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Shifting Narratives in Media Coverage Across a Decade of Drug Discourse in the Philadelphia Inquirer: Qualitative Sentiment Analysis. 在《费城问询报》的十年毒品话语中,媒体报道中的叙事变化:定性情绪分析。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-05-13 DOI: 10.2196/56004
Layla Bouzoubaa, Ramtin Ehsani, Preetha Chatterjee, Rezvaneh Rezapour

Background: The media has immense power in shaping public narratives surrounding sensitive topics such as substance use. Its portrayals can unintentionally fuel harmful stereotypes and stigma, negatively impacting individuals struggling with addiction, influencing policy decisions, and hindering broader public health efforts.

Objective: This study aimed to examine how the regional newspaper, The Philadelphia Inquirer, covered events related to illicit drug use between 2013 and 2022, focusing on linguistic patterns and themes associated with specific types of substances.

Methods: We collected a dataset of 157,476 articles published in The Philadelphia Inquirer between 2013 and 2022 and categorized mentioned substances into 8 classes: stimulants, narcotics, cannabis, hallucinogens, depressants, designer drugs, drugs of concern, and treatment medications. From these 157,476 articles, we identified 3661 (2.32%) that mentioned at least 1 substance with potential for misuse. Using dynamic topic modeling, we analyzed thematic evolution in coverage across different drug classes. We then applied aspect-based sentiment analysis to extract the most significant phrases mentioned in each distinct drug class annually and examined the sentiments around these aspects to understand shifting discourse patterns.

Results: Cannabis (1575/3661, 43.02%) and narcotics (1361/3661, 37.17%) dominated the coverage, with 2018 showing peak drug-related reporting (666/3661, 18.19%). Our substance co-occurrence analysis revealed that heroin was most frequently discussed alongside treatment medications (methadone, naloxone, and buprenorphine), reflecting evolving approaches to opioid use disorder. Topic modeling revealed distinct themes across drug classes: legislative and medical aspects dominated cannabis coverage, while narcotics coverage focused heavily on overdose deaths and safe injection sites, particularly during 2017 to 2018. Stimulant coverage centered on feature news and crime-related reporting, while treatment coverage showed an increasing focus on overdose prevention by 2021. The aspect-based sentiment analysis showed that 74.3% (165/222) of extracted aspects were portrayed negatively across all drug classes, with narcotics maintaining consistently negative sentiment throughout the period. However, some drug classes showed notable evolution: hallucinogens demonstrated a marked shift in sentiment score (SS) from negative coverage in 2013 (-0.79 SS) to positive coverage of therapeutic applications by 2021 (+0.47 SS), while cannabis coverage reflected complex societal debates, with industry and business aspects showing strong positive sentiment score peaks (0.64 SS in 2019) even as legislation and policy aspects remained volatile (-0.76 SS in 2013 to 0.61 SS in 2019 and declining to -0.31 SS by 2022).

Conclusions: Our analysis revealed a predominance of negat

背景:媒体在围绕诸如药物使用等敏感话题塑造公众叙事方面具有巨大的力量。它的描述可能无意中助长有害的陈规定型观念和污名化,对与成瘾作斗争的个人产生负面影响,影响政策决定,并阻碍更广泛的公共卫生努力。目的:本研究旨在研究地区性报纸《费城问询报》(the Philadelphia Inquirer)在2013年至2022年期间如何报道与非法药物使用有关的事件,重点关注与特定类型药物相关的语言模式和主题。方法:我们收集了2013年至2022年期间发表在《费城问询报》上的157,476篇文章的数据集,并将提到的物质分为8类:兴奋剂、麻醉剂、大麻、致幻剂、抑制剂、设计药物、关注药物和治疗药物。从这157,476篇文章中,我们确定了3661篇(2.32%)提到了至少一种可能被滥用的物质。使用动态主题建模,我们分析了不同药物类别的专题覆盖演变。然后,我们应用基于方面的情绪分析来提取每年在每个不同的药物类别中提到的最重要的短语,并检查围绕这些方面的情绪,以了解不断变化的话语模式。结果:大麻(1575/3661,43.02%)和麻醉品(1361/3661,37.17%)占主导地位,2018年出现毒品相关报告高峰(666/3661,18.19%)。我们的物质共现分析显示,海洛因最常与治疗药物(美沙酮、纳洛酮和丁丙诺啡)一起讨论,反映了阿片类药物使用障碍的发展方法。主题建模揭示了不同药物类别的不同主题:立法和医疗方面主导了大麻报道,而麻醉品报道主要侧重于过量死亡和安全注射地点,特别是在2017年至2018年期间。兴奋剂的报道主要集中在专题新闻和犯罪相关的报道上,而治疗报道则越来越关注到2021年的过量预防。基于方面的情绪分析显示,在所有药物类别中,74.3%(165/222)的提取方面被描述为负面的,麻醉药品在整个期间保持一致的负面情绪。然而,一些药物类别表现出显著的演变:致幻剂的情绪评分(SS)从2013年的负面报道(-0.79 SS)明显转变为2021年的积极报道(+0.47 SS),而大麻的报道反映了复杂的社会辩论,工业和商业方面显示出强烈的积极情绪评分峰值(2019年为0.64 SS),尽管立法和政策方面仍然不稳定(2013年为-0.76 SS, 2019年为0.61 SS,到2022年降至-0.31 SS)。结论:我们的分析显示,负面和惩罚性语言在毒品相关新闻报道中占主导地位,而减少危害原则的代表性有限。虽然一些药物类别,特别是大麻和致幻剂,在医疗应用和政策改革方面的叙述不断演变,但对麻醉品的报道仍然主要集中在犯罪和过量使用上。这些发现表明,需要更平衡的报告,纳入减少伤害的观点,并避免在报道物质使用障碍时使用可能带有污名化的语言。
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引用次数: 0
Infodemic Versus Viral Information Spread: Key Differences and Open Challenges. 信息流行病与病毒式信息传播:关键差异和开放挑战。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-05-07 DOI: 10.2196/57455
Matteo Cinelli, Francesco Gesualdo

