"Do not inject our babies": a social listening analysis of public opinion about authorizing pediatric COVID-19 vaccines.

Designing effective childhood vaccination counseling guidelines, public health campaigns, and school-entry mandates requires a nuanced understanding of the information ecology in which parents make vaccination decisions. However, evidence is lacking on how best to "catch the signal" about the public's attitudes, beliefs, and misperceptions. In this study, we characterize public sentiment and discourse about vaccinating children against SARS-CoV-2 with mRNA vaccines to identify prevalent concerns about the vaccine and to understand anti-vaccine rhetorical strategies. We applied computational topic modeling to 149 897 comments submitted to regulations.gov in October 2021 and February 2022 regarding the Food and Drug Administration's Vaccines and Related Biological Products Advisory Committee's emergency use authorization of the COVID-19 vaccines for children. We used a latent Dirichlet allocation topic modeling algorithm to generate topics and then used iterative thematic and discursive analysis to identify relevant domains, themes, and rhetorical strategies. Three domains emerged: (1) specific concerns about the COVID-19 vaccines; (2) foundational beliefs shaping vaccine attitudes; and (3) rhetorical strategies deployed in anti-vaccine arguments. Computational social listening approaches can contribute to misinformation surveillance and evidence-based guidelines for vaccine counseling and public health promotion campaigns.

HPV vaccine-related articles shared on Facebook from 2019 to 2021: Did COVID make a difference?

Objective: HPV vaccination is recommended for children beginning at age 9 to prevent several types of cancer. Many parents turn to Facebook for health information. This study describes changes in HPV vaccine-related articles shared on Facebook amidst the COVID-19 pandemic. Methods: HPV-related articles shared on Facebook (2019-2021) were collected using Buzzsumo, a social media analytics tool and analyzed using content analysis. Articles were categorized by valence, misinformation, evidence types, persuasive tactics, and framing. We quantified these data and tested for difference by article year. Results: Of the 138 included articles, 51% had positive valence towards the vaccine and 36% had negative valence. In 2021, there was a significant increase in positive messaging (72% vs. 44% in 2019/2020; p < 0.01) and misinformation decreased from 50% in 2019 to 24% in 2021 (p = 0.04). Persuasive strategies were more common in 2019 than in later years. Conclusion: Despite decreased engagement in 2021, more positive HPV vaccine messaging was observed, although a quarter of articles still contained misinformation. Our results can inform strategies for communicating with parents about the HPV vaccine. Innovation: Our study is the first to analyze HPV-related articles linked on Facebook and to assess for differences during the pandemic.

The negative impact of misinformation and vaccine conspiracy on COVID-19 vaccine uptake and attitudes among the general public in Iraq.

Background: Vaccine hesitancy is a major barrier to infectious disease control. Previous studies showed high rates of COVID-19 vaccine hesitancy in the Middle East. The current study aimed to investigate the attitudes towards COVID-19 vaccination and COVID-19 vaccine uptake among adult population in Iraq. Methods: This self-administered survey-based study was conducted in August-September 2022. The survey instrument assessed participants' demographics, attitudes to COVID-19 vaccination, beliefs in COVID-19 misinformation, vaccine conspiracy beliefs, and sources of information regarding the vaccine. Results: The study sample comprised a total of 2544 individuals, with the majority reporting the uptake of at least one dose of COVID-19 vaccination (n = 2226, 87.5 %). Positive attitudes towards COVID-19 vaccination were expressed by the majority of participants (n = 1966, 77.3 %), while neutral and negative attitudes were expressed by 345 (13.6 %) and 233 (9.2 %) participants, respectively. Factors associated with positive attitudes towards COVID-19 vaccination in multivariate analysis included disbelief in COVID-19 misinformation and disagreement with vaccine conspiracies. Higher COVID-19 vaccine uptake was significantly associated with previous history of COVID-19 infection, higher income, residence outside the Capital, disbelief in COVID-19 misinformation, disagreement with vaccine conspiracies, and reliance on reputable information sources. Conclusion: COVID-19 vaccine coverage was high among the participants, with a majority having positive attitudes towards COVID-19 vaccination. Disbelief in COVID-19 misinformation and disagreement with vaccine conspiracies were correlated with positive vaccine attitudes and higher vaccine uptake. These insights can inform targeted interventions to enhance vaccination campaigns.

Community notes increase trust in fact-checking on social media.

