media.</p><p><strong>Objective: </strong>We describe a field study of a pilot program of "infodemiologists" trained with evidence-informed intervention techniques heavily influenced by principles of motivational interviewing. Here we provide a detailed description of the nature of infodemiologists' interventions on posts sharing misinformation about COVID-19 vaccines, present an initial evaluation framework for such field research, and use available engagement metrics to quantify the impact of these in-group messengers on the web-based threads on which they are intervening.</p><p><strong>Methods: </strong>We monitored Facebook (Meta Platforms, Inc) profiles of news organizations marketing to 3 geographic regions (Newark, New Jersey; Chicago, Illinois; and central Texas). Between December 2020 and April 2021, infodemiologists intervened in 145 Facebook news posts that generated comments containing either false or misleading information about vaccines or overt antivaccine sentiment. Engagement (emojis plus replies) data were collected on Facebook news posts, the initial comment containing misinformation (level 1 comment), and the infodemiologist's reply (level 2 reply comment). A comparison-group evaluation design was used, with numbers of replies, emoji reactions, and engagements for level 1 comments compared with the median metrics of matched comments using the Wilcoxon signed rank test. Level 2 reply comments (intervention) were also benchmarked against the corresponding metric of matched reply comments (control) using the Wilcoxon signed rank test (paired at the level 1 comment level). Infodemiologists' level 2 reply comments (intervention) and matched reply comments (control) were further compared using 3 Poisson regression models.</p><p><strong>Results: </strong>In total, 145 interventions were conducted on 132 Facebook news posts. The level 1 comments received a median of 3 replies, 3 reactions, and 7 engagements. The matched comments received a median of 1.5 (median of IQRs 3.75) engagements. Infodemiologists made 322 level 2 reply comments, precipitating 189 emoji reactions and a median of 0.5 (median of IQRs IQR 0) engagements. The matched reply comments received a median of 1 (median of IQRs 2.5) engagement. Compared to matched comments, level 1 comments received more replies, emoji reactions, and engagements. Compared to matched reply comments, level 2 reply comments received fewer and narrower ranges of replies, reactions, and engagements, except for the median comparison for replies.</p><p><strong>Conclusions: </strong>Overall, empathy-first communication strategies based on motivational interviewing garnered less engagement relative to matched controls. One possible explanation i
背景:在社交媒体上分享的健康错误信息可能对健康产生负面影响;然而,缺乏实地研究测试干预措施,以实时、数字化和现场的方式解决社交媒体上的健康错误信息。目的:我们描述了一项对“信息流行病学”试点项目的实地研究,这些“信息流行病学”接受了大量受动机性访谈原则影响的循证干预技术的培训。在这里,我们详细描述了信息流行病学学家对分享有关COVID-19疫苗的错误信息的帖子进行干预的性质,提出了此类实地研究的初步评估框架,并使用可用的参与指标来量化这些群内信使对其干预的网络线程的影响。方法:我们监测了面向3个地理区域(新泽西州纽瓦克;芝加哥,伊利诺斯州;以及德克萨斯州中部)。在2020年12月至2021年4月期间,信息流行病学学家干预了145个Facebook新闻帖子,这些帖子产生的评论包含有关疫苗的虚假或误导性信息或公开的反疫苗情绪。参与(表情符号加回复)数据收集于Facebook新闻帖子、包含错误信息的初始评论(1级评论)和信息流行病学家的回复(2级回复评论)。使用比较组评估设计,将回复数量、表情符号反应和1级评论的参与与使用Wilcoxon签名秩检验的匹配评论的中位数指标进行比较。2级回复评论(干预)也使用Wilcoxon签名秩检验(在1级评论水平配对)对匹配回复评论(对照)的相应度量进行基准测试。采用3种泊松回归模型对信息流行病学专家的二级回复评论(干预)和匹配回复评论(对照)进行比较。结果:共对132个Facebook新闻帖子进行了145次干预。第1级的评论收到了3个回复,3个反应和7个参与。匹配的评论的参与度中位数为1.5 (IQRs中位数为3.75)。信息流行学家发表了322条二级回复评论,引发了189个表情符号反应,参与的中位数为0.5 (IQR中位数为0)。匹配的回复评论的参与度中位数为1 (IQRs中位数为2.5)。与匹配的评论相比,1级评论收到了更多的回复、表情符号反应和参与。与匹配的回复评论相比,除了回复的中位数比较外,第2级回复评论收到的回复、反应和参与的范围更少、更窄。结论:总体而言,基于动机性访谈的共情优先沟通策略相对于匹配的对照组获得了更少的参与。一种可能的解释是,我们的干预平息了社交媒体上关于疫苗的有争议的、充满错误信息的帖子。这项工作加强了对准确性推动和网络欺凌干预的研究,这些干预也会降低参与度。需要更多利用现场实时干预研究的研究,但技术平台的数据透明度对于促进此类实验至关重要。
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引用次数: 0
Reproductive Health Experiences Shared on TikTok by Young People: Content Analysis. #MyBodyMyChoice:年轻人如何在TikTok上分享生殖健康体验。
Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2023-11-13 DOI: 10.2196/42810
Isha Nair, Sophia P Patel, Ashley Bolen, Samantha Roger, Kayla Bucci, Laura Schwab-Reese, Andrea L DeMaria

Background: TikTok is a popular social media platform that allows users to create and share content through short videos. It has become a place for everyday users, especially Generation Z users, to share experiences about their reproductive health. Owing to its growing popularity and easy accessibility, TikTok can help raise awareness for reproductive health issues as well as help destigmatize these conversations.

