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Uncovering the Top Nonadvertising Weight Loss Websites on Google: A Data-Mining Approach. 发现b谷歌上的顶级非广告减肥网站:一种数据挖掘方法。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-12-11 DOI: 10.2196/51701
Carlos A Almenara, Hayriye Gulec

Background: Online weight loss information is commonly sought by internet users, and it may impact their health decisions and behaviors. Previous studies examined a limited number of Google search queries and relied on manual approaches to retrieve online weight loss websites.

Objective: This study aimed to identify and describe the characteristics of the top weight loss websites on Google.

Methods: This study gathered 432 Google search queries collected from Google autocomplete suggestions, "People Also Ask" featured questions, and Google Trends data. A data-mining software tool was developed to retrieve the search results automatically, setting English and the United States as the default criteria for language and location, respectively. Domain classification and evaluation technologies were used to categorize the websites according to their content and determine their risk of cyberattack. In addition, the top 5 most frequent websites in nonadvertising (ie, nonsponsored) search results were inspected for quality.

Results: The results revealed that the top 5 nonadvertising websites were healthline.com, webmd.com, verywellfit.com, mayoclinic.org, and womenshealthmag.com. All provided accuracy statements and author credentials. The domain categorization taxonomy yielded a total of 101 unique categories. After grouping the websites that appeared less than 5 times, the most frequent categories involved "Health" (104/623, 16.69%), "Personal Pages and Blogs" (91/623, 14.61%), "Nutrition and Diet" (48/623, 7.7%), and "Exercise" (34/623, 5.46%). The risk of being a victim of a cyberattack was low.

Conclusions: The findings suggested that while quality information is accessible, users may still encounter less reliable content among various online resources. Therefore, better tools and methods are needed to guide users toward trustworthy weight loss information.

背景:网上减肥信息是互联网用户普遍寻求的,它可能会影响他们的健康决策和行为。之前的研究调查了有限数量的谷歌搜索查询,并依赖于手动方法检索在线减肥网站。目的:本研究旨在识别和描述b谷歌上的顶级减肥网站的特点。方法:本研究收集了从谷歌自动补全建议、“People Also Ask”特色问题和谷歌Trends数据中收集的432条谷歌搜索查询。开发了一个数据挖掘软件工具来自动检索搜索结果,分别将英语和美国设置为语言和位置的默认标准。采用领域分类和评估技术,根据网站内容对网站进行分类,确定网站遭受网络攻击的风险。此外,在非广告(即非赞助)搜索结果中最常见的前5个网站的质量进行了检查。结果:非广告网站排名前5位的分别是healthline.com、webmd.com、verywellfit.com、mayoclinic.org和womenshealthmag.com。所有人都提供了准确性声明和作者证书。领域分类分类法产生了总共101个唯一的类别。在对出现次数少于5次的网站进行分组后,最常见的类别包括“健康”(164 /623,16.69%)、“个人网页和博客”(91/623,14.61%)、“营养和饮食”(48/623,7.7%)和“锻炼”(34/623,5.46%)。成为网络攻击受害者的风险很低。结论:研究结果表明,虽然高质量的信息是可访问的,但用户在各种在线资源中仍然可能遇到不太可靠的内容。因此,需要更好的工具和方法来引导用户获得值得信赖的减肥信息。
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引用次数: 0
Association Between X/Twitter and Prescribing Behavior During the COVID-19 Pandemic: Retrospective Ecological Study. COVID-19 大流行期间 X/Twitter 与处方行为之间的关系:回顾性生态研究。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-11-18 DOI: 10.2196/56675
Scott A Helgeson, Rohan M Mudgalkar, Keith A Jacobs, Augustine S Lee, Devang Sanghavi, Pablo Moreno Franco, Ian S Brooks
<p><strong>Background: </strong>Social media has become a vital tool for health care providers to quickly share information. However, its lack of content curation and expertise poses risks of misinformation and premature dissemination of unvalidated data, potentially leading to widespread harmful effects due to the rapid and large-scale spread of incorrect information.</p><p><strong>Objective: </strong>We aim to determine whether social media had an undue association with the prescribing behavior of hydroxychloroquine, using the COVID-19 pandemic as the setting.