Is YouTube a sufficient source of information on Sarcoidosis?

BACKGROUND: The internet is a common source of health information for patients and caregivers. To date, content and information quality of YouTube videos on sarcoidosis has not been studied. The aim of our study was to investigate the content and quality of information on sarcoidosis provided by YouTube videos. METHODS: Of the first 200 results under the search term "sarcoidosis," all English-language videos with content directed at patients were included. Two independent investigators assessed the content of the videos based on 25 predefined key features (content score with 0-25 points), as well as reliability and quality (HONCode score with 0-8 points, DISCERN score with 1-5 points). Misinformation contained in the videos was described qualitatively. RESULTS: The majority of the 85 included videos were from an academic or governmental source (n = 63, 74%), and median time since upload was 33 months (IQR 10-55). Median video duration was 8 min (IQR 3-13) and had a median of 2,044 views (IQR 504 - 13,203). Quality assessment suggested partially sufficient information: mean HONCode score was 4.4 (SD 0.9) with 91% of videos having a medium quality HONCode evaluation. Mean DISCERN score was 2.3 (SD 0.5). Video content was generally poor with a mean of 10.5 points (SD 0.6). Frequently absent key features included information on the course of disease (6%), presence of substantial geographical variation (7%), and importance of screening for extrapulmonary manifestations (11%). HONCode scores were higher in videos from academic or governmental sources (p = 0.003), particularly regarding "transparency of sponsorship" (p < 0.001). DISCERN and content scores did not differ by video category. CONCLUSIONS: Most YouTube videos present incomplete information reflected in a poor content score, especially regarding screening for extrapulmonary manifestations. Quality was partially sufficient with higher scores in videos from academic or governmental sources, but often missing references and citing specific evidence. Improving patient access to trustworthy and up to date information is needed.

An improved deep convolutional neural network-based YouTube video classification using textual features.

Video content on the web platform has increased explosively during the past decade, thanks to the open access to Facebook, YouTube, etc. YouTube is the second-largest social media platform nowadays containing more than 37 million YouTube channels. YouTube revealed at a recent press event that 30,000 new content videos per hour and 720,000 per day are posted. There is a need for an advanced deep learning-based approach to categorize the huge database of YouTube videos. This study aims to develop an artificial intelligence-based approach to categorize YouTube videos. This study analyzes the textual information related to videos like titles, descriptions, user tags, etc. using YouTube exploratory data analysis (YEDA) and shows that such information can be potentially used to categorize videos. A deep convolutional neural network (DCNN) is designed to categorize YouTube videos with efficiency and high accuracy. In addition, recurrent neural network (RNN), and gated recurrent unit (GRU) are also employed for performance comparison. Moreover, logistic regression, support vector machines, decision trees, and random forest models are also used. A large dataset with 9 classes is used for experiments. Experimental findings indicate that the proposed DCNN achieves the highest receiver operating characteristics (ROC) area under the curve (AUC) score of 99% in the context of YouTube video categorization and 96% accuracy which is better than existing approaches. The proposed approach can be used to help YouTube users suggest relevant videos and sort them by video category.

Diverticulosis and Diverticulitis on YouTube: Is Popular Information the Most Reliable?

Background Patients utilize online health information to inform their medical decision-making. YouTube is one of the most popular media platforms with abundant health-related resources, yet the quality of the disseminated information remains unclear. This study aims to evaluate the quality and reliability of content pertaining to diverticulosis and diverticulitis on YouTube. Methods One author queried the terms "diverticulosis," "diverticulitis," "acute diverticulitis," and "chronic diverticulitis" on YouTube. The first 50 videos per search were selected for analysis. Duplicates, non-English videos, or procedural content were excluded. Video characteristics including view count, likes, comments, duration, days since upload, view ratio, video power index, and video sources (professional organizations (POs), health information websites (HIWs), and entertainment/independent users (EIUs)) were collected. Videos were scored using the mDISCERN and Global Quality Score (GQS). Results Sixty-four videos were included. DISCERN scores significantly differed between POs (n=20, mean=4.35), HIWs (n=29, mean=2.97), and EIUs (n=15, mean=1.83). GQS also significantly differed between POs (n=20, mean=4.47), HIWs (n=29, mean=3.62), and EIUs (n=15, mean=2.5). Video characteristics significantly differed between groups, with most user engagement seen in EIUs. Conclusion POs and HIWs disseminate higher quality health information about diverticular disease on YouTube. The higher viewer engagement with EIUs is concerning, as these sources were found to have lower quality content. Although YouTube has the capability to provide valuable information on diverticulosis and diverticulitis, enhanced content screening is needed to ensure accuracy and validation.