Unlabelled: As we move beyond the COVID-19 pandemic, the risk of future infodemics remains significant, driven by emerging health crises and the increasing influence of artificial intelligence in the information ecosystem. During periods of apparent stability, proactive efforts to advance infodemiology are essential for enhancing preparedness and improving public health outcomes. This requires a thorough examination of the foundations of this evolving discipline, particularly in understanding how to accurately identify an infodemic at the appropriate time and scale, and how to distinguish it from other processes of viral information spread, both within and outside the realm of public health. In this paper, we integrate expertise from data science and public health to examine the key differences between information production during an infodemic and viral information spread. We explore both clear and subtle distinctions, including context and contingency (ie, the association of an infodemic and viral information spread with a health crisis); information dynamics in terms of volume, spread, and predictability; the role of misinformation and information voids; societal impact; and mitigation strategies. By analyzing these differences, we highlight challenges and open questions. These include whether an infodemic is solely associated with pandemics or whether it could arise from other health emergencies; if infodemics are limited to health-related issues or if they could emerge from crises initially unrelated to health (like climate events); and whether infodemics are exclusively global phenomena or if they can occur on national or local scales. Finally, we propose directions for future quantitative research to help the scientific community more robustly differentiate between these phenomena and develop tailored management strategies.

未标记:随着我们走出COVID-19大流行,在新出现的卫生危机和人工智能在信息生态系统中日益增加的影响的推动下,未来发生信息流行病的风险仍然很大。在表面稳定时期,积极努力推进信息流行病学对加强防范和改善公共卫生成果至关重要。这需要对这一不断发展的学科的基础进行彻底的检查,特别是要了解如何在适当的时间和规模上准确地识别信息流行,以及如何将其与公共卫生领域内外的病毒信息传播的其他过程区分开来。在本文中,我们整合了来自数据科学和公共卫生的专业知识,以检查信息流行病和病毒式信息传播期间信息生产之间的关键差异。我们探讨了明确和微妙的区别,包括背景和偶然性(即,信息流行病和病毒信息传播与健康危机的关联);在数量、传播和可预测性方面的信息动态;误传和信息空洞的作用;社会影响;以及缓解策略。通过分析这些差异,我们强调了挑战和开放问题。这些问题包括:信息流行是否仅与大流行有关,或者是否可能由其他突发卫生事件引起;如果信息流行病仅限于与健康有关的问题,或者它们可能来自最初与健康无关的危机(如气候事件);以及信息流行病是完全全球性的现象,还是可以在国家或地方范围内发生。最后,我们提出了未来定量研究的方向,以帮助科学界更有力地区分这些现象并制定量身定制的管理策略。
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引用次数: 0
Exploring Topics, Emotions, and Sentiments in Health Organization Posts and Public Responses on Instagram: Content Analysis. 在Instagram上探索卫生组织帖子和公众反应中的主题、情绪和情绪:内容分析。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-05-02 DOI: 10.2196/70576
Abigail Paradise Vit, Avi Magid

Background: Social media is a vital tool for health organizations, enabling them to share evidence-based information, educate the public, correct misinformation, and support a more informed and healthier society.

Objective: This study aimed to categorize health organizations' content on social media into topics; examine public engagement, sentiment, and emotional responses to these topics; and identify gaps in fear between health organizations' messages and the public response.

Methods: Real data were collected from the official Instagram accounts of health organizations worldwide. The BERTopic algorithm for topic modeling was used to categorize health organizations' posts into distinct topics. For each identified topic, we analyzed the engagement metrics (number of comments and likes) of posts categorized under the same topic, calculating the average engagement received. We examined the sentiment and emotional content of both posts and responses within the same topic, providing insights into the distributions of sentiment and emotions for each topic. Special attention was given to identifying emotions, such as fear, expressed in the posts and responses. In addition, a linguistic analysis and an analysis of sentiments and emotions over time were conducted.

Results: A total of 6082 posts and 82,982 comments were collected from the official Instagram accounts of 8 health organizations. The study revealed that topics related to COVID-19, vaccines, and humanitarian crises (such as the Ukraine conflict and the war in Gaza) generated the highest engagement. Our sentiment analysis of the responses to health organizations' posts showed that topics related to vaccines and monkeypox generated the highest percentage of negative responses. Fear was the dominant emotion expressed in the posts' text, while the public's responses showed more varied emotions, with anger notably high in discussions around vaccines. Gaps were observed between the level of fear conveyed in posts published by health organizations and in the fear conveyed in the public's responses to such posts, especially regarding mask wearing during COVID-19 and the influenza vaccine.

Conclusions: This study underscores the importance of transparent communication that considers the emotional and sentiment-driven responses of the public on social media, particularly regarding vaccines. Understanding the psychological and social dynamics associated with public interaction with health information online can help health organizations achieve public health goals, fostering trust, countering misinformation, and promoting informed health behavior.

背景:社交媒体是卫生组织的重要工具,使他们能够分享基于证据的信息,教育公众,纠正错误信息,并支持更知情和更健康的社会。目的:本研究旨在对医疗机构在社交媒体上的内容进行主题分类;检查公众参与、情绪和对这些主题的情绪反应;并确定卫生组织的信息与公众反应之间在恐惧方面的差距。方法:从全球卫生组织的官方Instagram账户中收集真实数据。使用BERTopic算法进行主题建模,将卫生组织的帖子分类为不同的主题。对于每个确定的主题,我们分析了在同一主题下分类的帖子的参与度指标(评论和喜欢的数量),计算了平均参与度。我们检查了同一主题内的帖子和回复的情绪和情感内容,提供了对每个主题的情绪和情感分布的见解。特别注意识别在帖子和回复中表达的情绪,如恐惧。此外,还进行了语言分析和情绪和情绪随时间的分析。结果:从8家卫生机构的Instagram官方账号中共收集到6082条帖子和82982条评论。研究显示,与COVID-19、疫苗和人道主义危机(如乌克兰冲突和加沙战争)相关的话题参与度最高。我们对卫生组织帖子回复的情绪分析显示,与疫苗和猴痘相关的话题产生了最高比例的负面回复。恐惧是帖子文本中表达的主要情绪,而公众的反应则表现出更多不同的情绪,在围绕疫苗的讨论中,愤怒情绪尤其高涨。卫生组织发布的帖子中传达的恐惧程度与公众对这些帖子的回应中传达的恐惧程度存在差距,特别是在COVID-19期间佩戴口罩和接种流感疫苗方面。结论:这项研究强调了透明沟通的重要性,考虑到公众在社交媒体上的情绪和情绪驱动的反应,特别是关于疫苗的反应。了解与公众在线健康信息互动相关的心理和社会动态可以帮助卫生组织实现公共卫生目标,培养信任,打击错误信息,促进知情的健康行为。
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引用次数: 0
Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study. 自然语言处理和机器学习技术用于分析美国和法国关于营养酵母的对话:回顾性社交媒体听力研究。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-05-01 DOI: 10.2196/60528
Jean-François Jeanne, Joelle Malaab, Antoine Vanhove, Florian Mourey, Manissa Talmatkadi, Stéphane Schück