</p><p><strong>Methods: </strong>In this retrospective study, we gathered the use of hydroxychloroquine in 48 hospitals in the United States between January and December 2020. Social media data from X/Twitter was collected using Brandwatch, a commercial aggregator with access to X/Twitter's data, and focused on mentions of "hydroxychloroquine" and "Plaquenil." Tweets were categorized by sentiment (positive, negative, or neutral) using Brandwatch's sentiment analysis tool, with results classified by date. Hydroxychloroquine prescription data from the National COVID Cohort Collaborative for 2020 was used. Granger causality and linear regression models were used to examine relationships between X/Twitter mentions and prescription trends, using optimum time lags determined via vector auto-regression.</p><p><strong>Results: </strong>A total of 581,748 patients with confirmed COVID-19 were identified. The median daily number of positive COVID-19 cases was 1318.5 (IQR 1005.75-1940.3). Before the first confirmed COVID-19 case, hydroxychloroquine was prescribed at a median rate of 559 (IQR 339.25-728.25) new prescriptions per day. A day-of-the-week effect was noted in both prescriptions and case counts. During the pandemic in 2020, hydroxychloroquine prescriptions increased significantly, with a median of 685.5 (IQR 459.75-897.25) per day, representing a 22.6% rise from baseline. The peak occurred on April 2, 2020, with 3411 prescriptions, a 397.6% increase. Hydroxychloroquine mentions on X/Twitter peaked at 254,770 per day on April 5, 2020, compared to a baseline of 9124 mentions per day before January 21, 2020. During this study's period, 3,823,595 total tweets were recorded, with 10.09% (n=386,115) positive, 37.87% (n=1,448,030) negative, and 52.03% (n=1,989,450) neutral sentiments. A 1-day lag was identified as the optimal time for causal association between tweets and hydroxychloroquine prescriptions. Univariate analysis showed significant associations across all sentiment types, with the largest impact from positive tweets. Multivariate analysis revealed only neutral and negative tweets significantly affected next-day prescription rates.</p><p><strong>Conclusions: </strong>During the first year of the COVID-19 pandemic, there was a significant association between X/Twitter mentions and the number of prescriptions of hydroxychloroquine. This study showed that X/Twitter has an association with
背景:社交媒体已成为医疗服务提供者快速分享信息的重要工具。然而,由于社交媒体缺乏内容策划和专业知识,存在误导信息和过早传播未经验证的数据的风险,可能会因错误信息的快速和大规模传播而导致广泛的有害影响:我们旨在以 COVID-19 大流行为背景,确定社交媒体是否与羟氯喹的处方行为有不当关联:在这项回顾性研究中,我们收集了 2020 年 1 月至 12 月期间美国 48 家医院使用羟氯喹的情况。我们使用可访问 X/Twitter 数据的商业聚合器 Brandwatch 收集了来自 X/Twitter 的社交媒体数据,重点关注 "羟氯喹 "和 "Plaquenil "的提及情况。使用 Brandwatch 的情感分析工具对推文进行了情感分类(正面、负面或中性),并按日期对结果进行了分类。使用的羟氯喹处方数据来自 2020 年全国 COVID 队列协作组织。使用格兰杰因果关系和线性回归模型来检验 X/Twitter 提及与处方趋势之间的关系,并使用通过向量自动回归确定的最佳时间滞后:共发现 581 748 名确诊 COVID-19 的患者。COVID-19 阳性病例的日中位数为 1318.5(IQR 1005.75-1940.3)。在出现首例 COVID-19 确诊病例之前,羟氯喹的处方量中位数为每天 559(IQR 339.25-728.25)个新处方。处方量和病例数都出现了周日效应。在 2020 年大流行期间,羟氯喹处方量显著增加,中位数为每天 685.5(IQR 459.75-897.25),比基线增加了 22.6%。峰值出现在 2020 年 4 月 2 日,共有 3411 个处方,增长了 397.6%。2020 年 4 月 5 日,羟氯喹在 X/Twitter 上的提及量达到峰值,为每天 254770 次,而 2020 年 1 月 21 日前的基线为每天 9124 次。在本研究期间,共记录了 3,823,595 条推文,其中正面推文占 10.09%(n=386,115),负面推文占 37.87%(n=1,448,030),中性推文占 52.03%(n=1,989,450)。推文与羟氯喹处方之间因果关系的最佳时间为 1 天。单变量分析表明,所有情绪类型都存在显著关联,其中正面推文的影响最大。多变量分析显示,只有中性和负面推文对次日处方率有显著影响:结论:在 COVID-19 大流行的第一年,X/Twitter 提及与羟氯喹处方数量之间存在显著关联。这项研究表明,X/Twitter 与羟氯喹的处方行为有关。临床医生需要警惕他们可能无意识地接触到社交媒体作为医学知识的来源,而医疗系统和组织在社交媒体平台上分享证据时,需要更加努力地识别专业知识、证据来源和证据质量。
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引用次数: 0
Correction: Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences. 更正:探索 COVID-19 大流行对日本 Twitter 的影响:对被打乱的计划和后果的定性分析。
IF 4.3 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-10-29 DOI: 10.2196/67434
Masaru Kamba, Wan Jou She, Kiki Ferawati, Shoko Wakamiya, Eiji Aramaki

