UNASSIGNED: The accuracy and reliability of health information disseminated through news is crucial, as it directly impacts both individual and societal health outcomes. This study aims to analyze the publication process of health content in Türkiye and its implications for public health. By examining the perspectives of various health communication stakeholders, the study seeks to identify existing issues and propose potential solutions.
UNASSIGNED: The research uses a mixed-methods approach, including baseline content analysis of 846 news by 133 criteria, quantitative research with 78 participants encompassing bureaucrats, academics, journalists, and health association members, and 15 in-depth interviews for comprehensive insights.
UNASSIGNED: The content analysis indicated that 23.2% of the analyzed news articles lacked credible sources, while 63% did not mention the author\'s name. A striking 96.2% of respondents stated that inaccurate health news poses a risk to public health, emphasizing the urgent need for standardized reporting practices. The majority (90.9%) pinpointed the media as the primary catalysts for infodemic spread, with 93.5% citing gatekeepers as barriers to accurate information. Eroding trust in media, fueled by unethical practices, harms both media credibility and effective public health interventions.
UNASSIGNED: The study underscores the necessity for a collaborative approach among public institutions, academia, and media, focusing on responsibility, regulation, and sanctions against the infodemic. The research advocates for a balanced approach that prioritizes health rights and press freedom within a stakeholder-driven framework, highlighting that legislation alone cannot fully enhance the digital information ecosystem.

BACKGROUND: Vaccine hesitancy is a growing global health threat that is increasingly studied through the monitoring and analysis of social media platforms. One understudied area is the impact of echo chambers and influential users on disseminating vaccine information in social networks. Assessing the temporal development of echo chambers and the influence of key users on their growth provides valuable insights into effective communication strategies to prevent increases in vaccine hesitancy. This also aligns with the World Health Organization\'s (WHO) infodemiology research agenda, which aims to propose new methods for social listening.
OBJECTIVE: Using data from a Taiwanese forum, this study aims to examine how engagement patterns of influential users, both within and across different COVID-19 stances, contribute to the formation of echo chambers over time.
METHODS: Data for this study come from a Taiwanese forum called PTT. All vaccine-related posts on the \"Gossiping\" subforum were scraped from January 2021 to December 2022 using the keyword \"vaccine.\" A multilayer network model was constructed to assess the existence of echo chambers. Each layer represents either provaccination, vaccine hesitant, or antivaccination posts based on specific criteria. Layer-level metrics, such as average diversity and Spearman rank correlations, were used to measure chambering. To understand the behavior of influential users-or key nodes-in the network, the activity of high-diversity and hardliner nodes was analyzed.
RESULTS: Overall, the provaccination and antivaccination layers are strongly polarized. This trend is temporal and becomes more apparent after November 2021. Diverse nodes primarily participate in discussions related to provaccination topics, both receiving comments and contributing to them. Interactions with the antivaccination layer are comparatively minimal, likely due to its smaller size, suggesting that the forum is a \"healthy community.\" Overall, diverse nodes exhibit cross-cutting engagement. By contrast, hardliners in the vaccine hesitant and antivaccination layers are more active in commenting within their own communities. This trend is temporal, showing an increase during the Omicron outbreak. Hardliner activity potentially reinforces their stances over time. Thus, there are opposing forces of chambering and cross-cutting.
CONCLUSIONS: Efforts should be made to moderate hardliner and influential nodes in the antivaccination layer and to support provaccination users engaged in cross-cutting exchanges. There are several limitations to this study. One is the bias of the platform used, and another is the lack of a comprehensive definition of \"influence.\" To address these issues, comparative studies across different platforms can be conducted, and various metrics of influence should be explored. Additionally, examining the impact of influential users on network structure and chambering through network simulations and regression analysis provides more robust insights. The study also lacks an explanation for the reasons behind chambering trends. Conducting content analysis can help to understand the nature of engagement and inform interventions to address echo chambers. These approaches align with and further the WHO infodemic research agenda.