Background: Nutritional yeast, an inactive form of Saccharomyces cerevisiae, has recently become increasingly popular as a food supplement and healthy ingredient, especially among individuals following plant-based diets. It is valued for its health benefits and high content of B vitamins, minerals, and protein. Social media has enabled people to share information and personal experiences at an unprecedented level, further amplifying conversations around health and nutrition. With the rise of social media, data mining techniques like natural language processing and machine learning are increasingly used for analyzing the large amounts of information generated on these platforms.

Objective: This study aimed to analyze social media data from the United States and France to identify the most frequently discussed topics among nutritional yeast consumers. The objective was to fill gaps in our understanding of the perceptions, experiences, and usage trends related to nutritional yeast.

Methods: This study was retrospective, using social media data geolocated in the United States and France, posted by users discussing nutritional yeast between December 2017 and September 2023. Data cleaning and filtering were done using natural language processing methods and specific algorithms. Biterm topic modeling was applied to identify the most frequently discussed topics.

Results: A total of 36,642 posts written by 28,069 users discussing nutritional yeast were identified across 1039 publicly available online sources. This included 34,292 posts from the United States (26,154 users across 994 sources) and 2350 from France (n=1915 users across 45 sources). Twitter was the most commonly used platform in both countries, accounting for 39.6% of posts in the United States (13,587/34,292) and 84.3% in France (1982/2350). In the United States, conversations centered around the role of nutritional yeast role as a vegan nutrient source (n=12,345, 36.0%). Several users highlighted its culinary versatility as a natural seasoning (n=8093, 23.6%) and its health and skin benefits (n=6173, 18.0%). In France, discussions frequently focused on nutritional yeast's use in dietary supplement routines in various forms (n=1177, 50.1%), emphasizing its benefits alongside other supplements such as castor oil, particularly noted for effects on nails and hair (n=928, 39.5%).

Conclusions: This social media listening study identified the perceptions and preferences of nutritional yeast users in France and the United States. Researchers and health care professionals can reflect on these findings to investigate the potential health benefits of nutritional yeast for specific groups and its long-term impact on different diets and lifestyles. Marketers may also use this information to create customized strategies that better align with the preferences and needs of each market.

背景:营养酵母是酿酒酵母的一种非活性形式,近年来作为一种食品补充剂和健康成分越来越受欢迎,特别是在遵循植物性饮食的人群中。它对健康有益,富含B族维生素、矿物质和蛋白质。社交媒体使人们能够以前所未有的水平分享信息和个人经历,进一步扩大了围绕健康和营养的对话。随着社交媒体的兴起,自然语言处理和机器学习等数据挖掘技术越来越多地用于分析这些平台上生成的大量信息。目的:本研究旨在分析来自美国和法国的社交媒体数据,以确定营养酵母消费者最常讨论的话题。目的是填补空白,我们的认识,经验和使用趋势有关的营养酵母的理解。方法:本研究是回顾性的,使用了2017年12月至2023年9月期间用户讨论营养酵母发布的美国和法国社交媒体数据。使用自然语言处理方法和特定算法完成数据清理和过滤。采用双术语主题建模来确定最常讨论的主题。结果:在1039个公开的在线资源中,共有28,069名用户撰写了36,642篇讨论营养酵母的帖子。其中包括来自美国的34,292个帖子(来自994个来源的26,154个用户)和来自法国的2350个帖子(来自45个来源的n=1915个用户)。Twitter是两国最常用的平台,在美国(13587 / 34292)和法国(1982/2350)中分别占39.6%和84.3%。在美国,对话集中在营养酵母作为素食营养来源的作用上(n=12,345, 36.0%)。一些用户强调了它作为天然调味品的烹饪用途(n=8093, 23.6%)以及它对健康和皮肤的益处(n=6173, 18.0%)。在法国,讨论经常集中在营养酵母在各种形式的膳食补充剂中的使用(n=1177, 50.1%),强调其与其他补充剂(如蓖麻油)的好处,特别是对指甲和头发的影响(n=928, 39.5%)。结论:这项社交媒体倾听研究确定了法国和美国营养酵母用户的看法和偏好。研究人员和卫生保健专业人员可以根据这些发现来调查营养酵母对特定人群的潜在健康益处及其对不同饮食和生活方式的长期影响。营销人员也可以使用这些信息来创建定制策略,以更好地与每个市场的偏好和需求保持一致。
{"title":"Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study.","authors":"Jean-François Jeanne, Joelle Malaab, Antoine Vanhove, Florian Mourey, Manissa Talmatkadi, Stéphane Schück","doi":"10.2196/60528","DOIUrl":"https://doi.org/10.2196/60528","url":null,"abstract":"<p><strong>Background: </strong>Nutritional yeast, an inactive form of Saccharomyces cerevisiae, has recently become increasingly popular as a food supplement and healthy ingredient, especially among individuals following plant-based diets. It is valued for its health benefits and high content of B vitamins, minerals, and protein. Social media has enabled people to share information and personal experiences at an unprecedented level, further amplifying conversations around health and nutrition. With the rise of social media, data mining techniques like natural language processing and machine learning are increasingly used for analyzing the large amounts of information generated on these platforms.</p><p><strong>Objective: </strong>This study aimed to analyze social media data from the United States and France to identify the most frequently discussed topics among nutritional yeast consumers. The objective was to fill gaps in our understanding of the perceptions, experiences, and usage trends related to nutritional yeast.</p><p><strong>Methods: </strong>This study was retrospective, using social media data geolocated in the United States and France, posted by users discussing nutritional yeast between December 2017 and September 2023. Data cleaning and filtering were done using natural language processing methods and specific algorithms. Biterm topic modeling was applied to identify the most frequently discussed topics.</p><p><strong>Results: </strong>A total of 36,642 posts written by 28,069 users discussing nutritional yeast were identified across 1039 publicly available online sources. This included 34,292 posts from the United States (26,154 users across 994 sources) and 2350 from France (n=1915 users across 45 sources). Twitter was the most commonly used platform in both countries, accounting for 39.6% of posts in the United States (13,587/34,292) and 84.3% in France (1982/2350). In the United States, conversations centered around the role of nutritional yeast role as a vegan nutrient source (n=12,345, 36.0%). Several users highlighted its culinary versatility as a natural seasoning (n=8093, 23.6%) and its health and skin benefits (n=6173, 18.0%). In France, discussions frequently focused on nutritional yeast's use in dietary supplement routines in various forms (n=1177, 50.1%), emphasizing its benefits alongside other supplements such as castor oil, particularly noted for effects on nails and hair (n=928, 39.5%).</p><p><strong>Conclusions: </strong>This social media listening study identified the perceptions and preferences of nutritional yeast users in France and the United States. Researchers and health care professionals can reflect on these findings to investigate the potential health benefits of nutritional yeast for specific groups and its long-term impact on different diets and lifestyles. Marketers may also use this information to create customized strategies that better align with the preferences and needs of each market.</p>","PeriodicalId":73554,"journal":{"name":"JMIR infodemiology","volume":"5 ","pages":"e60528"},"PeriodicalIF":3.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12061346/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144029409","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
Evaluating the Content and Quality of Videos Related to Hypertrophic Scarring on TikTok in China: Cross-Sectional Study. 评估中国TikTok上与肥厚性瘢痕相关视频的内容和质量:横断面研究。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-04-29 DOI: 10.2196/64792
Jiangkun Wang, Kai Xu, Juanjuan Wu, Wen Liang, Weiming Qiu, Song Wang