[This corrects the article DOI: 10.2196/49699.].

[此处更正了文章 DOI:10.2196/49699]。
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引用次数: 0
Detection and Characterization of Online Substance Use Discussions Among Gamers: Qualitative Retrospective Analysis of Reddit r/StopGaming Data. 游戏玩家在线物质使用讨论的检测与特征描述:对 Reddit r/StopGaming 数据的定性回顾分析。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-10-02 DOI: 10.2196/58201
Nicolette Le, Tiana McMann, Luning Yang, Zhuoran Li, Raphael E Cuomo, Tim K Mackey
<p><strong>Background: </strong>Video games have rapidly become mainstream in recent decades, with over half of the US population involved in some form of digital gaming. However, concerns regarding the potential harms of excessive, disordered gaming have also risen. Internet gaming disorder (IGD) has been proposed as a tentative psychiatric disorder that requires further study by the American Psychological Association (APA) and is recognized as a behavioral addiction by the World Health Organization. Substance use among gamers has also become a concern, with caffeinated or energy drinks and prescription stimulants commonly used for performance enhancement.</p><p><strong>Objective: </strong>This study aimed to identify substance use patterns and health-related concerns among gamers among a population of Reddit users.</p><p><strong>Methods: </strong>We used the public streaming Reddit application programming interface to collect and analyze all posts from the popular subreddit, r/StopGaming. From this corpus of posts, we filtered the dataset for keywords associated with common substances that may be used to enhance gaming performance. We then applied an inductive coding approach to characterize substance use behaviors, gaming genres, and physical and mental health concerns. Potential disordered gaming behavior was also identified using the tentative IGD guidelines proposed by the APA. A chi-square test of independence was used to assess the association between gaming disorder and substance use characteristics, and multivariable logistic regression was used to analyze whether mental health discussion or the mention of any substance with sufficient sample size was significantly associated with IGD.</p><p><strong>Results: </strong>In total, 10,551 posts were collected from Reddit from June 2017 to December 2022. After filtering the dataset for substance-related keywords, 1057 were included for further analysis, of which 286 mentioned both gaming and the use of ≥1 substances. Among the 286 posts that discussed both gaming and substance use, the most mentioned substances were alcohol (n=132), cannabis (n=104), and nicotine (n=48), while the most mentioned genres were role-playing games (n=120), shooters (n=90), and multiplayer online battle arenas (n=43). Self-reported behavior that aligned with the tentative guidelines for IGD was identified in 66.8% (191/286) posts. More than half, 62.9% (180/286) of the posts, discussed a health issue, with the majority (n=144) cited mental health concerns. Common mental health concerns discussed were depression and anxiety. There was a significant association between IGD and substance use (P<.001; chi-square test), and there were significantly increased odds of IGD among those who self-reported substance use (odds ratio 2.29, P<.001) and those who discussed mental health (odds ratio 1.64, P<.03).</p><p><strong>Conclusions: </strong>As gaming increasingly becomes highly prevalent among various age groups and demogra
背景:近几十年来,电子游戏迅速成为主流,美国一半以上的人口都参与了某种形式的数字游戏。然而,人们对过度、无序游戏的潜在危害也越来越关注。美国心理学会(APA)已提出网络游戏障碍(IGD)是一种需要进一步研究的暂定精神疾病,世界卫生组织也将其认定为一种行为成瘾。游戏玩家使用药物也已成为一个令人担忧的问题,通常使用含咖啡因或能量饮料和处方兴奋剂来提高游戏表现:本研究旨在确定 Reddit 用户群中游戏玩家的药物使用模式和健康相关问题:我们使用公共流 Reddit 应用程序编程接口收集并分析了热门子论坛 r/StopGaming 中的所有帖子。从这些帖子中,我们筛选出了与可能用于提高游戏性能的常见物质相关的关键词。然后,我们采用归纳编码法来描述药物使用行为、游戏类型以及身心健康问题。此外,我们还根据美国心理学会(APA)提出的 IGD 暂定指南,对潜在的失调游戏行为进行了识别。采用卡方独立性检验评估游戏障碍与药物使用特征之间的关联,并采用多变量逻辑回归分析心理健康讨论或提及任何药物是否与 IGD 有显著关联:从2017年6月到2022年12月,共从Reddit上收集了10551个帖子。在对数据集进行药物相关关键词过滤后,有1057个帖子被纳入进一步分析,其中286个帖子同时提到了游戏和使用≥1种药物。在这 286 篇既讨论游戏又讨论药物使用的帖子中,提及最多的药物是酒精(n=132)、大麻(n=104)和尼古丁(n=48),而提及最多的游戏类型是角色扮演游戏(n=120)、射击游戏(n=90)和多人在线对战游戏(n=43)。在 66.8%(191/286)的帖子中发现了符合 IGD 暂定准则的自我报告行为。超过一半的帖子,即 62.9%(180/286)讨论了健康问题,其中大多数(n=144)提到了心理健康问题。常见的心理健康问题是抑郁和焦虑。IGD 与药物使用之间存在明显的关联(PC 结论:随着游戏在不同年龄段和人口群体中日益盛行,更好地了解无序游戏、药物使用和对健康的负面影响之间的相互作用和趋同性,可以为制定干预措施提供信息,以降低风险并促进更健康的游戏习惯。
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引用次数: 0
Evaluating the Influence of Role-Playing Prompts on ChatGPT's Misinformation Detection Accuracy: Quantitative Study. 评估角色扮演提示对 ChatGPT 错误信息检测准确性的影响:定量研究。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-09-26 DOI: 10.2196/60678
Michael Robert Haupt, Luning Yang, Tina Purnat, Tim Mackey

Background: During the COVID-19 pandemic, the rapid spread of misinformation on social media created significant public health challenges. Large language models (LLMs), pretrained on extensive textual data, have shown potential in detecting misinformation, but their performance can be influenced by factors such as prompt engineering (ie, modifying LLM requests to assess changes in output). One form of prompt engineering is role-playing, where, upon request, OpenAI's ChatGPT imitates specific social roles or identities. This research examines how ChatGPT's accuracy in detecting COVID-19-related misinformation is affected when it is assigned social identities in the request prompt. Understanding how LLMs respond to different identity cues can inform messaging campaigns, ensuring effective use in public health communications.

Objective: This study investigates the impact of role-playing prompts on ChatGPT's accuracy in detecting misinformation. This study also assesses differences in performance when misinformation is explicitly stated versus implied, based on contextual knowledge, and examines the reasoning given by ChatGPT for classification decisions.

Methods: Overall, 36 real-world tweets about COVID-19 collected in September 2021 were categorized into misinformation, sentiment (opinions aligned vs unaligned with public health guidelines), corrections, and neutral reporting. ChatGPT was tested with prompts incorporating different combinations of multiple social identities (ie, political beliefs, education levels, locality, religiosity, and personality traits), resulting in 51,840 runs. Two control conditions were used to compare results: prompts with no identities and those including only political identity.

Results: The findings reveal that including social identities in prompts reduces average detection accuracy, with a notable drop from 68.1% (SD 41.2%; no identities) to 29.3% (SD 31.6%; all identities included). Prompts with only political identity resulted in the lowest accuracy (19.2%, SD 29.2%). ChatGPT was also able to distinguish between sentiments expressing opinions not aligned with public health guidelines from misinformation making declarative statements. There were no consistent differences in performance between explicit and implicit misinformation requiring contextual knowledge. While the findings show that the inclusion of identities decreased detection accuracy, it remains uncertain whether ChatGPT adopts views aligned with social identities: when assigned a conservative identity, ChatGPT identified misinformation with nearly the same accuracy as it did when assigned a liberal identity. While political identity was mentioned most frequently in ChatGPT's explanations for its classification decisions, the rationales for classifications were inconsistent across study conditions, and contradictory explanations were provided in some instances.