UNASSIGNED: Healthcare-associated infections have a significant impact on public health, and many patients and their next-of-kin are seeking information on the internet. The study aimed to assess the quality of online written content about healthcare-associated infections available in English, Romanian, and Hungarian languages.
UNASSIGNED: The study sample included 75 websites, 25 for each language subgroup. The assessment involved examining the general characteristics, adherence to established credibility criteria, and the completeness and accuracy of informational content. The evaluation was conducted using a topic-specific, evidence-based benchmark. Two evaluators independently graded completeness and accuracy; scores were recorded on a scale from 0 to 10. A comparative analysis of websites was performed, considering pertinent characteristics, and potential factors influencing information quality were subjected to testing. The statistical significance was set at 0.05.
UNASSIGNED: For the overall study sample, the average credibility, completeness, and accuracy scores were 5.1 (SD 1.7), 2.4 (SD 1.5), and 5.9 (SD 1.0), respectively. Pairwise comparison tests revealed that English websites rated significantly higher than Romanian and Hungarian websites on all three quality measures (P<0.05). Website specialization, ownership, and main goal were not associated with credibility or content ratings. However, conventional medicine websites consistently scored higher than alternative medicine and other websites across all three information quality measures (P<0.05). Credibility scores were positively but weakly correlated with completeness (rho=0.273; P=0.0176) and accuracy scores (rho=0.365; P=0.0016).
UNASSIGNED: The overall quality ratings of information about healthcare-associated infections on English, Romanian, and Hungarian websites ranged from intermediate to low. The description of information regarding the symptoms and prevention of healthcare-associated infections was notably unsatisfactory. The study identified website characteristics possibly associated with higher-quality online sources about healthcare-associated infections, but additional research is needed to establish robust evidence.

UNASSIGNED: TikTok has increasingly become a source of information about reproductive health. Patients seeking health information about oral contraception on TikTok may be influenced by videos containing misinformation or biased information.
UNASSIGNED: This social media infodemiological study aims to provide a descriptive content analysis of the quality and reliability of oral contraceptive health information on TikTok.
UNASSIGNED: Researchers screened 1,000 TikTok videos from December 2022 to March 2023 retrieved under various search terms related to oral contraceptives. Data, including engagement metrics such as views, likes, comments, saves, and shares, were recorded. Video content including contraceptive methods discussed, efficacy, tolerability, and side effects were recorded. Two reviewers independently used a modified DISCERN criteria and Global Quality Scale (GQS) to assess the quality and reliability of information for each video.
UNASSIGNED: Five hundred seventy-four videos were analyzed after applying exclusion criteria. Videos had a median length of 27 seconds (Q1=13sec, Q3=57sec) and received a median of 35,000 total views (Q1=4856 views, Q3=411,400 views) and 166 views per day (Q1=28 views per day, Q3=2021 views per day). Video creators were 83.3% female and 58.7% white. The mean modified DISCERN score was 1.63 (SD=1.06) and the mean GQS score was 2.28 (SD=1.37). Video creators were 83.3% female and 58.7% white. The mean modified DISCERN score was 1.63 (SD=1.06) and the mean GQS score was 2.28 (SD=1.37). The most common topic discussed in the videos was the effects of contraception. Healthcare professionals had significantly higher DISCERN and GQS scores (p<.001) than non-healthcare professionals. However, they received fewer views, likes, and comments on their videos (p<.001). Healthcare professionals were 86 times more likely than non-healthcare professionals to post educational videos (p<.001). However, non-educational content received significantly more views, likes, and comments than educational content (p<.001).
UNASSIGNED: TikTok videos related to oral contraceptive health had low quality and reliability of information. The majority of videos were made by non-healthcare providers, and the most common topic discussed was the effects of contraception. Videos made by healthcare professionals contained more reliable contraceptive information, but received less engagement than videos made by non-healthcare professionals. Healthcare providers should consider the prevalence of poor-quality information about oral contraceptives on social media when counseling and educating patients about reproductive health.