Background: Hypertrophic scars (HTSs) are a predominant condition after burns and trauma, and it causes severe physiological and psychological problems. TikTok (Douyin in Chinese), a popular platform for sharing short videos, has shown the potential to spread health information, including information related to HTSs. Educating the public to obtain correct information is important to reduce the incidence of physiological and psychological problems caused by HTSs. However, the quality and reliability of HTS-related video content on TikTok in mainland China have not been thoroughly studied.

Objective: This study aims to evaluate the content and quality of short videos related to HTSs on the Chinese version of TikTok (Douyin) and explore the factors related to their quality, providing valuable insights for health information dissemination.

Methods: We collected a sample of 153 TikTok videos in Chinese related to HTSs and categorized them according to video source and content. We evaluated the video content using a coding schema, and a hexagonal radar schema was used to intuitively display the spotlight and weight of each aspect of the videos. We evaluated quality using 4 standardized tools: the modified DISCERN (mDISCERN) questionnaire, the Journal of the American Medical Association, the Global Quality Scale (GQS), and the Health on the Net Foundation Code of Conduct. We also explored the potential relationship between video quality and characteristics.

Results: The analysis showed that health care professionals uploaded all videos about treating HTSs, which matched the hexagonal radar model analysis findings. The quality assessment scores for the Journal of the American Medical Association, GQS, mDISCERN, and the Health on the Net Foundation Code of Conduct had median values of 1 (IQR 1-2), 2 (IQR 2-3), 2 (IQR 2-3), and 3 (IQR 3-4), respectively, indicating a need to improve the quality and reliability of videos on HTSs. In addition, high-quality videos were more popular, based on metrics such as likes, comments, favorites, and shares (P<.001). Interestingly, the time when the videos were uploaded positively correlated with GQS and mDISCERN scores (r=0.393; P<.001 and r=0.273; P<.001), while the video length did not significantly correlate with evaluation scores (P=.78, P=.20, P=.07, and P=.04).

Conclusions: The quality of TikTok videos related to HTSs is generally moderate. Users should exercise caution when seeking information on HTSs from TikTok. It is advisable to choose videos uploaded by health care professionals from the burn department and the burn plastic surgery department, and in the Chinese context, those produced in first-tier cities and emerging first-tier cities.