背景:在 COVID-19 大流行期间,社交媒体上错误信息的快速传播给公共卫生带来了巨大挑战。在大量文本数据上进行预训练的大型语言模型(LLM)在检测错误信息方面已显示出潜力,但其性能可能会受到提示工程(即修改 LLM 请求以评估输出变化)等因素的影响。角色扮演是提示工程的一种形式,OpenAI 的 ChatGPT 会根据请求模仿特定的社会角色或身份。本研究探讨了当 ChatGPT 在请求提示中被赋予社会身份时,其检测 COVID-19 相关错误信息的准确性会受到怎样的影响。了解 LLM 对不同身份提示的反应可以为信息传播活动提供参考,确保在公共健康传播中的有效使用:本研究调查了角色扮演提示对 ChatGPT 检测错误信息准确性的影响。本研究还根据上下文知识,评估了明示与暗示错误信息时的性能差异,并考察了 ChatGPT 在做出分类决定时给出的推理:总体而言,2021 年 9 月收集的有关 COVID-19 的 36 条真实推文被分为错误信息、情绪(与公共卫生指南一致与不一致的观点)、更正和中立报告。ChatGPT 测试了多种社会身份(即政治信仰、教育水平、地域、宗教信仰和个性特征)的不同组合提示,共运行了 51840 次。比较结果时使用了两种对照条件:不包含身份的提示和只包含政治身份的提示:结果显示,在提示中包含社会身份会降低平均检测准确率,从 68.1%(标准差 41.2%;无身份)显著降至 29.3%(标准差 31.6%;包含所有身份)。只有政治身份的提示准确率最低(19.2%,标准差 29.2%)。ChatGPT 还能区分表达不符合公共卫生准则的观点的情绪和发表宣言的错误信息。在需要上下文知识的显性和隐性错误信息之间,表现没有一致的差异。虽然研究结果表明加入身份会降低检测准确率,但仍不能确定 ChatGPT 是否采纳了与社会身份相一致的观点:当被赋予保守身份时,ChatGPT 识别错误信息的准确率与被赋予自由身份时几乎相同。虽然 ChatGPT 在解释其分类决定时最常提到的是政治身份,但在不同的研究条件下,分类的理由并不一致,而且在某些情况下还提供了相互矛盾的解释:这些结果表明,在角色扮演社会身份时,ChatGPT 对错误信息进行分类的能力会受到负面影响,这凸显了在 LLM 中整合人类偏见和观点的复杂性。这说明在使用 LLMs 检测错误信息时需要人为监督。要了解 LLMs 在基于提示的任务中如何权衡社会身份,并探索其在不同文化背景下的应用,还需要进一步的研究。
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引用次数: 0
Public Perception of the Tobacco 21 Amendment on Twitter in the United States: Observational Study. 美国推特上公众对烟草 21 修正案的看法:观察研究。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-09-25 DOI: 10.2196/53899
Liane M Schneller-Najm, Zidian Xie, Jiarui Chen, Sarah Lee, Emily Xu, Dongmei Li

Background: Following the signing of the Tobacco 21 Amendment (T21) in December 2019 to raise the minimum legal age for the sale of tobacco products from 18 to 21 years in the United States, there is a need to monitor public responses and potential unintended consequences. Social media platforms, such as Twitter (subsequently rebranded as X), can provide rich data on public perceptions.

Objective: This study contributes to the literature using Twitter data to assess the knowledge and beliefs of T21.

Methods: Twitter data were collected from November 2019 to February 2021 using the Twitter streaming application programming interface with keywords related to vaping or e-cigarettes, such as "vape," "ecig," etc. The temporal trend of the T21 discussion on Twitter was examined using the mean number of daily T21-related tweets. Inductive methods were used to manually code the tweets into different sentiment groups (positive, neutral, and negative) based on the attitude expressed toward the policy by 3 coders with high interrater reliability. Topics discussed were examined within each sentiment group through theme analyses.

Results: Among the collected 3197 tweets, 2169 tweets were related to T21, of which 444 tweets (20.5%) showed a positive attitude, 736 (33.9%) showed a negative attitude, and 989 (45.6%) showed a neutral attitude. The temporal trend showed a clear peak in the number of tweets around January 2020, following the enactment of this legislation. For positive tweets, the most frequent topics were "avoidance of further regulation" (120/444, 27%), "Enforce T21" (110/444, 24.8%), and "health benefits" (81/444, 18.2%). For negative tweets, the most frequent topics were "general disagreement or frustration" (207/736, 28.1%) and "will still use tobacco" (188/736, 25.5%). Neutral tweets were primarily "public service announcements (PSA) or news posts" (782/989, 79.1%).

Conclusions: Overall, we find that one-third of tweets displayed a negative attitude toward T21 during the study period. Many were frustrated with T21 and reported that underage consumers could still obtain products. Social media data provide a timely opportunity to monitor public perceptions and responses to regulatory actions. Continued monitoring can inform enforcement efforts and potential unintended consequences of T21.

背景:美国于 2019 年 12 月签署了《烟草 21 修正案》(T21),将烟草产品的最低法定销售年龄从 18 岁提高到 21 岁,此后,有必要监测公众的反应和潜在的意外后果。社交媒体平台,如 Twitter(后更名为 X),可以提供有关公众看法的丰富数据:本研究利用 Twitter 数据评估对 T21 的认识和信念,为相关文献做出了贡献:从 2019 年 11 月到 2021 年 2 月,我们使用 Twitter 流媒体应用程序接口收集了 Twitter 数据,其中包含与吸烟或电子烟相关的关键词,如 "vape"、"ecig "等。使用每日 T21 相关推文的平均数量来研究 Twitter 上 T21 讨论的时间趋势。使用归纳法将推文人工编码为不同的情感组(积极、中性和消极),这些情感组由 3 位编码者根据人们对该政策所表达的态度进行编码,编码者之间的信度很高。通过主题分析对每个情感组中讨论的主题进行研究:在收集到的 3197 条推文中,2169 条与 T21 相关,其中 444 条(20.5%)持积极态度,736 条(33.9%)持消极态度,989 条(45.6%)持中立态度。从时间趋势来看,2020 年 1 月左右,即该立法颁布后,推文数量出现了一个明显的高峰。在正面推文中,最常出现的话题是 "避免进一步监管"(120/444,27%)、"执行 T21"(110/444,24.8%)和 "健康益处"(81/444,18.2%)。在负面推文中,最常见的主题是 "一般的不同意或沮丧"(207/736,28.1%)和 "仍将使用烟草"(188/736,25.5%)。中性推文主要是 "公益广告或新闻"(782/989,79.1%):总体而言,我们发现三分之一的推文在研究期间对 T21 持负面态度。许多人对 T21 感到失望,并称未成年消费者仍可获得产品。社交媒体数据为监测公众对监管行动的看法和反应提供了一个及时的机会。持续监测可为 T21 的执法工作和潜在意外后果提供信息。
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引用次数: 0
The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review. 在 Reddit 中使用自然语言处理方法调查阿片类药物使用情况:范围界定综述》(The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review)。
IF 2.3 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-09-13 DOI: 10.2196/51156
Alexandra Almeida, Thomas Patton, Mike Conway, Amarnath Gupta, Steffanie A Strathdee, Annick Bórquez

Background: The growing availability of big data spontaneously generated by social media platforms allows us to leverage natural language processing (NLP) methods as valuable tools to understand the opioid crisis.