The purpose of this observational study was to evaluate the potential epidemiological trend of arboviral diseases most reported in Italy by the dedicated national surveillance system (ISS data) compared to searches on the internet, assessing whether a correlation/association between users\' searches in Google and Wikipedia and real cases exists. The study considers a time interval from June 2012 to December 2023. We used the following Italian search terms: \"Virus Toscana\", \"Virus del Nilo occidentale\" (West Nile Virus in English), \"Encefalite trasmessa da zecche\" (Tick Borne encephalitis in English), and \"Dengue\". We overlapped Google Trends and Wikipedia data to perform a linear regression and correlation analysis. Statistical analyses were performed using Pearson\'s correlation coefficient (r) or Spearman\'s rank correlation coefficient (rho) as appropriate. All the correlations between the ISS data and Wikipedia or GT exhibited statistical significance. The correlations were strong for Dengue GT and ISS (rho = 0.71) and TBE GT and ISS (rho = 0.71), while the remaining correlations had values of r and rho between 0.32 and 0.67, showing a moderate temporal correlation. The observed correlations and regression models provide a foundation for future research, encouraging a more nuanced exploration of the dynamics between digital information-seeking behavior and disease prevalence.

BACKGROUND: Chronic pain is a highly prevalent medical condition that negatively impacts quality of life and is associated with considerable functional disability. Certain diseases, such as fibromyalgia, headache, paraplegia, neuropathy, and multiple sclerosis, manifest with chronic pain.
OBJECTIVE: The aim of this study is to examine the number and type of tweets (original or retweet) related to chronic pain, as well as to analyze the emotions and compare the societal impact of the diseases under study.
METHODS: We investigated tweets posted between January 1, 2018, and December 31, 2022, by Twitter users in English and Spanish, as well as the generated retweets. Additionally, emotions were extracted from these tweets and their diffusion was analyzed. Furthermore, the topics most frequently discussed by users were collected.
RESULTS: A total of 72,874 tweets were analyzed, including 44,467 in English and 28,407 in Spanish. Paraplegia represented 23.3% with 16,461 of the classified tweets, followed by headache and fibromyalgia with 15,337 (21.7%) and 15,179 (21.5%) tweets, respectively. Multiple sclerosis generated 14,781 tweets (21%), and the fewest tweets were related to neuropathy with 8,830 tweets (12.5%). The results showed that the primary emotions extracted were \"fear\" and \"sadness.\" Additionally, the reach and impact of these tweets were investigated through the generated retweets, with those related to headaches showing the highest interest and interaction among users.
CONCLUSIONS: Our results underscore the potential of leveraging social media for a better understanding of patients suffering from chronic pain and its impact on society. Among the most frequently encountered topics are those related to treatment, symptoms, or causes of the disease. Therefore, it is relevant to inform the patient to prevent misconceptions regarding their illness.

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.

BACKGROUND: Hashimoto thyroiditis (HT) is an autoimmune thyroid disease and the leading cause of hypothyroidism in areas with sufficient iodine intake. The quality-of-life impact and financial burden of hypothyroidism and HT highlight the need for additional research investigating the disease etiology with the aim of revealing potential modifiable risk factors.
OBJECTIVE: Implementation of measures against such risk factors, once identified, has the potential to lessen the financial burden while also improving the quality of life of many individuals. Therefore, we aimed to examine the potential seasonality of HT in Europe using the Google Trends data to explore whether there is a seasonal characteristic of Google searches regarding HT, examine the potential impact of the countries\' geographic location on the potential seasonality, and identify potential modifiable risk factors for HT, thereby inspiring future research on the topic.
METHODS: Monthly Google Trends data on the search topic \"Hashimoto thyroiditis\" were retrieved in a 17-year time frame from January 2004 to December 2020 for 36 European countries. A cosinor model analysis was conducted to evaluate potential seasonality. Simple linear regression was used to estimate the potential effect of latitude and longitude on seasonal amplitude and phase of the model outputs.
RESULTS: Of 36 included European countries, significant seasonality was observed in 30 (83%) countries. Most phase peaks occurred in spring (14/30, 46.7%) and winter (8/30, 26.7%). A statistically significant effect was observed regarding the effect of geographical latitude on cosinor model amplitude (y = -3.23 + 0.13 x; R2=0.29; P=.002). Seasonal increases in HT search volume may therefore be a consequence of an increased incidence or higher disease activity. It is particularly interesting that in most countries, a seasonal peak occurred in spring and winter months; when viewed in the context of the statistically significant impact of geographical latitude on seasonality amplitude, this may indicate the potential role of vitamin D levels in the seasonality of HT.
CONCLUSIONS: Significant seasonality of HT Google Trends search volume was observed in our study, with seasonal peaks in most countries occurring in spring and winter and with a significant impact of latitude on seasonality amplitude. Further studies on the topic of seasonality in HT and factors impacting it are required.