背景:增生性疤痕(hts)是烧伤和创伤后的主要症状,它会引起严重的生理和心理问题。抖音是一个流行的短视频分享平台,已经显示出传播健康信息的潜力,包括与HTSs相关的信息。教育公众获取正确的信息对于减少高温高温引起的生理和心理问题的发生率非常重要。然而,中国大陆TikTok上与hts相关的视频内容的质量和可靠性尚未得到彻底研究。目的:本研究旨在评估抖音中文版HTSs相关短视频的内容和质量,并探讨影响其质量的因素,为健康信息传播提供有价值的见解。方法:我们收集了153个与HTSs相关的中文TikTok视频样本,并根据视频来源和内容进行分类。我们使用编码模式对视频内容进行评估,并使用六角形雷达模式直观地显示视频各方面的焦点和权重。我们使用4种标准化工具评估质量:修改后的DISCERN (mDISCERN)问卷、美国医学会杂志、全球质量量表(GQS)和网络健康基金会行为准则。我们还探讨了视频质量和特征之间的潜在关系。结果:分析显示,医疗专业人员上传了所有治疗HTSs的视频,与六边形雷达模型分析结果相符。《美国医学会杂志》、GQS、mDISCERN和网络健康基金会行为准则的质量评估分数的中位数分别为1 (IQR 1-2)、2 (IQR 2-3)、2 (IQR 2-3)和3 (IQR 3-4),表明需要提高HTSs视频的质量和可靠性。此外,基于点赞、评论、收藏和分享等指标,高质量的视频更受欢迎(p结论:与https相关的TikTok视频的质量总体上是中等的。用户在从TikTok上查找http信息时应谨慎行事。建议选择烧伤科和烧伤整形科医护人员上传的视频,在中国背景下,选择一线城市和新兴一线城市制作的视频。
{"title":"Evaluating the Content and Quality of Videos Related to Hypertrophic Scarring on TikTok in China: Cross-Sectional Study.","authors":"Jiangkun Wang, Kai Xu, Juanjuan Wu, Wen Liang, Weiming Qiu, Song Wang","doi":"10.2196/64792","DOIUrl":"10.2196/64792","url":null,"abstract":"<p><strong>Background: </strong>Hypertrophic scars (HTSs) are a predominant condition after burns and trauma, and it causes severe physiological and psychological problems. TikTok (Douyin in Chinese), a popular platform for sharing short videos, has shown the potential to spread health information, including information related to HTSs. Educating the public to obtain correct information is important to reduce the incidence of physiological and psychological problems caused by HTSs. However, the quality and reliability of HTS-related video content on TikTok in mainland China have not been thoroughly studied.</p><p><strong>Objective: </strong>This study aims to evaluate the content and quality of short videos related to HTSs on the Chinese version of TikTok (Douyin) and explore the factors related to their quality, providing valuable insights for health information dissemination.</p><p><strong>Methods: </strong>We collected a sample of 153 TikTok videos in Chinese related to HTSs and categorized them according to video source and content. We evaluated the video content using a coding schema, and a hexagonal radar schema was used to intuitively display the spotlight and weight of each aspect of the videos. We evaluated quality using 4 standardized tools: the modified DISCERN (mDISCERN) questionnaire, the Journal of the American Medical Association, the Global Quality Scale (GQS), and the Health on the Net Foundation Code of Conduct. We also explored the potential relationship between video quality and characteristics.</p><p><strong>Results: </strong>The analysis showed that health care professionals uploaded all videos about treating HTSs, which matched the hexagonal radar model analysis findings. The quality assessment scores for the Journal of the American Medical Association, GQS, mDISCERN, and the Health on the Net Foundation Code of Conduct had median values of 1 (IQR 1-2), 2 (IQR 2-3), 2 (IQR 2-3), and 3 (IQR 3-4), respectively, indicating a need to improve the quality and reliability of videos on HTSs. In addition, high-quality videos were more popular, based on metrics such as likes, comments, favorites, and shares (P<.001). Interestingly, the time when the videos were uploaded positively correlated with GQS and mDISCERN scores (r=0.393; P<.001 and r=0.273; P<.001), while the video length did not significantly correlate with evaluation scores (P=.78, P=.20, P=.07, and P=.04).</p><p><strong>Conclusions: </strong>The quality of TikTok videos related to HTSs is generally moderate. Users should exercise caution when seeking information on HTSs from TikTok. It is advisable to choose videos uploaded by health care professionals from the burn department and the burn plastic surgery department, and in the Chinese context, those produced in first-tier cities and emerging first-tier cities.</p>","PeriodicalId":73554,"journal":{"name":"JMIR infodemiology","volume":"5 ","pages":"e64792"},"PeriodicalIF":3.5,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12076032/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143999864","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
#GenderAffirmingHormoneTherapy and Health Information on TikTok: Thematic Content Analysis. #性别肯定荷尔蒙疗法和抖音健康信息:主题内容分析。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-04-29 DOI: 10.2196/66845
Julia Rose Beatini, Nora Yanyi Sun, Julianna K Coleman, Maetal E Haas-Kogan, Andrea Pelletier, Deborah Bartz, Alex Sogomon Keuroghlian

Background: Transgender and gender diverse people often turn to online platforms for information and support regarding gender-affirming hormone therapy (GAHT); however, analysis of this social media content remains scarce.

Objective: We characterized GAHT-related videos on TikTok to highlight the implications relevant to GAHT prescribers.

Methods: We used a web scraper to identify TikTok videos posted under the hashtags #genderaffirminghormonetherapy and #genderaffirminghormones as of November 2023. We identified recurrent themes via qualitative content analysis and assessed health education videos with the Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-A/V) scale and a modified Currency, Relevance, Authority, Accuracy, and Purpose (CRAAP) test.

Results: Out of 69 videos extracted, 71% (49/69) were created by GAHT users, 24.6% (17/69) were created by health care workers, and 21.7% (15/69) were created to provide health education. Themes included physical changes on testosterone, GAHT access, and combating misinformation and stigma surrounding GAHT. Health education videos scored highly on PEMAT-A/V items assessing understandability (mean 88.3%, SD 11.3%) and lower on actionability (mean 60.0%, SD 45.8%). On the CRAAP test, videos scored highly on the relevance, authority, and purpose domains but lower on the currency and accuracy domains.

Conclusions: Discussions of GAHT on TikTok build community among transgender and gender diverse users, provide a platform for digital activism and resistance against legislation that limits GAHT access, and foster patient-provider dialogue. Educational videos are highly understandable and are created by reliable sources, but they vary in terms of currency and quality of supporting evidence, and they lack in actionability.