Objective: We aimed to understand how NLP has been applied to Reddit (Reddit Inc) data to study opioid use.

Methods: We systematically searched for peer-reviewed studies and conference abstracts in PubMed, Scopus, PsycINFO, ACL Anthology, IEEE Xplore, and Association for Computing Machinery data repositories up to July 19, 2022. Inclusion criteria were studies investigating opioid use, using NLP techniques to analyze the textual corpora, and using Reddit as the social media data source. We were specifically interested in mapping studies' overarching goals and findings, methodologies and software used, and main limitations.

Results: In total, 30 studies were included, which were classified into 4 nonmutually exclusive overarching goal categories: methodological (n=6, 20% studies), infodemiology (n=22, 73% studies), infoveillance (n=7, 23% studies), and pharmacovigilance (n=3, 10% studies). NLP methods were used to identify content relevant to opioid use among vast quantities of textual data, to establish potential relationships between opioid use patterns or profiles and contextual factors or comorbidities, and to anticipate individuals' transitions between different opioid-related subreddits, likely revealing progression through opioid use stages. Most studies used an embedding technique (12/30, 40%), prediction or classification approach (12/30, 40%), topic modeling (9/30, 30%), and sentiment analysis (6/30, 20%). The most frequently used programming languages were Python (20/30, 67%) and R (2/30, 7%). Among the studies that reported limitations (20/30, 67%), the most cited was the uncertainty regarding whether redditors participating in these forums were representative of people who use opioids (8/20, 40%). The papers were very recent (28/30, 93%), from 2019 to 2022, with authors from a range of disciplines.

Conclusions: This scoping review identified a wide variety of NLP techniques and applications used to support surveillance and social media interventions addressing the opioid crisis. Despite the clear potential of these methods to enable the identification of opioid-relevant content in Reddit and its analysis, there are limits to the degree of interpretive meaning that they can provide. Moreover, we identified the need for standardized ethical guidelines to govern the use of Reddit data to safeguard the anonymity and privacy of people using these forums.

背景:社交媒体平台自发产生的大数据越来越多,我们可以利用自然语言处理(NLP)方法作为了解阿片类药物危机的宝贵工具:我们旨在了解如何将 NLP 应用于 Reddit(Reddit 公司)数据,以研究阿片类药物的使用情况:我们在 PubMed、Scopus、PsycINFO、ACL Anthology、IEEE Xplore 和计算机械协会数据资源库中系统地搜索了截至 2022 年 7 月 19 日的同行评审研究和会议摘要。纳入标准是调查阿片类药物使用情况的研究,使用 NLP 技术分析文本语料库,并使用 Reddit 作为社交媒体数据源。我们特别关注研究的总体目标和发现、使用的方法和软件以及主要局限性:共纳入了 30 项研究,这些研究分为 4 个互不排斥的总体目标类别:方法学(6 项,占 20%)、信息病理学(22 项,占 73%)、信息监测(7 项,占 23%)和药物警戒(3 项,占 10%)。NLP 方法用于在大量文本数据中识别与阿片类药物使用相关的内容,建立阿片类药物使用模式或概况与背景因素或合并症之间的潜在关系,并预测个人在不同阿片类药物相关子论坛之间的转换,从而揭示阿片类药物使用阶段的进展。大多数研究使用了嵌入技术(12/30,40%)、预测或分类方法(12/30,40%)、主题建模(9/30,30%)和情感分析(6/30,20%)。最常用的编程语言是 Python(20/30,67%)和 R(2/30,7%)。在报告局限性的研究中(20/30,67%),提到最多的是不确定参与这些论坛的红人是否能代表阿片类药物使用者(8/20,40%)。这些论文都是近期发表的(28/30,93%),时间从2019年到2022年,作者来自不同学科:本次范围界定综述发现了用于支持应对阿片类药物危机的监控和社交媒体干预的各种 NLP 技术和应用。尽管这些方法在识别 Reddit 中与阿片类药物相关的内容并对其进行分析方面具有明显的潜力,但它们所能提供的解释性意义程度仍有局限。此外,我们还发现有必要制定标准化的道德准则来规范 Reddit 数据的使用,以保护使用这些论坛的用户的匿名性和隐私。
{"title":"The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review.","authors":"Alexandra Almeida, Thomas Patton, Mike Conway, Amarnath Gupta, Steffanie A Strathdee, Annick Bórquez","doi":"10.2196/51156","DOIUrl":"10.2196/51156","url":null,"abstract":"<p><strong>Background: </strong>The growing availability of big data spontaneously generated by social media platforms allows us to leverage natural language processing (NLP) methods as valuable tools to understand the opioid crisis.</p><p><strong>Objective: </strong>We aimed to understand how NLP has been applied to Reddit (Reddit Inc) data to study opioid use.</p><p><strong>Methods: </strong>We systematically searched for peer-reviewed studies and conference abstracts in PubMed, Scopus, PsycINFO, ACL Anthology, IEEE Xplore, and Association for Computing Machinery data repositories up to July 19, 2022. Inclusion criteria were studies investigating opioid use, using NLP techniques to analyze the textual corpora, and using Reddit as the social media data source. We were specifically interested in mapping studies' overarching goals and findings, methodologies and software used, and main limitations.</p><p><strong>Results: </strong>In total, 30 studies were included, which were classified into 4 nonmutually exclusive overarching goal categories: methodological (n=6, 20% studies), infodemiology (n=22, 73% studies), infoveillance (n=7, 23% studies), and pharmacovigilance (n=3, 10% studies). NLP methods were used to identify content relevant to opioid use among vast quantities of textual data, to establish potential relationships between opioid use patterns or profiles and contextual factors or comorbidities, and to anticipate individuals' transitions between different opioid-related subreddits, likely revealing progression through opioid use stages. Most studies used an embedding technique (12/30, 40%), prediction or classification approach (12/30, 40%), topic modeling (9/30, 30%), and sentiment analysis (6/30, 20%). The most frequently used programming languages were Python (20/30, 67%) and R (2/30, 7%). Among the studies that reported limitations (20/30, 67%), the most cited was the uncertainty regarding whether redditors participating in these forums were representative of people who use opioids (8/20, 40%). The papers were very recent (28/30, 93%), from 2019 to 2022, with authors from a range of disciplines.</p><p><strong>Conclusions: </strong>This scoping review identified a wide variety of NLP techniques and applications used to support surveillance and social media interventions addressing the opioid crisis. Despite the clear potential of these methods to enable the identification of opioid-relevant content in Reddit and its analysis, there are limits to the degree of interpretive meaning that they can provide. Moreover, we identified the need for standardized ethical guidelines to govern the use of Reddit data to safeguard the anonymity and privacy of people using these forums.</p>","PeriodicalId":73554,"journal":{"name":"JMIR infodemiology","volume":"4 ","pages":"e51156"},"PeriodicalIF":2.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11437337/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142302674","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
Effects of COVID-19 Illness and Vaccination Infodemic Through Mobile Health, Social Media, and Electronic Media on the Attitudes of Caregivers and Health Care Providers in Pakistan: Qualitative Exploratory Study. 通过移动医疗、社交媒体和电子媒体传播 COVID-19 疾病和疫苗接种信息对巴基斯坦护理人员和医疗服务提供者态度的影响:定性探索研究。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-09-04 DOI: 10.2196/49366
Abdul Momin Kazi, Nazia Ahsan, Rawshan Jabeen, Raheel Allana, Saima Jamal, Muhammad Ayub Khan Mughal, Kathryn L Hopkins, Fauzia Aman Malik