Objective: We aimed to identify and understand the visual, audio, and written components of content that TikTok users create about their reproductive health experiences.

Methods: A sampling framework was implemented to narrow down the analytic data set. The top 6 videos from each targeted hashtag (eg, #BirthControl, #MyBodyMyChoice, and #LoveYourself) were extracted biweekly for 16 weeks (July-November 2020). During data collection, we noted video characteristics such as captioning, music, likes, and cited sources. Qualitative content analysis was performed on the extracted videos.

Results: The top videos in each hashtag were consistent over time; for example, only 11 videos appeared in the top 6 category for #BirthControl throughout the data collection. Most videos fell into 2 primary categories: personal experiences and informational content. Among the personal experiences, people shared stories (eg, intrauterine device removal experiences), crafts (eg, painting their pill case), or humor (eg, celebrations of the arrival of their period). Dancing and demonstrations were commonly used in informational content.

Conclusions: TikTok is used to share messages on myriad reproductive health topics. Understanding users' exposure provides important insights into their beliefs and knowledge of sexual and reproductive health. The study findings can be used to generate valuable information for teenagers and young adults, their health care providers, and their communities. Producing health messages that are both meaningful and accessible will contribute to the cocreation of critical health information for professional and personal use.

背景:流行的社交媒体平台TikTok允许用户通过短视频创建和分享内容。它已经成为日常用户,尤其是Z世代用户分享生殖健康经验的地方。由于其日益流行和易于访问,TikTok可以帮助提高人们对生殖健康问题的认识,并有助于消除这些对话的污名化。目的:识别和理解TikTok用户创建的关于其生殖健康体验的内容的视觉、音频和书面组成部分。方法:为了缩小分析数据集的范围,实现了一个抽样框架。每个目标标签(例如#BirthControl、#MyBodyMyChoice和#LoveYourself)的前六个视频每两周提取一次,为期16周(2020年7月至11月)。在数据收集过程中,我们注意到了视频特征,如字幕、音乐、点赞和引用的来源。对提取的视频进行定性内容分析。结果:随着时间的推移,每个标签中的热门视频是一致的;例如,在整个数据收集过程中,只有11个视频出现在#BirthControl的前六名中。大多数视频分为两大类:个人经历和信息内容。在个人经历中,人们分享了故事(例如,宫内节育器取出经历)、工艺(例如,画他们的药丸盒)或幽默(例如,庆祝他们的经期到来)。在信息内容中,舞蹈和示范是常用的。结论:TikTok被用来分享关于无数生殖健康话题的信息。了解用户的暴露情况,可以深入了解他们对性健康和生殖健康的信念和知识。研究结果可用于为青少年、医疗保健提供者和社区提供有价值的信息。制作既有意义又易于获取的健康信息将有助于共同创建供专业和个人使用的关键健康信息。
{"title":"Reproductive Health Experiences Shared on TikTok by Young People: Content Analysis.","authors":"Isha Nair, Sophia P Patel, Ashley Bolen, Samantha Roger, Kayla Bucci, Laura Schwab-Reese, Andrea L DeMaria","doi":"10.2196/42810","DOIUrl":"10.2196/42810","url":null,"abstract":"<p><strong>Background: </strong>TikTok is a popular social media platform that allows users to create and share content through short videos. It has become a place for everyday users, especially Generation Z users, to share experiences about their reproductive health. Owing to its growing popularity and easy accessibility, TikTok can help raise awareness for reproductive health issues as well as help destigmatize these conversations.</p><p><strong>Objective: </strong>We aimed to identify and understand the visual, audio, and written components of content that TikTok users create about their reproductive health experiences.</p><p><strong>Methods: </strong>A sampling framework was implemented to narrow down the analytic data set. The top 6 videos from each targeted hashtag (eg, #BirthControl, #MyBodyMyChoice, and #LoveYourself) were extracted biweekly for 16 weeks (July-November 2020). During data collection, we noted video characteristics such as captioning, music, likes, and cited sources. Qualitative content analysis was performed on the extracted videos.</p><p><strong>Results: </strong>The top videos in each hashtag were consistent over time; for example, only 11 videos appeared in the top 6 category for #BirthControl throughout the data collection. Most videos fell into 2 primary categories: personal experiences and informational content. Among the personal experiences, people shared stories (eg, intrauterine device removal experiences), crafts (eg, painting their pill case), or humor (eg, celebrations of the arrival of their period). Dancing and demonstrations were commonly used in informational content.</p><p><strong>Conclusions: </strong>TikTok is used to share messages on myriad reproductive health topics. Understanding users' exposure provides important insights into their beliefs and knowledge of sexual and reproductive health. The study findings can be used to generate valuable information for teenagers and young adults, their health care providers, and their communities. Producing health messages that are both meaningful and accessible will contribute to the cocreation of critical health information for professional and personal use.</p>","PeriodicalId":73554,"journal":{"name":"JMIR infodemiology","volume":" ","pages":"e42810"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682920/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41222299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sharing Reliable COVID-19 Information and Countering Misinformation: In-Depth Interviews With Information Advocates. 分享可靠的COVID-19信息,打击错误信息:对信息倡导者的深度访谈(预印本)
Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2023-10-20 DOI: 10.2196/47677
Alexis M Koskan, Shalini Sivanandam, Kristy Roschke, Jonathan Irby, Deborah L Helitzer, Bradley Doebbeling
<p><strong>Background: </strong>The rampant spread of misinformation about COVID-19 has been linked to a lower uptake of preventive behaviors such as vaccination. Some individuals, however, have been able to resist believing in COVID-19 misinformation. Further, some have acted as information advocates, spreading accurate information and combating misinformation about the pandemic.</p><p><strong>Objective: </strong>This work explores highly knowledgeable information advocates' perspectives, behaviors, and information-related practices.</p><p><strong>Methods: </strong>To identify participants for this study, we used outcomes of survey research of a national sample of 1498 adults to find individuals who scored a perfect or near-perfect score on COVID-19 knowledge questions and who also self-reported actively sharing or responding to news information within the past week. Among this subsample, we selected a diverse sample of 25 individuals to participate in a 1-time, phone-based, semistructured interview. Interviews were recorded and transcribed, and the team conducted an inductive thematic analysis.</p><p><strong>Results: </strong>Participants reported trusting in science, data-driven sources, public health, medical experts, and organizations. They had mixed levels of trust in various social media sites to find reliable health information, noting distrust in particular sites such as Facebook (Meta Platforms) and more trust in specific accounts on Twitter (X Corp) and Reddit (Advance Publications). They reported relying on multiple sources of information to find facts instead of depending on their intuition and emotions to inform their perspectives about COVID-19. Participants determined the credibility of information by cross-referencing it, identifying information sources and their potential biases, clarifying information they were unclear about with health care providers, and using fact-checking sites to verify information. Most participants reported ignoring misinformation. Others, however, responded to misinformation by flagging, reporting, and responding to it on social media sites. Some described feeling more comfortable responding to misinformation in person than online. Participants' responses to misinformation posted on the internet depended on various factors, including their relationship to the individual posting the misinformation, their level of outrage in response to it, and how dangerous they perceived it could be if others acted on such information.</p><p><strong>Conclusions: </strong>This research illustrates how well-informed US adults assess the credibility of COVID-19 information, how they share it, and how they respond to misinformation. It illustrates web-based and offline information practices and describes how the role of interpersonal relationships contributes to their preferences for acting on such information. Implications of our findings could help inform future training in health information literacy, interpersonal infor
背景:有关 COVID-19 的错误信息的大量传播与疫苗接种等预防行为的减少有关。然而,有些人却不相信 COVID-19 的错误信息。此外,有些人还充当了信息倡导者,传播准确的信息并打击有关该流行病的错误信息:本研究探讨了知识渊博的信息倡导者的观点、行为和与信息相关的做法:为了确定本研究的参与者,我们利用对全国 1498 名成年人的抽样调查研究成果,找到了在 COVID-19 知识问题上获得满分或接近满分,并且自我报告在过去一周内积极分享或回应新闻信息的人。在这个子样本中,我们选取了 25 个不同的样本,让他们参加一次基于电话的半结构化访谈。我们对访谈进行了录音和转录,并进行了归纳式主题分析:结果:参与者表示信任科学、数据驱动来源、公共卫生、医学专家和组织。他们对在各种社交媒体网站上寻找可靠健康信息的信任程度不一,对 Facebook(Meta Platforms)等特定网站不信任,而对 Twitter(X Corp)和 Reddit(Advance Publications)上的特定账户更信任。他们报告说,他们依靠多种信息来源来寻找事实,而不是依靠直觉和情感来了解他们对 COVID-19 的看法。参与者通过交叉引用信息、识别信息来源及其潜在偏见、向医疗服务提供者澄清他们不清楚的信息以及使用事实核查网站核实信息来确定信息的可信度。大多数参与者表示对错误信息视而不见。然而,其他人则通过在社交媒体网站上标记、报告和回应错误信息来应对错误信息。一些人表示,与在网上相比,亲自回应不实信息感觉更自在。参与者对互联网上发布的错误信息的反应取决于多种因素,包括他们与发布错误信息者的关系、他们对错误信息的愤怒程度,以及他们认为如果其他人根据这些信息采取行动会有多危险:这项研究说明了消息灵通的美国成年人如何评估 COVID-19 信息的可信度,他们如何分享这些信息,以及他们如何应对错误信息。它说明了基于网络和离线的信息实践,并描述了人际关系的作用如何影响他们对此类信息采取行动的偏好。我们的研究结果有助于为未来的健康信息扫盲、人际信息宣传和组织信息宣传培训提供参考。继续努力分享可靠的健康信息并揭露错误信息至关重要,尤其是因为这些信息会影响人们的健康行为。
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引用次数: 0
Corpus-Based Discourse Analysis of a Reddit Community of Users of Crystal Methamphetamine: Mixed Methods Study. 基于语料库的水晶甲基苯丙胺使用者Reddit社区话语分析:混合方法研究。
Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2023-09-29 DOI: 10.2196/48189
Andrew Lustig, Gavin Brookes

Background: Methamphetamine is a highly addictive stimulant that affects the central nervous system. Crystal methamphetamine is a form of the drug resembling glass fragments or shiny bluish-white rocks that can be taken through smoking, swallowing, snorting, or injecting the powder once it has been dissolved in water or alcohol.