背景:变性人和性别多样化的人经常转向在线平台寻求关于性别确认激素治疗(GAHT)的信息和支持;然而,对这种社交媒体内容的分析仍然很少。目的:我们描述了TikTok上与GAHT相关的视频,以突出与GAHT处方者相关的影响。方法:我们使用网络刮板识别截至2023年11月在#性别肯定激素疗法和#性别肯定激素标签下发布的TikTok视频。我们通过定性内容分析确定了反复出现的主题,并使用患者教育材料视听材料评估工具(PEMAT-A/V)量表和改进的流通、相关性、权威、准确性和目的(CRAAP)测试评估健康教育视频。结果:在提取的69个视频中,71%(49/69)为GAHT用户制作,24.6%(17/69)为卫生工作者制作,21.7%(15/69)为健康教育制作。主题包括睾酮的生理变化,GAHT的获取,以及与围绕GAHT的错误信息和污名作斗争。健康教育视频在可理解性方面得分较高(平均88.3%,标准差11.3%),在可操作性方面得分较低(平均60.0%,标准差45.8%)。在CRAAP测试中,视频在相关性、权威性和目的性方面得分很高,但在实用性和准确性方面得分较低。结论:TikTok上关于GAHT的讨论建立了跨性别和性别多样化用户之间的社区,为数字激进主义和抵制限制GAHT获取的立法提供了一个平台,并促进了患者与提供者的对话。教育视频是非常容易理解的,并且是由可靠的来源创建的,但它们在货币和支持证据的质量方面各不相同,并且缺乏可操作性。
{"title":"#GenderAffirmingHormoneTherapy and Health Information on TikTok: Thematic Content Analysis.","authors":"Julia Rose Beatini, Nora Yanyi Sun, Julianna K Coleman, Maetal E Haas-Kogan, Andrea Pelletier, Deborah Bartz, Alex Sogomon Keuroghlian","doi":"10.2196/66845","DOIUrl":"https://doi.org/10.2196/66845","url":null,"abstract":"<p><strong>Background: </strong>Transgender and gender diverse people often turn to online platforms for information and support regarding gender-affirming hormone therapy (GAHT); however, analysis of this social media content remains scarce.</p><p><strong>Objective: </strong>We characterized GAHT-related videos on TikTok to highlight the implications relevant to GAHT prescribers.</p><p><strong>Methods: </strong>We used a web scraper to identify TikTok videos posted under the hashtags #genderaffirminghormonetherapy and #genderaffirminghormones as of November 2023. We identified recurrent themes via qualitative content analysis and assessed health education videos with the Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-A/V) scale and a modified Currency, Relevance, Authority, Accuracy, and Purpose (CRAAP) test.</p><p><strong>Results: </strong>Out of 69 videos extracted, 71% (49/69) were created by GAHT users, 24.6% (17/69) were created by health care workers, and 21.7% (15/69) were created to provide health education. Themes included physical changes on testosterone, GAHT access, and combating misinformation and stigma surrounding GAHT. Health education videos scored highly on PEMAT-A/V items assessing understandability (mean 88.3%, SD 11.3%) and lower on actionability (mean 60.0%, SD 45.8%). On the CRAAP test, videos scored highly on the relevance, authority, and purpose domains but lower on the currency and accuracy domains.</p><p><strong>Conclusions: </strong>Discussions of GAHT on TikTok build community among transgender and gender diverse users, provide a platform for digital activism and resistance against legislation that limits GAHT access, and foster patient-provider dialogue. Educational videos are highly understandable and are created by reliable sources, but they vary in terms of currency and quality of supporting evidence, and they lack in actionability.</p>","PeriodicalId":73554,"journal":{"name":"JMIR infodemiology","volume":"5 ","pages":"e66845"},"PeriodicalIF":3.5,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12054967/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058023","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
Large-Scale Deep Learning-Enabled Infodemiological Analysis of Substance Use Patterns on Social Media: Insights From the COVID-19 Pandemic. 社交媒体上物质使用模式的大规模深度学习信息流行病学分析:来自COVID-19大流行的见解。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-04-17 DOI: 10.2196/59076
Julina Maharjan, Jianfeng Zhu, Jennifer King, NhatHai Phan, Deric Kenne, Ruoming Jin
<p><strong>Background: </strong>The COVID-19 pandemic intensified the challenges associated with mental health and substance use (SU), with societal and economic upheavals leading to heightened stress and increased reliance on drugs as a coping mechanism. Centers for Disease Control and Prevention data from June 2020 showed that 13% of Americans used substances more frequently due to pandemic-related stress, accompanied by an 18% rise in drug overdoses early in the year. Simultaneously, a significant increase in social media engagement provided unique insights into these trends. Our study analyzed social media data from January 2019 to December 2021 to identify changes in SU patterns across the pandemic timeline, aiming to inform effective public health interventions.</p><p><strong>Objective: </strong>This study aims to analyze SU from large-scale social media data during the COVID-19 pandemic, including the prepandemic and postpandemic periods as baseline and consequence periods. The objective was to examine the patterns related to a broader spectrum of drug types with underlying themes, aiming to provide a more comprehensive understanding of SU trends during the COVID-19 pandemic.</p><p><strong>Methods: </strong>We leveraged a deep learning model, Robustly Optimized Bidirectional Encoder Representations from Transformers Pretraining Approach (RoBERTa), to analyze 1.13 billion Twitter (subsequently rebranded X) posts from January 2019 to December 2021, aiming to identify SU posts. The model's performance was enhanced by a human-in-the-loop strategy that subsequently enriched the annotated data used during the fine-tuning phase. To gain insights into SU trends over the study period, we applied a range of statistical techniques, including trend analysis, k-means clustering, topic modeling, and thematic analysis. In addition, we integrated the system into a real-time application designed for monitoring and preventing SU within specific geographic locations.</p><p><strong>Results: </strong>Our research identified 9 million SU posts in the studied period. Compared to 2019 and 2021, the most substantial display of SU-related posts occurred in 2020, with a sharp 21% increase within 3 days of the global COVID-19 pandemic declaration. Alcohol and cannabinoids remained the most discussed substances throughout the research period. The pandemic particularly influenced the rise in nonillicit substances, such as alcohol, prescription medication, and cannabinoids. In addition, thematic analysis highlighted COVID-19, mental health, and economic stress as the leading issues that contributed to the influx of substance-related posts during the study period.</p><p><strong>Conclusions: </strong>This study demonstrates the potential of leveraging social media data for real-time detection of SU trends during global crises. By uncovering how factors such as mental health and economic stress drive SU spikes, particularly in alcohol and prescription medication, we offer
背景:2019冠状病毒病大流行加剧了与精神卫生和物质使用(SU)相关的挑战,社会和经济动荡导致压力加剧,并增加了对药物作为应对机制的依赖。美国疾病控制和预防中心2020年6月的数据显示,由于与流行病有关的压力,13%的美国人更频繁地使用药物,同时今年年初药物过量的情况增加了18%。与此同时,社交媒体参与度的显著增加为这些趋势提供了独特的见解。我们的研究分析了2019年1月至2021年12月的社交媒体数据,以确定大流行期间SU模式的变化,旨在为有效的公共卫生干预措施提供信息。目的:本研究旨在从COVID-19大流行期间的大规模社交媒体数据中分析SU,包括流行前和流行后作为基线期和后果期。目的是研究与更广泛的具有潜在主题的药物类型相关的模式,旨在更全面地了解COVID-19大流行期间的SU趋势。方法:我们利用深度学习模型——来自变形金刚预训练方法的鲁棒优化双向编码器表示(RoBERTa),分析了2019年1月至2021年12月期间的11.3亿条Twitter(随后重新命名为X)帖子,旨在识别SU帖子。该模型的性能通过人在循环策略得到增强,该策略随后丰富了在微调阶段使用的注释数据。为了深入了解研究期间的SU趋势,我们应用了一系列统计技术,包括趋势分析、k-means聚类、主题建模和主题分析。此外,我们将该系统集成到一个实时应用程序中,用于监控和防止特定地理位置的SU。结果:我们的研究在研究期间发现了900万个SU职位。与2019年和2021年相比,su相关帖子最多的是2020年,在全球宣布新冠肺炎大流行后的3天内,su相关帖子大幅增加了21%。在整个研究期间,酒精和大麻素仍然是讨论最多的物质。大流行尤其影响了酒精、处方药和大麻素等非非法物质的增加。此外,专题分析强调,在研究期间,COVID-19、精神健康和经济压力是导致物质相关职位涌入的主要问题。结论:本研究证明了在全球危机期间利用社交媒体数据实时检测SU趋势的潜力。通过揭示心理健康和经济压力等因素如何驱动SU峰值,特别是在酒精和处方药方面,我们为公共卫生战略提供了重要见解。我们的方法为积极主动、数据驱动的干预措施铺平了道路,有助于减轻未来危机对弱势群体的影响。
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引用次数: 0
Exploring the Use of Social Media for Activism by Mexican Nongovernmental Organizations Using Posts From the 16 Days of Activism Against Gender-Based Violence Campaign: Thematic Content Analysis. 探讨墨西哥非政府组织利用社会媒体开展行动,利用反对性别暴力16天活动的帖子:主题内容分析。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-04-17 DOI: 10.2196/67368
Marian Marian, Ramona L Pérez, Elizabeth Reed, Samantha Hurst, Rebecka Lundgren, Amanda C McClain, Kathryn M Barker