Background: The COVID-19 pandemic has had a significant impact on different countries because of which various health and safety measures were implemented, with digital media playing a pivotal role. However, digital media also pose significant concerns such as misinformation and lack of direction.

Objective: We aimed to explore the effects of COVID-19-related infodemics through digital, social, and electronic media on the vaccine-related attitudes of caregivers and health care providers in Pakistan.

Methods: This study employs a qualitative exploratory study design with purposive sampling strategies, and it was conducted at 3 primary health care facilities in the province of Sindh, Pakistan. Seven focus group discussions with health care providers and 60 in-depth interviews with caregivers were conducted using semistructured interviews through virtual platforms (ConnectOnCall and Zoom). Transcripts were analyzed through thematic analysis.

Results: Our study reveals the pivotal role of electronic media, mobile health (mHealth), and social media during the COVID-19 pandemic. Four major themes were identified: (1) sources of information on COVID-19 and its vaccination, (2) electronic media value and misleading communication, (3) mHealth leveraging and limitations during COVID-19, and (4) social media influence and barriers during COVID-19. Health care providers and caregivers reported that the common sources of information were electronic media and mHealth, followed by social media. Some participants also used global media for more reliable information related to COVID-19. mHealth solutions such as public awareness messages, videos, call ringtones, and helplines promoted COVID-19 prevention techniques and vaccine registration. However, the overwhelming influx of news and sociobehavioral narratives, including misinformation/disinformation through social media such as WhatsApp, Facebook, and Twitter, were found to be the primary enablers of vaccine-related infodemics. Electronic media and mHealth were utilized more widely to promote information and communication on the COVID-19 pandemic and vaccination. However, social media and electronic media-driven infodemics were identified as the major factors for misinformation related to COVID-19 and vaccine hesitancy. Further, we found a digital divide between the urban and rural populations, with the use of electronic media in rural settings and social media in urban settings.

Conclusions: In a resource-constrained setting like Pakistan, the usage of mHealth, social media, and electronic media for information spread (both factual and mis/disinformation) related to COVID-19 and its vaccination had a significant impact on attitudes toward COVID-19 vaccination. Based on the qualitative findings, we generated a model of digital communications and information dissemination to increase knowledge about CO

背景:COVID-19 大流行对不同国家产生了重大影响,因此各国实施了各种健康和安全措施,其中数字媒体发挥了关键作用。然而,数字媒体也带来了一些重大问题,如信息错误和缺乏指导:我们旨在探讨通过数字、社交和电子媒体传播 COVID-19 相关信息对巴基斯坦护理人员和医疗服务提供者的疫苗相关态度的影响:本研究采用定性探索性研究设计和目的性抽样策略,在巴基斯坦信德省的 3 家初级医疗机构进行。通过虚拟平台(ConnectOnCall 和 Zoom)与医疗服务提供者进行了 7 次焦点小组讨论,并与护理人员进行了 60 次深入访谈。通过主题分析法对访谈记录进行了分析:我们的研究揭示了电子媒体、移动医疗(mHealth)和社交媒体在 COVID-19 大流行期间的关键作用。研究确定了四大主题(1) COVID-19 及其疫苗接种的信息来源,(2) 电子媒体的价值和误导性传播,(3) COVID-19 期间移动医疗的杠杆作用和局限性,以及 (4) COVID-19 期间社交媒体的影响和障碍。医疗服务提供者和护理人员报告称,常见的信息来源是电子媒体和移动医疗,其次是社交媒体。一些参与者还使用全球媒体来获取与 COVID-19 相关的更可靠信息。移动医疗解决方案,如公共宣传信息、视频、呼叫铃声和帮助热线,宣传了 COVID-19 预防技术和疫苗注册。然而,通过 WhatsApp、Facebook 和 Twitter 等社交媒体大量涌入的新闻和社会行为叙述,包括错误信息/不实信息,被认为是疫苗相关信息的主要推动因素。电子媒体和移动医疗被更广泛地用于促进有关 COVID-19 大流行和疫苗接种的信息和传播。然而,社交媒体和电子媒体驱动的信息传播被认为是造成与 COVID-19 和疫苗接种犹豫相关的错误信息的主要因素。此外,我们还发现城市和农村人口之间存在数字鸿沟,在农村环境中使用电子媒体,而在城市环境中使用社交媒体:结论:在巴基斯坦这样一个资源有限的环境中,使用移动医疗、社交媒体和电子媒体传播与 COVID-19 及其疫苗接种相关的信息(包括事实信息和错误/虚假信息)对人们接种 COVID-19 疫苗的态度有重大影响。根据定性研究结果,我们建立了一个数字通信和信息传播模型,以增加人们对 COVID-19 及其预防措施(包括疫苗接种)的了解,该模型可在类似环境中复制,用于其他疾病负担和相关信息。此外,为了减轻信息痴呆症,需要在更大范围内采取数字和非数字干预措施。
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引用次数: 0
Descriptions of Scientific Evidence and Uncertainty of Unproven COVID-19 Therapies in US News: Content Analysis Study. 美国新闻中对未经证实的 COVID-19 疗法的科学证据和不确定性的描述:内容分析研究。
IF 2.3 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-08-29 DOI: 10.2196/51328
Sara Watson, Tyler J Benning, Alessandro R Marcon, Xuan Zhu, Timothy Caulfield, Richard R Sharp, Zubin Master