Objective: The objective of this study is to examine how identities are socially (discursively) constructed by people who use methamphetamine within a subreddit for people who regularly use crystal meth.

Methods: Using a mixed methods approach, we analyzed 1000 threads (318,422 words) from a subreddit for regular crystal meth users. The qualitative component of the analysis used concordancing and corpus-based discourse analysis to identify discursive themes informed by assemblage theory. The quantitative portion of the analysis used corpus linguistic techniques including keyword analysis to identify words occurring with statistically marked frequency in the corpus and collocation analysis to analyze their discursive context.

Results: Our findings reveal that the subreddit contributors use a rich and varied lexicon to describe crystal meth and other substances, ranging from a neuroscientific register (eg, methamphetamine and dopamine) to informal vernacular (eg, meth, dope, and fent) and commercial appellations (eg, Adderall and Seroquel). They also use linguistic resources to construct symbolic boundaries between different types of methamphetamine users, differentiating between the esteemed category of "functional addicts" and relegating others to the stigmatized category of "tweakers." In addition, contributors contest the dominant view that methamphetamine use inevitably leads to psychosis, arguing instead for a more nuanced understanding that considers the interplay of factors such as sleep deprivation, poor nutrition, and neglected hygiene.

Conclusions: The subreddit contributors' discourse offers a "set and setting" perspective, which provides a fresh viewpoint on drug-induced psychosis and can guide future harm reduction strategies and research. In contrast to this view, many previous studies overlook the real-world complexities of methamphetamine use, perhaps due to the use of controlled experimental settings. Actual drug use, intoxication, and addiction are complex, multifaceted, and elusive phenomena that defy straightforward characterization.

背景:甲基苯丙胺是一种高度成瘾的兴奋剂,会影响中枢神经系统。冰毒是一种类似玻璃碎片或闪亮的蓝白色岩石的药物,一旦溶解在水中或酒精中,可以通过吸烟、吞咽、吸食或注射粉末的方式服用。目的:本研究的目的是在经常使用冰毒的人群的reddit子版块中,检验使用冰毒人群是如何在社会(话语)上构建身份的。方法:使用混合方法,我们分析了来自reddit子网站的1000个线程(318422个单词),供经常使用冰毒的用户使用。分析的定性部分使用了一致性和基于语料库的话语分析来识别集合理论所提供的话语主题。分析的定量部分使用了语料库语言学技术,包括关键词分析来识别语料库中出现频率具有统计标记的单词,以及搭配分析来分析其话语上下文。结果:我们的研究结果表明,reddit子版块的贡献者使用了丰富多样的词汇来描述冰毒和其他物质,从神经科学登记册(如甲基苯丙胺和多巴胺)到非正式方言(如冰毒、兴奋剂和芬特)和商业名称(如Adderall和Seroquel)。他们还利用语言资源在不同类型的甲基苯丙胺使用者之间构建象征性的界限,区分受人尊敬的“功能性成瘾者”类别,并将其他人降级为被污名化的“调整者”类别。此外,贡献者对使用甲基苯丙胺不可避免地会导致精神病的主流观点提出了质疑,相反,主张更细致的理解,考虑睡眠不足、营养不良和被忽视的卫生等因素的相互作用。结论:reddit贡献者的话语提供了一个“设定和设定”的视角,为药物诱导的精神病提供了一种新的视角,并可以指导未来的减少伤害策略和研究。与这种观点相反,以前的许多研究忽视了甲基苯丙胺使用的现实世界复杂性,这可能是由于使用了受控的实验环境。实际的药物使用、中毒和成瘾是复杂、多方面和难以捉摸的现象,难以直接定性。
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引用次数: 0
Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study. 推特上新冠肺炎厌食症和老年痴呆症症状早期检测的评估:回顾性研究。
Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2023-09-25 DOI: 10.2196/41863
Carole Faviez, Manissa Talmatkadi, Pierre Foulquié, Adel Mebarki, Stéphane Schück, Anita Burgun, Xiaoyi Chen
<p><strong>Background: </strong>During the unprecedented COVID-19 pandemic, social media has been extensively used to amplify the spread of information and to express personal health-related experiences regarding symptoms, including anosmia and ageusia, 2 symptoms that have been reported later than other symptoms.</p><p><strong>Objective: </strong>Our objective is to investigate to what extent Twitter users reported anosmia and ageusia symptoms in their tweets and if they connected them to COVID-19, to evaluate whether these symptoms could have been identified as COVID-19 symptoms earlier using Twitter rather than the official notice.