Background: In the past decade, hashtag feminism has emerged in Mexico as a prevalent strategy to build social movements against gender-based violence (GBV). For example, during the global "16 Days of Activism Against GBV" campaign held between November 25 and December 10 each year, Mexico-based nongovernmental organizations (NGOs) turn to X (formerly known as Twitter) to share messages. Despite this prevalence, there is limited research on the type of information shared by these NGO activists on social media and the public's engagement with these messages.

Objective: This study aims to explore the themes covered by Mexican NGOs on X and examine what types of messages related to GBV potentially resonated more with the public.

Methods: We collated and reviewed posts (commonly known as tweets) published in Spanish on the platform X by Mexico-based NGOs between November 25 and December 10 of 2020, 2021, and 2022, a period when digital interactions increased during the COVID-19 pandemic. We then extracted posts using the following 4 hashtags: #16días, #16DiasdeActivismo, or #16DíasdeActivismo; #25N or #25Noviembre; #DiaNaranja or #DíaNaranja; and #PintaElMundoDeNaranja. We subsequently assessed the number of likes each post had and retained the top 200 posts from each year with the highest number of likes. We used the iterative content analysis process and the inductive 6-step qualitative thematic analysis method in NVivo software to code and analyze the final 600 posts.

Results: Five themes emerged from the 16 Days of Activism Against GBV campaigns, covering both knowledge-sharing and activism-generating messages as follows: (1) activism and how to be an activist, (2) types of GBV most commonly highlighted in posts, (3) changing public discourse surrounding GBV, (4) GBV as a violation of human rights, and (5) the COVID-19 pandemic's impact on GBV. Most of the messages on these posts exclusively mentioned women and younger girls, while a few included adolescents. Gaps in the representation of vulnerable populations were also found.

Conclusions: The posts from this campaign that were highly liked by the public reflect some of the most significant societal issues currently present in the country. Our results could help guide further GBV campaigns. Still, further research related to hashtag feminism by Mexico-based NGOs on GBV is needed to understand the population that NGOs reach and how the messages shared on these campaigns translate into activism on online and offline social media platforms.

背景:在过去十年中,标签女权主义在墨西哥兴起,成为建立反对性别暴力(GBV)社会运动的普遍策略。例如,在每年11月25日至12月10日举行的全球“反对性别暴力16天行动”活动期间,墨西哥的非政府组织(ngo)转向X(以前称为Twitter)分享信息。尽管如此,关于这些非政府组织活动人士在社交媒体上分享的信息类型以及公众对这些信息的参与程度的研究却很有限。目的:本研究旨在探讨墨西哥非政府组织在X上所涵盖的主题,并研究与性别暴力相关的哪些类型的信息可能更能引起公众的共鸣。方法:我们整理并审查了2020年、2021年和2022年11月25日至12月10日期间墨西哥非政府组织在X平台上发布的西班牙语帖子(通常称为推文),这段时间是2019冠状病毒病大流行期间数字互动增加的时期。然后,我们使用以下4个标签提取帖子:#16días, #16DiasdeActivismo或#16DíasdeActivismo;#25N或#25Noviembre;# diananja或#DíaNaranja;和# PintaElMundoDeNaranja。随后,我们评估了每个帖子的点赞数,并保留了每年点赞数最高的前200个帖子。我们使用NVivo软件中的迭代内容分析流程和归纳6步定性主题分析法对最终的600篇帖子进行编码和分析。结果:“反对性别暴力16天行动”活动产生了五个主题,涵盖了知识共享和行动主义产生的信息:(1)行动主义和如何成为一名活动家,(2)帖子中最常强调的性别暴力类型,(3)围绕性别暴力的公共话语变化,(4)侵犯人权的性别暴力,以及(5)COVID-19大流行对性别暴力的影响。这些帖子上的大多数信息专门提到妇女和年轻女孩,而少数包括青少年。还发现弱势群体的代表性存在差距。总结:这次活动的文章受到大众的高度赞,反映了这个国家目前最重要的社会问题。我们的研究结果可以帮助指导进一步的性别暴力活动。不过,需要进一步研究墨西哥非政府组织在性别暴力议题上的标签女权主义,以了解非政府组织所触及的人口,以及这些活动中分享的信息如何转化为线上和线下社交媒体平台上的行动。
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引用次数: 0
Evolutionary Trend of Dental Health Care Information on Chinese Social Media Platforms During 2018-2022: Retrospective Observational Study. 2018-2022年中国社交媒体平台口腔保健信息演变趋势:回顾性观察研究
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-04-10 DOI: 10.2196/55065
Zhiyu Zhu, Zhiyun Ye, Qian Wang, Ruomei Li, Hairui Li, Weiming Guo, Zhenxia Li, Lunguo Xia, Bing Fang

Background: Social media holds an increasingly significant position in contemporary society, wherein evolving public perspectives are mirrored by changing information. However, there remains a lack of comprehensive analysis regarding the nature and evolution of dental health care information on Chinese social media platforms (SMPs) despite extensive user engagement and voluminous content.

Objective: This study aimed to probe into the nature and evolution of dental health care information on Chinese SMPs from 2018 to 2022, providing valuable insights into the evolving digital public perception of dental health for dental practitioners, investigators, and educators.