Background: Politicization and misinformation or disinformation of unproven COVID-19 therapies have resulted in communication challenges in presenting science to the public, especially in times of heightened public trepidation and uncertainty.

Objective: This study aims to examine how scientific evidence and uncertainty were portrayed in US news on 3 unproven COVID-19 therapeutics, prior to the development of proven therapeutics and vaccines.

Methods: We conducted a media analysis of unproven COVID-19 therapeutics in early 2020. A total of 479 discussions of unproven COVID-19 therapeutics (hydroxychloroquine, remdesivir, and convalescent plasma) in traditional and online US news reports from January 1, 2020, to July 30, 2020, were systematically analyzed for theme, scientific evidence, evidence details and limitations, safety, efficacy, and sources of authority.

Results: The majority of discussions included scientific evidence (n=322, 67%) although only 24% (n=116) of them mentioned publications. "Government" was the most frequently named source of authority for safety and efficacy claims on remdesivir (n=43, 35%) while "expert" claims were mostly mentioned for convalescent plasma (n=22, 38%). Most claims on hydroxychloroquine (n=236, 79%) were offered by a "prominent person," of which 97% (n=230) were from former US President Trump. Despite the inclusion of scientific evidence, many claims of the safety and efficacy were made by nonexperts. Few news reports expressed scientific uncertainty in discussions of unproven COVID-19 therapeutics as limitations of evidence were infrequently included in the body of news reports (n=125, 26%) and rarely found in headlines (n=2, 2%) or lead paragraphs (n=9, 9%; P<.001).

Conclusions: These results highlight that while scientific evidence is discussed relatively frequently in news reports, scientific uncertainty is infrequently reported and rarely found in prominent headlines and lead paragraphs.

背景:未经证实的 COVID-19 疗法的政治化、错误信息或虚假信息导致了向公众展示科学的传播挑战,尤其是在公众高度恐慌和不确定的时期:本研究旨在探讨在开发成熟疗法和疫苗之前,美国新闻是如何报道 3 种未经证实的 COVID-19 疗法的科学证据和不确定性的:我们对 2020 年初未经证实的 COVID-19 疗法进行了媒体分析。我们对 2020 年 1 月 1 日至 2020 年 7 月 30 日美国传统新闻报道和网络新闻报道中有关未经证实的 COVID-19 疗法(羟氯喹、雷米地韦和康复血浆)的 479 条讨论进行了系统分析,分析内容包括主题、科学证据、证据细节和局限性、安全性、有效性和权威来源:大多数讨论都包含科学证据(322 条,67%),但其中只有 24% (116 条)提到出版物。关于雷米替韦的安全性和有效性声明,"政府 "是最常被提及的权威来源(43 人,占 35%),而关于康复血浆的声明,"专家 "是最常被提及的来源(22 人,占 38%)。关于羟氯喹的大多数声明(n=236,79%)是由 "知名人士 "提供的,其中 97%(n=230)来自美国前总统特朗普。尽管包含科学证据,但许多关于安全性和有效性的说法都是由非专业人士提出的。很少有新闻报道在讨论未经证实的 COVID-19 疗法时表达了科学上的不确定性,因为证据的局限性很少出现在新闻报道的正文中(n=125,26%),也很少出现在标题(n=2,2%)或主要段落(n=9,9%;PConclusions:这些结果突出表明,虽然科学证据在新闻报道中的讨论频率相对较高,但科学不确定性却很少被报道,也很少出现在醒目的标题和主要段落中。
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引用次数: 0
Ethical Considerations in Infodemic Management: Systematic Scoping Review. 信息管理中的伦理考量:系统性范围审查。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2024-08-29 DOI: 10.2196/56307
Federico Germani, Giovanni Spitale, Sandra Varaidzo Machiri, Calvin Wai Loon Ho, Isabella Ballalai, Nikola Biller-Andorno, Andreas Alois Reis

Background: During health emergencies, effective infodemic management has become a paramount challenge. A new era marked by a rapidly changing information ecosystem, combined with the widespread dissemination of misinformation and disinformation, has magnified the complexity of the issue. For infodemic management measures to be effective, acceptable, and trustworthy, a robust framework of ethical considerations is needed.

Objective: This systematic scoping review aims to identify and analyze ethical considerations and procedural principles relevant to infodemic management, ultimately enhancing the effectiveness of these practices and increasing trust in stakeholders performing infodemic management practices with the goal of safeguarding public health.