Community-based fact-checking is a promising approach to fact-check social media content at scale. However, an understanding of whether users trust community fact-checks is missing. Here, we presented n = 1,810 Americans with 36 misleading and nonmisleading social media posts and assessed their trust in different types of fact-checking interventions. Participants were randomly assigned to treatments where misleading content was either accompanied by simple (i.e. context-free) misinformation flags in different formats (expert flags or community flags), or by textual "community notes" explaining why the fact-checked post was misleading. Across both sides of the political spectrum, community notes were perceived as significantly more trustworthy than simple misinformation flags. Our results further suggest that the higher trustworthiness primarily stemmed from the context provided in community notes (i.e. fact-checking explanations) rather than generally higher trust towards community fact-checkers. Community notes also improved the identification of misleading posts. In sum, our work implies that context matters in fact-checking and that community notes might be an effective approach to mitigate trust issues with simple misinformation flags.

Cancer fatalism, social media informational awareness, and education.

OBJECTIVE: Understand if cancer fatalism among adult social media users in the United States is linked to social media informational awareness and if the relationship varies by education level. METHODS: Cross-sectional data from the 2022 Health Information National Trends Survey (n = 3,948) were analyzed using multivariable linear probability models. The study population was defined as social media users active within the past year. The outcome variable was cancer fatalism and the predictor variables were social media informational awareness and education level. RESULTS: Participants with low social media informational awareness were 9% (95% CI = 3, 15), 6% (95% CI = 1, 11), and 21% (95% CI = 14, 27) percentage points more likely to agree that it seems like everything causes cancer, you cannot lower your chances of getting cancer, and there are too many cancer prevention recommendations to follow, respectively. Participants with a college degree or higher level of education and who reported high social media informational awareness were the least likely to agree that everything causes cancer (60%; 95% CI = 54, 66), you cannot lower your chances of getting cancer (14%; 95% CI = 10, 19), and there are too many cancer prevention recommendations to follow (52%; 95% CI = 46, 59). CONCLUSION: Social media informational awareness was associated with lower levels of cancer fatalism among adult social media users. College graduates with high social media informational awareness were the least likely to report cancer fatalism.

Why metacognition matters in politically contested domains.

Emerging evidence highlights the importance of metacognition - the capacity for insight into the reliability and fallibility of our own knowledge and thought - in politically contested domains. The present synthesis elucidates why metacognition matters in politically charged contexts and its potential impact on how individuals form beliefs, process evidence, and make decisions.

Entertainment media as a source of relationship misinformation.

In this piece, we propose that entertainment media is an understudied source of misinformation and relationship science is an understudied domain of misinformation. We discuss two ways that relationship misinformation can appear in entertainment media - in the form of blatant claims and subtle content - and we provide an example of each from reality and entertainment television. We also propose an agenda for studying relationship misinformation and a set of questions to guide future research. We conclude by calling attention to the potential harms of such information on individuals and relationships.

Cancer misinformation on social media.

Social media is widely used globally by patients, families of patients, health professionals, scientists, and other stakeholders who seek and share information related to cancer. Despite many benefits of social media for cancer care and research, there is also a substantial risk of exposure to misinformation, or inaccurate information about cancer. Types of misinformation vary from inaccurate information about cancer risk factors or unproven treatment options to conspiracy theories and public relations articles or advertisements appearing as reliable medical content. Many characteristics of social media networks-such as their extensive use and the relative ease it allows to share information quickly-facilitate the spread of misinformation. Research shows that inaccurate and misleading health-related posts on social media often get more views and engagement (e.g., likes, shares) from users compared with accurate information. Exposure to misinformation can have downstream implications for health-related attitudes and behaviors. However, combatting misinformation is a complex process that requires engagement from media platforms, scientific and health experts, governmental organizations, and the general public. Cancer experts, for example, should actively combat misinformation in real time and should disseminate evidence-based content on social media. Health professionals should give information prescriptions to patients and families and support health literacy. Patients and families should vet the quality of cancer information before acting upon it (e.g., by using publicly available checklists) and seek recommended resources from health care providers and trusted organizations. Future multidisciplinary research is needed to identify optimal ways of building resilience and combating misinformation across social media.

Troubling Trends in Health Misinformation Related to Gender-Affirming Care.