Methods: This study was conducted on 3 major Chinese SMPs: Weibo, WeChat, and Zhihu. Data from March 1 to 31 in 2018, 2020, and 2022 were sampled to construct a social media original database (ODB), from which the most popular long-text posts (N=180) were selected to create an analysis database (ADB). Natural language processing (NLP) tools were used to assist tracking topic trends, and word frequencies were analyzed. The DISCERN health information quality assessment questionnaire was used for information quality evaluation.

Results: The number of Weibo posts in the ODB increased approximately fourfold during the observation period, with discussion of orthodontic topics showing the fastest growth, surpassing that of general dentistry after 2020. In the ADB, the engagement of content on Weibo and Zhihu also displayed an upward trend. The overall information quality of long-text posts on the 3 platforms was moderate or low. Of the long-text posts, 143 (79.4%) were written by nonprofessionals, and 105 (58.3%) shared personal medical experiences. On Weibo and WeChat, long-text posts authored by health care professionals had higher DISCERN scores (Weibo P=.04; WeChat P=.02), but there was a negative correlation between engagement and DISCERN scores (Weibo tau-b [τb]=-0.45, P=.01; WeChat τb=-0.30, P=.02).

Conclusions: There was a significant increase in the dissemination and evolution of public interest in dental health care information on Chinese social media during 2018-2022. However, the quality of the most popular long-text posts was rated as moderate or low, which may mislead patients and the public.

背景:社交媒体在当代社会中占有越来越重要的地位,信息的变化反映了公众观点的变化。然而,尽管中国社交媒体平台(SMPs)的用户参与广泛,内容丰富,但仍然缺乏对牙科保健信息的性质和演变的全面分析。目的:本研究旨在探讨2018年至2022年中国中小企业牙科保健信息的性质和演变,为牙科从业者、调查人员和教育工作者提供有关数字公众对牙科健康认知演变的宝贵见解。方法:本研究采用微博、微信、知乎3个主要的中国SMPs进行。选取2018年、2020年和2022年3月1日至31日的数据构建社交媒体原创数据库(ODB),从中选取最受欢迎的长文本帖子(N=180)创建分析数据库(ADB)。使用自然语言处理(NLP)工具辅助跟踪主题趋势,并分析词频。采用DISCERN健康信息质量评价问卷进行信息质量评价。结果:观察期内,ODB微博帖子数量增长约4倍,其中正畸话题讨论增长最快,2020年后超过普通牙科。在亚洲开发银行中,微博和知乎的内容参与度也呈现上升趋势。3个平台的长文帖子整体信息质量为中等或较低。在长文帖子中,143篇(79.4%)是非专业人士撰写的,105篇(58.3%)分享了个人医疗经历。在微博和微信上,卫生保健专业人员撰写的长文文章的DISCERN得分更高(微博P= 0.04;微信P=.02),但参与度与DISCERN得分呈负相关(微博τ -b [τb]=-0.45, P=.01;微信τb=-0.30, P= 0.02)。结论:2018-2022年中国社交媒体上公众对口腔保健信息的兴趣传播和演变显著增加。然而,最受欢迎的长文本帖子的质量被评为中等或低,这可能会误导患者和公众。
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引用次数: 0
Online Information About Side Effects and Safety Concerns of Semaglutide: Mixed Methods Study of YouTube Videos. 关于Semaglutide的副作用和安全性的在线信息:YouTube视频的混合方法研究。
IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2025-04-08 DOI: 10.2196/59767
Andy Wai Kan Yeung, Fabian Peter Hammerle, Sybille Behrens, Maima Matin, Michel-Edwar Mickael, Olena Litvinova, Emil D Parvanov, Maria Kletecka-Pulker, Atanas G Atanasov

Background: Social media has been extensively used by the public to seek information and share views on health issues. Recently, the proper and off-label use of semaglutide drugs for weight loss has attracted huge media attention and led to temporary supply shortages.

Objective: The aim of this study was to perform a content analysis on English YouTube (Google) videos related to semaglutide.

Methods: YouTube was searched with the words semaglutide, Ozempic, Wegovy, and Rybelsus. The first 30 full-length videos (videos without a time limit) and 30 shorts (videos that are no longer than 1 minute) resulting from each search word were recorded. After discounting duplicates resulting from multiple searches, a total of 96 full-length videos and 93 shorts were analyzed. Video content was evaluated by 3 tools, that is, a custom checklist, a Global Quality Score (GQS), and Modified DISCERN. Readability and sentiment of the transcripts were also assessed.

Results: There was no significant difference in the mean number of views between full-length videos and shorts (mean 288,563.1, SD 513,598.3 vs mean 188,465.2, SD 780,376.2, P=.30). The former had better content quality in terms of GQS, Modified DISCERN, and the number of mentioned points from the custom checklist (all P<.001). The transcript readability of both types of videos was at a fairly easy level and mainly had a neutral tone. Full-length videos from health sources had a higher content quality in terms of GQS and Modified DISCERN (both P<.001) than their counterparts.

Conclusions: The analyzed videos lacked coverage of several important aspects, including the lack of long-term data, the persistence of side effects due to the long half-life of semaglutide, and the risk of counterfeit drugs. It is crucial for the public to be aware that videos cannot replace consultations with physicians.

背景:社会媒体已被公众广泛用于寻求信息和分享对健康问题的看法。最近,西马鲁肽减肥药的正确和超说明书使用引起了媒体的广泛关注,并导致了暂时的供应短缺。目的:本研究的目的是对英语YouTube(谷歌)上与semaglutide相关的视频进行内容分析。方法:在YouTube上搜索semaglutide、Ozempic、Wegovy、Rybelsus等关键词。记录每个搜索词产生的前30个完整视频(没有时间限制的视频)和30个短片(不超过1分钟的视频)。在剔除多次搜索产生的重复内容后,共分析了96个完整视频和93个短片。视频内容通过3种工具进行评估,即自定义检查表、全球质量评分(GQS)和修改后的DISCERN。还评估了转录本的可读性和情感。结果:全长视频和短片的平均观看次数无显著差异(平均288,563.1次,SD 513,598.3次vs平均188,465.2次,SD 780,376.2次,P= 0.30)。前者在GQS、Modified DISCERN和自定义清单中提及点的数量(均为p)方面的内容质量更好。结论:所分析的视频缺乏对几个重要方面的覆盖,包括缺乏长期数据,由于semaglutide半衰期长导致副作用持续存在,以及假药风险。公众必须意识到,视频不能取代与医生的咨询。
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JMIR infodemiology
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