The exponential increase in internet use and the consequent surge in data generation present both opportunities and challenges for public health. Infodemiology, an emerging field at the intersection of information science and public health, seeks to harness the vast amounts of health-related data generated online for public health benefits. This paper provides a comprehensive overview of infodemiology, examining its development, methodologies, and potential to address public health challenges. We discuss the role of infodemiology in identifying and mitigating the spread of misinformation, especially in the context of the COVID-19 pandemic, which underscored the dangers of the \"infodemic\" - an overabundance of information, both accurate and not, that complicates public health responses. Through both demand and supply-based studies, infodemiology offers unique insights into health trends, misinformation dynamics, and the digital behaviors of health information seekers. Tools such as sentiment analysis are highlighted as essential in navigating the vast digital landscape for real-time health data analysis. Despite the potential of infodemiology, challenges such as data overload or misinformation. The paper concludes by emphasizing the importance of interdisciplinary collaboration, the development of advanced analytical tools, and the need for guidelines to maximize the field\'s impact on public health policy and practice.
Wykładniczy wzrost używania internetu oraz wynikający z tego wzrost ilości generowanych danych stwarza zarówno szanse, jak i wyzwania dla zdrowia publicznego. Infodemiologia, niedawno powstała dziedzina, pojawia się na przecięciu nauki związanych z informacją i zdrowia publicznego. Dąży do wykorzystania ogromnych ilości danych zdrowotnych generowanych w internecie na korzyść zdrowia publicznego. Niniejszy artykuł dostarcza kompleksowy przegląd infodemiologii, badając jej rozwój, metodologie oraz potencjał w adresowaniu wyzwań zdrowia publicznego. Omówiona zostaje rola infodemiologii w identyfikowaniu i zapobieganiu rozprzestrzeniania się dezinformacji, szczególnie w kontekście pandemii COVID-19, która podkreśliła niebezpieczeństwa \"infodemii\" - nadmiaru informacji, zarówno prawdziwych, jak i fałszywych, utrudniających działania zdrowia publicznego. Poprzez badania oparte na popycie i podaży, infodemiologia oferuje unikalną perspektywę na trendy w zdrowiu, dynamikę dezinformacji oraz cyfrowe zachowania osób szukających informacji zdrowotnych. Narzędzia takie jak analiza sentymentu są wskazane jako istotne dla analizy danych zdrowotnych w czasie rzeczywistym. Pomimo potencjału infodemiologii, omówione są wyzwania takie jak przeciążenie danymi, czy dezinformacja. Artykuł kończy się podkreśleniem znaczenia interdyscyplinarnej współpracy, rozwoju zaawansowanych narzędzi analitycznych oraz potrzeby wytycznych, aby maksymalizować wpływ tej dziedziny na politykę i praktykę zdrowia publicznego.

Skin whitening is a practice that is used to obtain lighter skin tone and is most prevalent in Africa and Asia. Substances used for this procedure, such as hydroquinone or mercury have a variety of side effects and are banned in several countries. This study examined the popularity of internet searches for terms related to skin whitening and bleaching creams with the use of GoogleTrends (GT). GT was searched globally for the topic \"skin whitening\" and two terms \"hydroquinone cream\" and \"mercury cream\" throughout a 10-year period (01.09.2013-31.08.2023). The popularity of searches increased during the analyzed period. The topic \"skin whitening\" was most popular in Sudan, Vietnam, and Sri Lanka. The searches were higher for \"hydroquinone cream\" than \"mercury cream\" in almost all countries, besides the Philippines and Indonesia. Our study confirms that skin whitening practices are popular, especially among populations with darker skin tone. Despite potentially toxic side effects, creams with hydroquinone and mercury are increasingly searched worldwide. Education about skin whitening and the usage of bleaching substances should be implemented, especially in the regions of Africa and Asia.