Amidst the misinformation climate about trans people and their health care that dominates policy and social discourse, autonomy-based rationales for gender-affirming care for trans and nonbinary youth are being called into question. In this commentary, which responds to "What Is the Aim of Pediatric 'Gender-Affirming' Care?," by Moti Gorin, we contextualize the virulent ideas circulating in misinformation campaigns that have become weaponized for unprecedented legal interference into standard health care. We conclude that the current legal justifications for upending gender-affirming care gloss over how this health care field meets conventional evidentiary standards and aligns protocols with most other fields of medicine. Refusal to offer gender-affirming care is more harmful than centralizing trans and nonbinary people's health autonomy.

Neural mechanisms of the continued influence effect of misinformation: Analysis based on fMRI causal connectivity.

The continued influence effect of misinformation (CIEM) can negatively affect individuals' reasoning and judgment processes. This research aims to enhance the correction of misinformation and foster rational judgement by investigating the internal brain mechanisms involved in the processing of the CIEM through the use of task-based functional magnetic resonance imaging combined with Granger causality analysis. Our findings demonstrate notable effective interactions in varying directions between the left inferior frontal gyrus and middle temporal gyrus during the encoding phase, and between the right anterior cingulate gyrus and left inferior occipital gyrus in the retrieval phase. These insights elucidate the roles of mental model updating and retrieval failure in the processing of CIEM, offering more granular evidence to support the differentiation in processing phases.

An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach.

BACKGROUND: Amidst the COVID-19 pandemic, misinformation on social media has posed significant threats to public health. Detecting and predicting the spread of misinformation are crucial for mitigating its adverse effects. However, prevailing frameworks for these tasks have predominantly focused on post-level signals of misinformation, neglecting features of the broader information environment where misinformation originates and proliferates. OBJECTIVE: This study aims to create a novel framework that integrates the uncertainty of the information environment into misinformation features, with the goal of enhancing the model's accuracy in tasks such as misinformation detection and predicting the scale of dissemination. The objective is to provide better support for online governance efforts during health crises. METHODS: In this study, we embraced uncertainty features within the information environment and introduced a novel Environmental Uncertainty Perception (EUP) framework for the detection of misinformation and the prediction of its spread on social media. The framework encompasses uncertainty at 4 scales of the information environment: physical environment, macro-media environment, micro-communicative environment, and message framing. We assessed the effectiveness of the EUP using real-world COVID-19 misinformation data sets. RESULTS: The experimental results demonstrated that the EUP alone achieved notably good performance, with detection accuracy at 0.753 and prediction accuracy at 0.71. These results were comparable to state-of-the-art baseline models such as bidirectional long short-term memory (BiLSTM; detection accuracy 0.733 and prediction accuracy 0.707) and bidirectional encoder representations from transformers (BERT; detection accuracy 0.755 and prediction accuracy 0.728). Additionally, when the baseline models collaborated with the EUP, they exhibited improved accuracy by an average of 1.98% for the misinformation detection and 2.4% for spread-prediction tasks. On unbalanced data sets, the EUP yielded relative improvements of 21.5% and 5.7% in macro-F1-score and area under the curve, respectively. CONCLUSIONS: This study makes a significant contribution to the literature by recognizing uncertainty features within information environments as a crucial factor for improving misinformation detection and spread-prediction algorithms during the pandemic. The research elaborates on the complexities of uncertain information environments for misinformation across 4 distinct scales, including the physical environment, macro-media environment, micro-communicative environment, and message framing. The findings underscore the effectiveness of incorporating uncertainty into misinformation detection and spread prediction, providing an interdisciplinary and easily implementable framework for the field.

Understanding cybercrime's impact on women's physical and psychological well-being.

This study examines how cybercrimes impact women's well-being in digital spaces, focusing on online harassment, cyberbullying, misinformation, and non-consensual exposure to explicit content. Survey data from 200 respondents show concerning trends: 102 experienced online harassment, 63 encountered false health information, 47 were approached to sexting, and 28 were exposed to pornography without consent. Qualitative insights highlight emotional distress. Urgent actions include awareness-raising, education, and tailored support networks. These findings underscore the need to combat cybercrimes and empower women online.