</p><p><strong>Methods: </strong>We collected French tweets posted between January 1, 2020, and March 31, 2020, containing anosmia- or ageusia-related keywords. Symptoms were detected using fuzzy matching. The analysis consisted of 3 parts. First, we compared the coverage of anosmia and ageusia symptoms in Twitter and in traditional media to determine if the association between COVID-19 and anosmia or ageusia could have been identified earlier through Twitter. Second, we conducted a manual analysis of anosmia- and ageusia-related tweets to obtain quantitative and qualitative insights regarding their nature and to assess when the first associations between COVID-19 and these symptoms were established. We randomly annotated tweets from 2 periods: the early stage and the rapid spread stage of the epidemic. For each tweet, each symptom was annotated regarding 3 modalities: symptom (yes or no), associated with COVID-19 (yes, no, or unknown), and whether it was experienced by someone (yes, no, or unknown). Third, to evaluate if there was a global increase of tweets mentioning anosmia or ageusia in early 2020, corresponding to the beginning of the COVID-19 epidemic, we compared the tweets reporting experienced anosmia or ageusia between the first periods of 2019 and 2020.</p><p><strong>Results: </strong>In total, 832 (respectively 12,544) tweets containing anosmia (respectively ageusia) related keywords were extracted over the analysis period in 2020. The comparison to traditional media showed a strong correlation without any lag, which suggests an important reactivity of Twitter but no earlier detection on Twitter. The annotation of tweets from 2020 showed that tweets correlating anosmia or ageusia with COVID-19 could be found a few days before the official announcement. However, no association could be found during the first stage of the pandemic. Information about the temporality of symptoms and the psychological impact of these symptoms could be found in the tweets. The comparison between early 2020 and early 2019 showed no difference regarding the volumes of tweets.</p><p><strong>Conclusions: </strong>Based on our analysis of French tweets, associations between COVID-19 and anosmia or ageusia by web users could have been found on Twitter just a few days before the official announcement but not during the early stage of
背景:在前所未有的新冠肺炎大流行期间,社交媒体被广泛用于扩大信息的传播,并表达个人与健康相关的症状体验,包括嗅觉缺失和老年痴呆,这两种症状的报告晚于其他症状。目的:我们的目的是调查推特用户在推文中报告嗅觉缺失和老年痴呆症状的程度,以及他们是否将其与新冠肺炎联系在一起,以评估这些症状是否可以在使用推特而非官方通知之前被确定为新冠肺炎症状。方法:我们收集了2020年1月1日至2020年3月31日期间发布的法语推文,其中包含嗅觉缺失或年龄相关的关键词。使用模糊匹配检测症状。分析由三部分组成。首先,我们比较了推特和传统媒体对嗅觉缺失和老年痴呆症状的报道,以确定新冠肺炎与嗅觉缺失或老年痴呆之间的关联是否可以通过推特更早地确定。其次,我们对嗅觉缺失和年龄相关的推文进行了手动分析,以获得关于其性质的定量和定性见解,并评估新冠肺炎与这些症状之间的首次关联是何时建立的。我们随机注释了两个时期的推文:疫情早期和快速传播阶段。对于每条推文,每个症状都被注释为3种模式:症状(是或否)、与新冠肺炎相关(是、否或未知)以及是否有人经历过(是、无或未知)。第三,为了评估2020年初提及嗅觉缺失或老年痴呆症的推文是否在全球范围内增加,这与新冠肺炎疫情的开始相对应,我们比较了2019年和2020年第一个时期报告有嗅觉缺失或老龄痴呆症的发推文,在2020年的分析期间,提取了832条(分别为12544条)包含嗅觉缺失(分别为老年痴呆)相关关键词的推文。与传统媒体的比较显示出强烈的相关性,没有任何滞后,这表明推特的反应很重要,但在推特上没有早期检测到。对2020年推文的注释显示,在官方宣布前几天,可以找到将嗅觉缺失或老年痴呆与新冠肺炎相关的推文。然而,在新冠疫情的第一阶段,没有发现任何关联。关于症状的暂时性和这些症状的心理影响的信息可以在推文中找到。2020年初和2019年初的比较显示,推文数量没有差异。结论:根据我们对法国推文的分析,新冠肺炎与网络用户嗅觉缺失或老年痴呆症之间的关联可能在官方宣布前几天就在推特上发现了,但在大流行的早期阶段却没有。患者在推特上分享有关嗅觉缺失或老年痴呆症状的定性信息,这些信息可能对未来的分析感兴趣。
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引用次数: 1
The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis. 新冠肺炎大流行期间社交媒体在健康虚假信息和虚假信息中的作用:文献计量分析。
Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2023-09-20 DOI: 10.2196/48620
Funmi Adebesin, Hanlie Smuts, Tendani Mawela, George Maramba, Marie Hattingh
<p><strong>Background: </strong>The use of social media platforms to seek information continues to increase. Social media platforms can be used to disseminate important information to people worldwide instantaneously. However, their viral nature also makes it easy to share misinformation, disinformation, unverified information, and fake news. The unprecedented reliance on social media platforms to seek information during the COVID-19 pandemic was accompanied by increased incidents of misinformation and disinformation. Consequently, there was an increase in the number of scientific publications related to the role of social media in disseminating health misinformation and disinformation at the height of the COVID-19 pandemic. Health misinformation and disinformation, especially in periods of global public health disasters, can lead to the erosion of trust in policy makers at best and fatal consequences at worst.