Automatic Identification of Hate Speech - A Case-Study of alt-Right YouTube Videos.

Background: Identifying hate speech (HS) is a central concern within online contexts. Current methods are insufficient for efficient preemptive HS identification. In this study, we present the results of an analysis of automatic HS identification applied to popular alt-right YouTube videos. Methods: This essay describes methodological challenges of automatic HS detection. The case study concerns data on a formative segment of contemporary radical right discourse. Our purpose is twofold. (1) To outline an interdisciplinary mixed-methods approach for using automated identification of HS. This bridges the gap between technical research on the one hand (such as machine learning, deep learning, and natural language processing, NLP) and traditional empirical research on the other. Regarding alt-right discourse and HS, we ask: (2) What are the challenges in identifying HS in popular alt-right YouTube videos? Results: The results indicate that effective and consistent identification of HS communication necessitates qualitative interventions to avoid arbitrary or misleading applications. Binary approaches of hate/non-hate speech tend to force the rationale for designating content as HS. A context-sensitive qualitative approach can remedy this by bringing into focus the indirect character of these communications. The results should interest researchers within social sciences and the humanities adopting automatic sentiment analysis and for those analysing HS and radical right discourse. Conclusions: Automatic identification or moderation of HS cannot account for an evolving context of indirect signification. This study exemplifies a process whereby automatic hate speech identification could be utilised effectively. Several methodological steps are needed for a useful outcome, with both technical quantitative processing and qualitative analysis being vital to achieve meaningful results. With regard to the alt-right YouTube material, the main challenge is indirect framing. Identification demands orientation in the broader discursive context and the adaptation towards indirect expressions renders moderation and suppression ethically and legally precarious.

YouTube as a source of recognizing acute stroke; progress in 2 years.

BACKGROUND: YouTube™ has a great role in providing information, which includes educational videos, to more than 2 billion users, making it the second most popular application in the world. BE-FAST is a modified version of the FAST mnemonic and is used to detect acute ischemic stroke by the patients or their relatives. The purpose of this study is to assess the overall usefulness of the information of YouTube in patients to realize an acute stroke attack. METHODS: YouTube was searched for the following five terms: "stroke", ''stroke diagnosis", "stroke signs", "brain attack" and "what is stroke" in November 2021 and May 2023, separately. Two independent neurology specialists scored each video by using Global Quality Scale (GQS). RESULTS: Among the total of 150 videos, the number that met inclusion criteria was 91 for the November 2021 search and 104 for the May 2023 search. For the 2021 search, in 30 videos (33%), the FAST mnemonic or its contents were noticed, whereas BE-FAST was mentioned in only four videos (4.4%). For the 2023 search, the FAST mnemonic or its contents were noticed in 36 videos (34.6%) and BE-FAST was mentioned in 11 videos (10.6%). Among the 2021 and 2023 searches, the mean GQS values were 3.09 and 2.96 points, 50 (54.8%) vs. 56 (53.8%) videos rated 3.5 points or higher (high quality), respectively. GQS scores of the videos mentioning balance, eyes, face, arms, speech, and time, the basic and advanced information about radiology and treatment, and mentioning FAST, BE-FAST, and TPA were significantly higher. CONCLUSION: We conclude that YouTube is not yet a very useful tool for patients to realize that they may have acute ischemic stroke, though over the years; information available on social media for healthcare information and education has improved.

Is it safe? Health promotion videos on YouTube and the safety of viewers - Views from Ghana.