Cette étude examine comment les cybercrimes affectent le bien-être des femmes dans les espaces numériques, en se concentrant sur le harcèlement en ligne, la cyberintimidation, la désinformation et l'exposition non consentie à du contenu explicite. Les données d'une enquête auprès de 200 répondants montrent des tendances préoccupantes: 102 ont subi du harcèlement en ligne, 63 ont rencontré de fausses informations sur la santé, 47 ont été sollicitées pour du sexting et 28 ont été exposées à de la pornographie sans consentement. Les perspectives qualitatives soulignent la détresse émotionnelle. Des actions urgentes incluent la sensibilisation, l'éducation et des réseaux de soutien adaptés. Ces résultats soulignent la nécessité de lutter contre les cybercrimes et d'autonomiser les femmes en ligne.

TikTok misinformation and user engagement in female pelvic floor conditions.

IMPORTANCE: Social media platforms are increasingly utilized to distribute medical information. Our study emphasizes the need for accuracy in pelvic health education on social media and the involvement of female pelvic floor (FPF) specialists in content creation. AIMS: In this cross-sectional study, we assessed the FPF TikTok videos with the highest engagement for quality of information and misinformation and investigated the relationship between misinformation and user engagement. METHODS: We collected all TikTok videos on the US app with hashtags related to FPF conditions, including 76 on pelvic organ prolapse, 323 on urinary tract infection, 84 on overactive bladder, and 972 on incontinence. The top 20 videos for each FPF condition were selected based on highest engagement, and 74 videos total met inclusion criteria. TikTok videos were scored with the validated DISCERN instrument for quality of consumer health information and a 5-point Likert scale for misinformation. The correlation between misinformation and user engagement was assessed. RESULTS: Our analysis revealed positive correlations among higher average misinformation scores and shares (r = 0.37, p < 0.001), likes (r = 0.23, p = 0.004), and overall engagement (r = 0.25, p = 0.002) in FPF TikTok videos as a group, likely driven by the #UTI category. Most TikTok videos (96%) had poor quality of information (DISCERN score < 3), and 18% of TikTok videos contained misinformation. CONCLUSION: The poor quality and prevalence of misinformation in FPF-related TikTok videos with the highest engagement raise concerns about the propagation of nonevidence-based health information.

Online Health Search Via Multidimensional Information Quality Assessment Based on Deep Language Models: Algorithm Development and Validation.

BACKGROUND: Widespread misinformation in web resources can lead to serious implications for individuals seeking health advice. Despite that, information retrieval models are often focused only on the query-document relevance dimension to rank results. OBJECTIVE: We investigate a multidimensional information quality retrieval model based on deep learning to enhance the effectiveness of online health care information search results. METHODS: In this study, we simulated online health information search scenarios with a topic set of 32 different health-related inquiries and a corpus containing 1 billion web documents from the April 2019 snapshot of Common Crawl. Using state-of-the-art pretrained language models, we assessed the quality of the retrieved documents according to their usefulness, supportiveness, and credibility dimensions for a given search query on 6030 human-annotated, query-document pairs. We evaluated this approach using transfer learning and more specific domain adaptation techniques. RESULTS: In the transfer learning setting, the usefulness model provided the largest distinction between help- and harm-compatible documents, with a difference of +5.6%, leading to a majority of helpful documents in the top 10 retrieved. The supportiveness model achieved the best harm compatibility (+2.4%), while the combination of usefulness, supportiveness, and credibility models achieved the largest distinction between help- and harm-compatibility on helpful topics (+16.9%). In the domain adaptation setting, the linear combination of different models showed robust performance, with help-harm compatibility above +4.4% for all dimensions and going as high as +6.8%. CONCLUSIONS: These results suggest that integrating automatic ranking models created for specific information quality dimensions can increase the effectiveness of health-related information retrieval. Thus, our approach could be used to enhance searches made by individuals seeking online health information.

A Pandemic of Misinformation: Understanding Influences on Beliefs in Health and Conspiracy Myths.