</p><p><strong>Objective: </strong>This paper reports a bibliometric analysis aimed at investigating the evolution of research publications related to the role of social media as a driver of health misinformation and disinformation since the start of the COVID-19 pandemic. Additionally, this study aimed to identify the top trending keywords, niche topics, authors, and publishers for publishing papers related to the current research, as well as the global collaboration between authors on topics related to the role of social media in health misinformation and disinformation since the start of the COVID-19 pandemic.</p><p><strong>Methods: </strong>The Scopus database was accessed on June 8, 2023, using a combination of Medical Subject Heading and author-defined terms to create the following search phrases that targeted the title, abstract, and keyword fields: ("Health*" OR "Medical") AND ("Misinformation" OR "Disinformation" OR "Fake News") AND ("Social media" OR "Twitter" OR "Facebook" OR "YouTube" OR "WhatsApp" OR "Instagram" OR "TikTok") AND ("Pandemic*" OR "Corona*" OR "Covid*"). A total of 943 research papers published between 2020 and June 2023 were analyzed using Microsoft Excel (Microsoft Corporation), VOSviewer (Centre for Science and Technology Studies, Leiden University), and the Biblioshiny package in Bibliometrix (K-Synth Srl) for RStudio (Posit, PBC).</p><p><strong>Results: </strong>The highest number of publications was from 2022 (387/943, 41%). Most publications (725/943, 76.9%) were articles. JMIR published the most research papers (54/943, 5.7%). Authors from the United States collaborated the most, with 311 coauthored research papers. The keywords "Covid-19," "social media," and "misinformation" were the top 3 trending keywords, whereas "learning systems," "learning models," and "learning algorithms" were revealed as the niche topics on the role of social media in health misinformation and disinformation during the COVID-19 outbreak.</p><p><strong>Conclusions: </strong>Collaborations between authors can increase their produc
背景:利用社交媒体平台获取信息的情况持续增加。社交媒体平台可以用来即时向世界各地的人们传播重要信息。然而,它们的病毒性也使得分享错误信息、虚假信息、未经核实的信息和假新闻变得容易。在新冠肺炎大流行期间,对社交媒体平台寻求信息的空前依赖伴随着错误信息和虚假信息事件的增加。因此,在新冠肺炎疫情最严重的时候,与社交媒体在传播健康错误信息和虚假信息方面的作用有关的科学出版物数量有所增加。健康方面的错误信息和虚假信息,尤其是在全球公共卫生灾难时期,往好了说可能会导致对政策制定者的信任受到侵蚀,往坏了说可能导致致命后果。目的:本文报告了一项文献计量分析,旨在调查自新冠肺炎大流行开始以来,与社交媒体作为健康错误信息和虚假信息驱动因素的作用相关的研究出版物的演变。此外,本研究旨在确定与当前研究相关的热门关键词、利基话题、作者和出版商,以及自新冠肺炎大流行开始以来,作者之间在与社交媒体在健康错误信息和虚假信息中的作用相关的话题上的全球合作。方法:Scopus数据库于2023年6月8日访问,使用医学主题标题和作者定义的术语组合创建以下搜索短语,以及关键字字段:(“健康*”或“医疗”)与(“错误信息”或“虚假信息”或”假新闻“)与(”社交媒体“或”推特“或”脸书“或”YouTube“或”WhatsApp“或”Instagram“或”TikTok“)与。使用Microsoft Excel(微软公司)、VOSviewer(莱顿大学科学与技术研究中心)和RStudio(Posit,PBC)Bibliometrix(K-Synth Srl)中的Bibliobshing包,对2020年至2023年6月期间发表的943篇研究论文进行了分析。结果:2022年发表的论文数量最多(387/943,41%)。大多数出版物(725/943,76.9%)是文章。JMIR发表的研究论文最多(54/943,5.7%)。来自美国的作者合作最多,有311篇合著研究论文。关键字“新冠肺炎”、“社交媒体”和“错误信息”是前三大热门关键字,而“学习系统”、“学习模型”和“学习算法”被揭示为新冠肺炎疫情期间社交媒体在健康错误信息和虚假信息中的作用的小众主题。结论:作者之间的合作可以提高他们的生产力和引用次数。研究人员可以在未来的研究中利用“学习系统”、“学习模型”和“学习算法”等利基话题,分析社交媒体对全球公共卫生紧急情况期间健康错误信息和虚假信息的影响。
{"title":"The Role of Social Media in Health Misinformation and Disinformation During the COVID-19 Pandemic: Bibliometric Analysis.","authors":"Funmi Adebesin,&nbsp;Hanlie Smuts,&nbsp;Tendani Mawela,&nbsp;George Maramba,&nbsp;Marie Hattingh","doi":"10.2196/48620","DOIUrl":"10.2196/48620","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The use of social media platforms to seek information continues to increase. Social media platforms can be used to disseminate important information to people worldwide instantaneously. However, their viral nature also makes it easy to share misinformation, disinformation, unverified information, and fake news. The unprecedented reliance on social media platforms to seek information during the COVID-19 pandemic was accompanied by increased incidents of misinformation and disinformation. Consequently, there was an increase in the number of scientific publications related to the role of social media in disseminating health misinformation and disinformation at the height of the COVID-19 pandemic. Health misinformation and disinformation, especially in periods of global public health disasters, can lead to the erosion of trust in policy makers at best and fatal consequences at worst.