Objectives: Health promotion videos are trending and abundant. Information provided in these videos is not verified by any designated experts but is popular. In this paper we discuss the prevalence of such videos and guide patients on how to verify their authenticity. The paper accepts that these videos are abundant and necessary in an age driven by open access to information and commercial interests. Methods: The paper uses evidence from previous studies and observations of authors to propose the inclusion of YouTube in the health promotion toolkit of Ghanaian and African health systems. Results: The paper proposes the improvement of health literacy and patient-caregiver communication in preparation for an active role for YouTube as a health promotion tool. Conclusions: For patients, the paper recommends improved health literacy and communication with caregivers as an effective safety mechanism against misleading content. Caregivers are advised to accommodate patient views influenced by YouTube videos and be active participants in online spaces. Research on health literacy and effective patient-caregiver communication is recommended.

Educational Level of Laparoscopic Radical Nephrectomy Videos on YouTubeTM.

Purpose: This study aims to evaluate the educational quality and appropriateness of laparoscopic radical nephrectomy videos on YouTube using the LAParoscopicsurgery Video EducationalGuidelineS (LAP-VEGaS) criteria. It focuses on understanding the role of online resources in medical education and objectively assessing their quality. Methods: A search was conducted on YouTube™ for "laparoscopic radical nephrectomy" on August 15, 2023, leading to the selection of the first 125 videos. Videos were chosen based on length (over 1 minute), content (laparoscopic radical nephrectomy), language (English), and nonindustry sponsorship. The LAP-VEGaS criteria, encompassing 16 items under five main categories: video introduction, case presentation, procedures, outcomes, and educational content, were used for evaluation, assigning 0 or 1 point per criterion. Results: Out of 100 videos meeting the criteria, they were divided into two groups: personal uploads by expert surgeons (Group-1) and institutional uploads by hospitals and organizations (Group-2). Group-2 videos had longer durations and higher LAP-VEGaS scores. The transperitoneal approach was preferred in 88% of the videos, and 84% were right laparoscopic nephrectomies. Group-2 had significantly higher LAP-VEGaS scores (6.3 ± 2.2) compared with Group-1 (4 ± 2.1) (P < 0,001). The number of videos published over the years increased, while LAP-VEGaS scores fluctuated. Conclusion: Assessing laparoscopic radical nephrectomy videos on YouTube™ using the LAP-VEGaS criteria helped understand the role of online sources in medical education. Institutional uploads were found to be more successful in educational aspects, emphasizing the need for continuous quality review of online medical education materials. This study also guides how to evaluate and improve medical education materials on online platforms.

Assessment of Transoral Robotic Surgery (TORS) Content on YouTube.

BACKGROUND:  Online video hosting websites such as YouTube have been increasingly used by medical institutions to spread information about new and exciting topics. However, due to the large number of videos uploaded daily and the lack of peer review, few attempts have been made to assess the quantity and quality of information that is uploaded on YouTube. For this study, our team assessed the available content on the transoral robotic surgery (TORS) procedure. METHODS: A qualitative case study model was employed. Videos related to TORS were collected using a unified search protocol. Each video was then analyzed, and metrics of the following data points were collected: views, likes, comments, upload date, length of video, author type, author, and region of origin. Each dataset was analyzed by two distinct authors, and interrater reliability was calculated. Quantitative and qualitative statistics were curated. RESULTS: A total of 124 videos were analyzed for this review. The breakdown of videos was as follows: 15.32% (19) in the educational for patients category, 16.94% (21) in the educational for trainees category, 30.65% (38) in the procedural overview category, 8.87% (11) in the patient experience (PE) category, 10.48% (13) in the promotional category, 12.10% (15) in the other category, and 5.65% (7) in the irrelevant (IR) category. The total number of views across all videos analyzed was 2,589,561. The total number of likes was 14,827, and the total number of comments was 2,606. The average video length was 8.63 minutes. The most viewed category was the PE category at 1,014,738 and the most liked at 1,714. The least viewed category was IR at 21,082. The PE category had the most engagement based on combined comments and likes. The most watched video, with 774,916 views, was in the PE category under the "TORS for Thyroidectomy" search term and was titled "Thyroid Surgery (Thyroidectomy)." CONCLUSION: As the prevalence of online videos regarding medical devices, procedures, and treatments increases, patients and trainees alike will look toward resources such as YouTube to augment their understanding. Patients, providers, and medical education platforms should take heed of the promise and pitfalls of medical content on YouTube.