BACKGROUND: Personal characteristics may be associated with believing misinformation and not believing in best practices to protect oneself from COVID-19. OBJECTIVE: To examine the associations of a person's age, race/ethnicity, education, residence, health literacy, medical mistrust level, and sources of health-related information with their COVID-19 health and conspiracy myth beliefs. DESIGN: We surveyed adults with hypertension in Maryland and Pennsylvania between August 2020 and March 2021. Incorrect responses were summed for eight health (mean = 0.68; range 0-5) and two conspiracy (mean = 0.92; range 0-2) COVID-19 questions. Higher scores indicated more incorrect responses. Statistical analyses included two-sample t-tests, Spearman's correlation, and log binomial regression. PARTICIPANTS: In total, 561 primary care patients (mean age = 62.3 years, 60.2% female, 46.0% Black, 10.2% Hispanic, 28.2% with a Bachelor's degree or higher, 42.8% with annual household income less than $60,000) with a diagnosis of hypertension and at least one of five commonly associated conditions. MAIN MEASURES: Sociodemographic characteristics, health literacy, medical mistrust level, source of health-related information, and COVID-19 conspiracy and health myth beliefs. KEY RESULTS: In multivariable analyses, participants who did not get information from medical professional sources (prevalence ratio (PR) = 1.28; 95% CI = 1.06-1.55), had less than a bachelor's degree (PR = 1.49; 95% CI = 1.12-1.99), were less confident filling out medical forms (PR = 1.24; 95% CI = 1.02-1.50), and had higher medical mistrust (PR = 1.34; 95% CI = 1.05-1.69) were more likely to believe any health myths. Participants who had less than a bachelor's degree (PR = 1.22; 95% CI = 1.02-1.45), were less confident filling out medical forms (PR = 1.21; 95% CI = 1.09-1.34), and had higher medical mistrust (PR = 1.72; 95% CI = 1.43-2.06) were more likely to believe any conspiracy myths. CONCLUSIONS: Lower educational attainment and health literacy, greater medical mistrust, and certain sources of health information are associated with misinformed COVID-19 beliefs. Programs addressing misinformation should focus on groups affected by these social determinants of health by encouraging reliance on scientific sources.

Impact of a patient-centered tool to reduce misconceptions about coronary artery disease and its treatment: The CAD roadmap.

Objective: Health misinformation is common and can lead to harmful behaviors such as medication non-adherence. We assessed the impact of a novel patient educational tool focused on overcoming misconceptions among patients with coronary artery disease (CAD). Methods: We developed the CAD Roadmap, an educational tool aimed at explaining the disease trajectory and overcoming common disease misconceptions (such as that statin medications are not beneficial). We designed a pilot survey to assess patients' 1) CAD-related knowledge, 2) medication-taking behavior, and 3) acceptability of the Roadmap. Survey participants were recruited online. CAD knowledge scores were compared with repeated measures t-tests. Results: Among 114 patients with CAD (mean age 67 years, 63% male), average CAD-related knowledge was 79.0% pre-test and 89.7% after review of the CAD Roadmap (p < .001). After review of the Roadmap, 24% indicated they planned to take their medications more regularly, 93% agreed it was helpful in understanding medication benefits, and 77% felt more empowered to participate in medical decisions. Conclusion: The CAD Roadmap was evaluated positively, improved disease-related knowledge, and has the potential to improve adherence to treatments. Innovation: Unlike many other interventions, the CAD Roadmap is specifically designed to overcome common misconceptions to improve health behaviors.

Experiences of Governments and Public Health Agencies Regarding Crisis Communication During the COVID-19 Pandemic in the Digital Age: Protocol for a Systematic Review of Qualitative Studies.

BACKGROUND: Governments and public health agencies worldwide experienced difficulties with social media-mediated infodemics on the internet during the COVID-19 pandemic. Existing public health crisis communication strategies need to be updated. However, crisis communication experiences of governments and public health agencies worldwide during the COVID-19 pandemic have not been systematically compiled, necessitating updated crisis communication strategies. OBJECTIVE: This systematic review aims to collect and organize the crisis communication experiences of senders (ie, governments and public health agencies) during the COVID-19 pandemic. Our focus is on exploring the difficulties that governments and public health agencies experienced, best practices in crisis communication by governments and public health agencies during the COVID-19 pandemic in times of infodemic, and challenges that should be overcome in future public health crises. METHODS: We plan to begin the literature search on May 1, 2024. We will search PubMed, MEDLINE, CINAHL, PsycINFO, PsycARTICLES, Communication Abstracts, and Web of Science. We will filter our database searches to search from the year 2020 and beyond. We will use a combination of keywords by referring to the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, and Research type) tool to search the abstracts in databases. We intend to include qualitative studies on crisis communication by governments and public health agencies (eg, officials, staff, health professionals, and researchers) to the public. Quantitative data-based studies will be excluded. Only papers written in English will be included. Data on study characteristics, study aim, participant characteristics, methodology, theoretical framework, object of crisis communication, and key results will be extracted. The methodological quality of eligible studies will be assessed using the Joanna Briggs Institute critical appraisal checklist for qualitative research. A total of 2 independent reviewers will share responsibility for screening publications, data extraction, and quality assessment. Disagreement will be resolved through discussion, and the third reviewer will be consulted, if necessary. The findings will be summarized in a table and a conceptual diagram and synthesized in a descriptive and narrative review. RESULTS: The results will be systematically integrated and presented in a way that corresponds to our research objectives and interests. We expect the results of this review to be submitted for publication by the end of 2024. CONCLUSIONS: To our knowledge, this will be the first systematic review of the experiences of governments and public health agencies regarding their crisis communication to the public during the COVID-19 pandemic. This review will contribute to the future improvement of the guidelines for crisis communication by governments and public health agencies to the public. TRIAL REGISTRATION: PROSPERO CRD42024528975; https://tinyurl.com/4fjmd8te. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/58040.