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This paper reports a bibliometric analysis aimed at investigating the evolution of research publications related to the role of social media as a driver of health misinformation and disinformation since the start of the COVID-19 pandemic. Additionally, this study aimed to identify the top trending keywords, niche topics, authors, and publishers for publishing papers related to the current research, as well as the global collaboration between authors on topics related to the role of social media in health misinformation and disinformation since the start of the COVID-19 pandemic.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;The Scopus database was accessed on June 8, 2023, using a combination of Medical Subject Heading and author-defined terms to create the following search phrases that targeted the title, abstract, and keyword fields: (\"Health*\" OR \"Medical\") AND (\"Misinformation\" OR \"Disinformation\" OR \"Fake News\") AND (\"Social media\" OR \"Twitter\" OR \"Facebook\" OR \"YouTube\" OR \"WhatsApp\" OR \"Instagram\" OR \"TikTok\") AND (\"Pandemic*\" OR \"Corona*\" OR \"Covid*\"). A total of 943 research papers published between 2020 and June 2023 were analyzed using Microsoft Excel (Microsoft Corporation), VOSviewer (Centre for Science and Technology Studies, Leiden University), and the Biblioshiny package in Bibliometrix (K-Synth Srl) for RStudio (Posit, PBC).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The highest number of publications was from 2022 (387/943, 41%). Most publications (725/943, 76.9%) were articles. JMIR published the most research papers (54/943, 5.7%). Authors from the United States collaborated the most, with 311 coauthored research papers. The keywords \"Covid-19,\" \"social media,\" and \"misinformation\" were the top 3 trending keywords, whereas \"learning systems,\" \"learning models,\" and \"learning algorithms\" were revealed as the niche topics on the role of social media in health misinformation and disinformation during the COVID-19 outbreak.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Collaborations between authors can increase their produc","PeriodicalId":73554,"journal":{"name":"JMIR infodemiology","volume":"3 ","pages":"e48620"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551800/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41169310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effective Infodemic Management: A Substantive Article of the Pandemic Accord. 有效的信息管理:《流行病协议》的实质性条款。
Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2023-09-20 DOI: 10.2196/51760
Kazuho Taguchi, Precious Matsoso, Roland Driece, Tovar da Silva Nunes, Ahmed Soliman, Viroj Tangcharoensathien

Social media has proven to be valuable for disseminating public health information during pandemics. However, the circulation of misinformation through social media during public health emergencies, such as the SARS (severe acute respiratory syndrome), Ebola, and COVID-19 pandemics, has seriously hampered effective responses, leading to negative consequences. Intentionally misleading and deceptive fake news aims to harm organizations and individuals. To effectively respond to misinformation, governments should strengthen the management of an "infodemic," which involves monitoring the impact of infodemics through social listening, detecting signals of infodemic spread, mitigating the harmful effects of infodemics, and strengthening the resilience of individuals and communities. The global spread of misinformation requires multisectoral collaboration, such as researchers identifying leading sources of misinformation and superspreaders, media agencies identifying and debunking misinformation, technology platforms reducing the distribution of false or misleading posts and guiding users to health information from credible sources, and governments disseminating clear public health information in partnership with trusted messengers. Additionally, fact-checking has room for improvement through the use of automated checks. Collaboration between governments and fact-checking agencies should also be strengthened via effective and timely debunking mechanisms. Though the Intergovernmental Negotiating Body (INB) has yet to define the term "infodemic," Article 18 of the INB Bureau's text, developed for the Pandemic Accord, encompasses a range of actions aimed at enhancing infodemic management. The INB Bureau continues to facilitate evidence-informed discussion for an implementable article on infodemic management.