A Comparison of Quality and Reliability of YouTube Videos About the MRI Technique and Its Various Aspects.

INTRODUCTION: The Magnetic Resonance Imaging (MRI) machine is a subset of nuclear magnetic resonance imaging technology that produces images of the body using magnetic field gradients. The MRI Machine has two components: the computer-based control centre room and the adjacent MRI machine room where the patient undergoes the scan. AIMS: This study aimed to assess the quality and reliability of YouTube videos about MRI machines, MRI scans, and MRI claustrophobia and compare the quality and reliability of the videos among different types of uploaders.  Methodology: The YouTube Search Algorithm and a Google Sheets questionnaire were used to evaluate 10 videos that satisfied the inclusion criteria of the study. The video analytics included were title, number of views, likes and dislikes, comments, duration, source, and content. The quality of each video was established using the Global Quality Score (GQS), Reliability Score, and Video Power Index (VPI), where each quantifier went through statistical analysis using SPSS software, version 21.0 (IBM Corp., Armonk, NY) to determine if there was any significance. RESULTS: In order to determine statistical differences between the groups, the Kruskal-Wallis test was used on the quantifiers GQS, reliability score, and VPI to generate p-values. The p-value for VPI is 0.467, GQS is 0.277, and reliability is 0.316. All the p-values are greater than 0.05, showing that there is no statistical support for any significant difference between the groups in their VPI, GQS and reliability scores. CONCLUSIONS: YouTube videos with high-quality and reliable information on MRI machines, MRI procedures, and claustrophobia, especially those uploaded by clinicians and hospitals, can provide correct information, helping patients decide to undergo these procedures and alleviate claustrophobia.

A Social Media Content Analysis of Dental Health Information Involving the Use of Miswak (Salvadora persica) Chewing Stick on YouTube™.

Background The widespread availability of Internet access and the rising popularity of social media platforms have facilitated the dissemination of health-related information, including dental health practices. However, assessing the quality and effectiveness of such information remains a challenge, particularly concerning traditional practices such as Miswak (Salvadora persica) usage. This study aims to assess the description, use, and effectiveness of the Miswak (Salvadora persica) chewing stick posted as video clips on YouTube™ and provide considerations for future interventions. Methodology YouTube videos were searched using the terms "Miswak," "Siwak," "Salvadora persica," and "Chewing stick." Each video's descriptive features, i.e., title, links, country of origin, upload date, running time, views, comments, likes, and dislikes, were recorded. Content quality was assessed using the DISCERN tool, which rates the reliability, dependability, and trustworthiness of online sources across 16 items. Scores were aggregated for analysis. The statistical analysis examined video features and associations between the speaker, video type, source, and quality, with significance set at a p-value <0.05 using SPSS Statistics Version 20 (IBM Corp., Armonk, NY, USA). Results A total of 45 videos were included in the study, with the majority (62%) created by the "other professionals" category. Almost three-quarters (73.3%) of the videos were educational. The quality of the video clips was correlated with the speaker source and category of "other," revealing that high-quality information was considered such when the source was other than a dentist. Further, we found that a video's source did not elicit differences in the opinion of the video's quality. Conclusions This social media analysis provides considerations and implications for future research on the potential use of YouTube as a platform for Miswak educational interventions.

Evaluation of YouTube as a Health Education Resource for Skin Graft Procedures.