Methods: The review involved a comprehensive examination of the literature related to ethical considerations in infodemic management from 2002 to 2022, drawing from publications in PubMed, Scopus, and Web of Science. Policy documents and relevant material were included in the search strategy. Papers were screened against inclusion and exclusion criteria, and core thematic areas were systematically identified and categorized following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We analyzed the literature to identify substantive ethical principles that were crucial for guiding actions in the realms of infodemic management and social listening, as well as related procedural ethical principles. In this review, we consider ethical principles that are extensively deliberated upon in the literature, such as equity, justice, or respect for autonomy. However, we acknowledge the existence and relevance of procedural practices, which we also consider as ethical principles or practices that, when implemented, enhance the efficacy of infodemic management while ensuring the respect of substantive ethical principles.

Results: Drawing from 103 publications, the review yielded several key findings related to ethical principles, approaches, and guidelines for practice in the context of infodemic management. Community engagement, empowerment through education, and inclusivity emerged as procedural principles and practices that enhance the quality and effectiveness of communication and social listening efforts, fostering trust, a key emerging theme and crucial ethical principle. The review also emphasized the significance of transparency, privacy, and cybersecurity in data collection.

Conclusions: This review underscores the pivotal role of ethics in bolstering the efficacy of infodemic management. From the analyzed body of literature, it becomes evident that ethical considerations serve as essential instruments for cultivating trust and credibility while also facilitating the medium-term and long-term viability of infodemic management approaches.

背景:在突发卫生事件中,有效的信息管理已成为一项重大挑战。新时代的特点是信息生态系统瞬息万变,加上错误信息和虚假信息的广泛传播,使问题变得更加复杂。要使信息流行病管理措施有效、可接受且值得信赖,就需要一个强有力的伦理考虑框架:本系统性综述旨在确定和分析与信息流管理相关的伦理考虑因素和程序原则,最终提高这些措施的有效性,并增强利益相关者对信息流管理措施的信任,从而达到保障公众健康的目的:方法:本次研究对 2002 年至 2022 年期间与信息流行病管理中的伦理因素有关的文献进行了全面审查,审查内容来自 PubMed、Scopus 和 Web of Science 中的出版物。搜索策略还包括政策文件和相关资料。我们根据纳入和排除标准对论文进行了筛选,并按照 PRISMA(系统综述和 Meta 分析首选报告项目)指南对核心主题领域进行了系统的识别和分类。我们对文献进行了分析,以确定对指导信息流管理和社会倾听领域的行动至关重要的实质性伦理原则,以及相关的程序性伦理原则。在本综述中,我们考虑了文献中广泛讨论的伦理原则,如公平、正义或尊重自主权。不过,我们也承认程序性实践的存在和相关性,我们也将其视为伦理原则或实践,这些原则或实践在实施时可提高信息学术管理的效率,同时确保尊重实质性伦理原则:从 103 篇出版物中,我们得出了一些与信息流管理方面的伦理原则、方法和实践指南有关的重要结论。社区参与、通过教育增强能力和包容性成为程序性原则和做法,这些原则和做法提高了传播和社会倾听工作的质量和有效性,促进了信任--一个新出现的关键主题和重要的伦理原则。审查还强调了数据收集的透明度、隐私和网络安全的重要性:本综述强调了伦理在提高信息管理效率方面的关键作用。从分析的文献中可以明显看出,伦理因素是培养信任和可信度的重要工具,同时也有利于信息流管理方法的中期和长期可行性。
{"title":"Ethical Considerations in Infodemic Management: Systematic Scoping Review.","authors":"Federico Germani, Giovanni Spitale, Sandra Varaidzo Machiri, Calvin Wai Loon Ho, Isabella Ballalai, Nikola Biller-Andorno, Andreas Alois Reis","doi":"10.2196/56307","DOIUrl":"10.2196/56307","url":null,"abstract":"<p><strong>Background: </strong>During health emergencies, effective infodemic management has become a paramount challenge. A new era marked by a rapidly changing information ecosystem, combined with the widespread dissemination of misinformation and disinformation, has magnified the complexity of the issue. For infodemic management measures to be effective, acceptable, and trustworthy, a robust framework of ethical considerations is needed.</p><p><strong>Objective: </strong>This systematic scoping review aims to identify and analyze ethical considerations and procedural principles relevant to infodemic management, ultimately enhancing the effectiveness of these practices and increasing trust in stakeholders performing infodemic management practices with the goal of safeguarding public health.</p><p><strong>Methods: </strong>The review involved a comprehensive examination of the literature related to ethical considerations in infodemic management from 2002 to 2022, drawing from publications in PubMed, Scopus, and Web of Science. Policy documents and relevant material were included in the search strategy. Papers were screened against inclusion and exclusion criteria, and core thematic areas were systematically identified and categorized following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We analyzed the literature to identify substantive ethical principles that were crucial for guiding actions in the realms of infodemic management and social listening, as well as related procedural ethical principles. In this review, we consider ethical principles that are extensively deliberated upon in the literature, such as equity, justice, or respect for autonomy. However, we acknowledge the existence and relevance of procedural practices, which we also consider as ethical principles or practices that, when implemented, enhance the efficacy of infodemic management while ensuring the respect of substantive ethical principles.</p><p><strong>Results: </strong>Drawing from 103 publications, the review yielded several key findings related to ethical principles, approaches, and guidelines for practice in the context of infodemic management. Community engagement, empowerment through education, and inclusivity emerged as procedural principles and practices that enhance the quality and effectiveness of communication and social listening efforts, fostering trust, a key emerging theme and crucial ethical principle. The review also emphasized the significance of transparency, privacy, and cybersecurity in data collection.</p><p><strong>Conclusions: </strong>This review underscores the pivotal role of ethics in bolstering the efficacy of infodemic management. From the analyzed body of literature, it becomes evident that ethical considerations serve as essential instruments for cultivating trust and credibility while also facilitating the medium-term and long-term viability of infodemic management approaches.</p>","PeriodicalId":73554,"journal":{"name":"JMIR infodemiology","volume":"4 ","pages":"e56307"},"PeriodicalIF":3.5,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11393515/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142115713","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}
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JMIR infodemiology
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