事实证明,社交媒体在大流行病期间传播公共卫生信息很有价值。然而,在SARS(严重急性呼吸系统综合征)、埃博拉和新冠肺炎大流行等突发公共卫生事件期间,通过社交媒体传播错误信息,严重阻碍了有效应对,导致负面后果。故意误导和欺骗性的假新闻旨在伤害组织和个人。为了有效应对错误信息,政府应加强“信息传播”的管理,包括通过社会倾听监测信息传播的影响,检测信息传播的信号,减轻信息传播的有害影响,以及加强个人和社区的复原力。错误信息的全球传播需要多部门合作,例如研究人员确定错误信息的主要来源和超级传播者,媒体机构识别和揭穿错误信息,技术平台减少虚假或误导性帖子的传播,并引导用户从可信来源获得健康信息,政府与值得信赖的信使合作传播明确的公共卫生信息。此外,通过使用自动检查,事实核查还有改进的空间。政府和事实核查机构之间的合作也应通过有效和及时的揭露机制得到加强。尽管政府间谈判机构(INB)尚未定义“信息传播”一词,但INB主席团为《流行病协议》制定的文本第18条包含了一系列旨在加强信息传播管理的行动。INB局继续为一篇关于信息管理的可实施文章提供证据知情的讨论。
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引用次数: 0
Content and User Engagement of Health-Related Behavior Tweets Posted by Mass Media Outlets From Spain and the United States Early in the COVID-19 Pandemic: Observational Infodemiology Study. 新冠肺炎大流行早期西班牙和美国大众媒体发布的健康相关行为推文的内容和用户参与度:观察性信息学研究。
Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2023-08-22 DOI: 10.2196/43685
Miguel Angel Alvarez-Mon, Victor Pereira-Sanchez, Elizabeth R Hooker, Facundo Sanchez, Melchor Alvarez-Mon, Alan R Teo
<p><strong>Background: </strong>During the early pandemic, there was substantial variation in public and government responses to COVID-19 in Europe and the United States. Mass media are a vital source of health information and news, frequently disseminating this information through social media, and may influence public and policy responses to the pandemic.</p><p><strong>Objective: </strong>This study aims to describe the extent to which major media outlets in the United States and Spain tweeted about health-related behaviors (HRBs) relevant to COVID-19, compare the tweeting patterns between media outlets of both countries, and determine user engagement in response to these tweets.</p><p><strong>Methods: </strong>We investigated tweets posted by 30 major media outlets (n=17, 57% from Spain and n=13, 43% from the United States) between December 1, 2019 and May 31, 2020, which included keywords related to HRBs relevant to COVID-19. We classified tweets into 6 categories: mask-wearing, physical distancing, handwashing, quarantine or confinement, disinfecting objects, or multiple HRBs (any combination of the prior HRB categories). Additionally, we assessed the likes and retweets generated by each tweet. Poisson regression analyses compared the average predicted number of likes and retweets between the different HRB categories and between countries.</p><p><strong>Results: </strong>Of 50,415 tweets initially collected, 8552 contained content associated with an HRB relevant to COVID-19. Of these, 600 were randomly chosen for training, and 2351 tweets were randomly selected for manual content analysis. Of the 2351 COVID-19-related tweets included in the content analysis, 62.91% (1479/2351) mentioned at least one HRB. The proportion of COVID-19 tweets mentioning at least one HRB differed significantly between countries (P=.006). Quarantine or confinement was mentioned in nearly half of all the HRB tweets in both countries. In contrast, the least frequently mentioned HRBs were disinfecting objects in Spain 6.9% (56/809) and handwashing in the United States 9.1% (61/670). For tweets from the United States mentioning at least one HRB, disinfecting objects had the highest median likes and retweets, whereas mask-wearing- and handwashing-related tweets achieved the highest median number of likes in Spain. Tweets from Spain that mentioned social distancing or disinfecting objects had a significantly lower predicted count of likes compared with tweets mentioning a different HRB (P=.02 and P=.01, respectively). Tweets from the United States that mentioned quarantine or confinement or disinfecting objects had a significantly lower predicted number of likes compared with tweets mentioning a different HRB (P<.001), whereas mask- and handwashing-related tweets had a significantly greater predicted number of likes (P=.04 and P=.02, respectively).</p><p><strong>Conclusions: </strong>The type of HRB content and engagement with media outlet tweets varied between Spain and
背景:在早期大流行期间,欧洲和美国公众和政府对新冠肺炎的反应有很大差异。大众媒体是健康信息和新闻的重要来源,经常通过社交媒体传播这些信息,并可能影响公众和政策对疫情的反应。目的:本研究旨在描述美国和西班牙主要媒体在推特上发布与新冠肺炎相关的健康相关行为(HRB)的程度,比较两国媒体之间的推特模式,并确定用户对这些推特的反应。方法:我们调查了30家主要媒体(n=17,57%来自西班牙,n=13,43%来自美国)在2019年12月1日至2020年5月31日期间发布的推文,其中包括与新冠肺炎相关的HRB相关的关键词。我们将推文分为6类:戴口罩、保持身体距离、洗手、隔离或禁闭、消毒物品或多个HRB(之前HRB类别的任何组合)。此外,我们还评估了每条推文的点赞和转发量。泊松回归分析比较了不同HRB类别之间以及国家之间的平均预测点赞和转发数量。结果:在最初收集的50415条推文中,8552条包含与新冠肺炎相关的HRB相关的内容。其中,600条被随机选择进行培训,2351条推文被随机选择用于手动内容分析。在内容分析中包括的2351条新冠肺炎相关推文中,62.91%(1479/2351)提到了至少一条HRB。新冠肺炎推文中提及至少一种HRB的比例在各国之间存在显著差异(P=.006)。两国近一半的HRB推文中提到了隔离或监禁。相比之下,最不常被提及的HRB是西班牙6.9%(56/809)的消毒对象和美国9.1%(61/670)的洗手对象。在美国提到至少一个HRB的推文中,消毒物品的点赞和转发中位数最高,而在西班牙,与戴口罩和洗手相关的推文的点赞中位数最高。与提到不同HRB的推文相比,来自西班牙的推文中提到保持社交距离或消毒物品的预测点赞数要低得多(分别为P=0.02和P=0.01)。与提到不同HRB的推文相比,来自美国的推文中提到隔离、禁闭或消毒物品的预测点赞数要低得多(结论:在疫情早期,西班牙和美国的HRB内容类型和媒体推文参与度各不相同。然而,两国与隔离或禁闭以及洗手相关的内容相对较高。
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JMIR infodemiology
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