Misinformation surrounding sodium reduction for blood pressure: content analysis of Japanese posts on X.

This content analysis aimed to assess misinformation themes regarding sodium reduction and blood pressure on X with the goal of providing strategies to address and debunk such misinformation. A total of 531 posts were manually coded into sodium-related misinformation themes, with inclusion criteria for posts asserting no association between sodium reduction and hypertension or claiming consuming sodium is beneficial for health. Numbers and post frequencies per misinformation theme were calculated. Post characteristics, including information sources, advertisements and narratives, were coded, and a correlation analysis was conducted to assess their association with each misinformation theme. Fourteen sodium-related misinformation themes were identified and consistently disseminated on X. The predominant theme, 'Natural Salt', accounted for 37.7% (n = 200), reaching 1.6 million followers, followed by 'Reducing salt could be bad for my health' theme, comprising 28.6% (n = 152) and reaching 1.5 million followers. There was a statistical correlation between the natural salt misinformation theme and advertisements. Many of the most frequent misinformation themes identified in this study have not been systematically debunked by organizations such as the World Health Organization and the American Heart Association. This study underscores the importance of continuous monitoring and analysis of sodium-related misinformation on social media platforms and their underlying commercial interests. Such monitoring has the potential to identify prevalent misinformation themes that may pose harm to the public and to inform public health organizations, enabling them to proactively address potential issues through debunking.

PatientsLikeMe and Online Patient Support Communities in Dermatology.

Online patient-oriented platforms such as PatientsLikeMe (PLM) offer a venue for individuals with various diagnoses to share experiences and build community, though they may not be representative of the larger patient population. This potentially limits generalizability and raises concerns about the spread of misinformation, emphasizing the need for informed use and health care provider engagement.

Mediterranean Diet Information on TikTok and Implications for Digital Health Promotion Research: Social Media Content Analysis.

BACKGROUND: The Mediterranean diet has been linked to reduced risk for several cardiometabolic diseases. The lack of a clear definition of the Mediterranean diet in the scientific literature and the documented proliferation of nutrition misinformation on the internet suggest the potential for confusion among consumers seeking web-based Mediterranean diet information. OBJECTIVE: We conducted a social media content analysis of information about the Mediterranean diet on the influential social media platform, TikTok, to examine public discourse about the diet and identify potential areas of misinformation. We then analyzed these findings in the context of health promotion to identify potential challenges and opportunities for the use of TikTok in promoting the Mediterranean diet for healthy living. METHODS: The first-appearing 202 TikTok posts that resulted from a search of the hashtag #mediterraneandiet were downloaded and qualitatively examined. Post features and characteristics, poster information, and engagement metrics were extracted and synthesized across posts. Posts were categorized as those created by health professionals and those created by nonhealth professionals based on poster-reported credentials. In addition to descriptive statistics of the entire sample, we compared posts created by professionals and nonprofessionals for content using chi-square tests. RESULTS: TikTok posts varied in content, but posts that were developed by health professionals versus nonprofessionals were more likely to offer a definition of the Mediterranean diet (16/106, 15.1% vs 2/96, 2.1%; P=.001), use scientific citations to support claims (26/106, 24.5% vs 0/96, 0%; P<.001), and discuss specific nutrients (33/106, 31.1% vs 6/96, 6.3%; P<.001) and diseases related to the diet (27/106, 25.5% vs 5/96, 5.2%; P<.001) compared to posts created by nonhealth professionals. CONCLUSIONS: Social media holds promise as a venue to promote the Mediterranean diet, but the variability in information found in this study highlights the need to create clear definitions about the diet and its components when developing Mediterranean diet interventions that use new media structures.