Recent studies indicate that YouTube has become a primary source of healthcare information for patients. Videos about skin graft procedures on YouTube have accumulated millions of views, yet there lacks a publication investigating the educational quality of this content. With current literature revealing misleading healthcare information found on YouTube, this study aims to evaluate the educational quality of videos related to skin graft procedures. YouTube was searched for various terms such as "Skin Graft Procedures" and "Skin Graft Surgery." 105 videos were assessed, with 21 excluded. Four independent reviewers rated the material with the Global Quality Scale (5 = highest quality, 1 = lowest quality) to judge educational value. Viewership, source, modality, and date of upload were also collected from each video and compiled for further analysis. The average Global Quality Scale was 2.60 amongst all videos, with videos led by physicians recording significantly higher scores than those not led by physicians (p<0.01). In comparing educational modalities, physician-led presentations provided the highest educational value, whereas live surgeries and consumer-friendly content contained low educational quality (p<0.01). Assessing videos split into cohorts based on viewership noted a significantly higher Global Quality Scale in videos with lower view counts (p<0.05). Skin graft videos on YouTube largely provide low quality information. Videos performed by physicians, particularly physician-led presentations, significantly improved the educational quality of skin graft content. Physicians must involve themselves in enhancing the quality of online content to better guide patients in navigating treatment options and making healthcare decisions.

Theoretical principles underlying the practices of eduTubers.

According to reports, Internet users spend an average of 8 h online per day, with a significant portion of this time dedicated to social media platforms such as YouTube. Among content creators on YouTube, eduTubers produce educational content. Students are increasingly using digital social media platforms as a supplement and support to education. Although certain educators question the validity of such educational videos, only limited studies have examined the scientific and academic rigor of eduTubers. This study identifies the underlying theoretical principles in the practices of eduTubers through qualitative research that employs digital methods and ethnographic tools. This study examined 13 eduTubers and analyzed 196 videos and more than 7500 comments from their channels. The results reveal four categories of practices, namely, pedagogical strategies, content management, resource management, and communication strategies. These practices unconsciously incorporate principles from various learning (e.g., cognitive theory of multimedia learning or the theory of meaningful learning) and communication (e.g., inverted pyramid theory or the temptation of teacher prophecy) theories. Educators could benefit from familiarizing themselves with and adopting the practices of eduTubers to enhance students' perception about learning in classrooms.

YouTube Videos Are a Moderately Comprehensive, Reliable, and Quality Option to Learn About "Multiple Sclerosis and Sexuality".

Objectives: This study aimed to evaluate the performance, comprehensiveness, reliability, and quality of English-language YouTube videos addressing the subject of multiple sclerosis and sexuality. Methods: In August 2023, a search was conducted on a computer using the keywords "multiple sclerosis and sexuality," "multiple sclerosis and sexual health," "multiple sclerosis and sexual health problems," and "multiple sclerosis and sexual dysfunction" for this descriptive study. According to predetermined inclusion and exclusion criteria, 38 videos that met the research purpose were examined. The related URLs were recorded. For each video, the following information was collected: content producers, performance with YouTube statistics, comprehensiveness with a form developed by researchers, reliability with Singh's Reliability Evaluation Form, and quality with Global Quality Scale. Two researchers independently evaluated the videos. Results: Eighty-nine and a half percent of the videos contained information presented by professionals. The average number of views was 2699.132 ± 3382.848, the comprehensiveness score was 4.2 ± 1.711, the reliability score was 3.184 ± 1.182, and the quality score was 3.421 ± 1.2. Nearly half (42.2%) contained good and useful information for viewers, and half (50%) had high video quality. The reliability and quality scores of videos containing each item in terms of comprehensiveness were higher compared to videos that did not include that item (p < 0.05). In addition, the videos with higher comprehensiveness scores had higher quality and reliability scores (p < 0.001). Conclusion: These results underscore the constrained performance attributes of YouTube videos addressing multiple sclerosis and sexuality, with their content exhibiting a moderate level of comprehensiveness, reliability, and quality. These results may provide a basis for increasing the effectiveness of YouTube videos on multiple sclerosis and sexuality.

A Study on the Characteristics of Sports Athletes' YouTube Channels and User Reactions.

This study examined the content characteristics and user responses of athlete-run sports YouTube channels, providing empirical insights for content production strategies and contributing to the development of athlete-run sports YouTube channels. Content analysis was conducted on 3306 videos posted on 20 popular YouTube channels of South Korean athletes from 1 January 2020 to 31 December 2021. The formal characteristics analyzed included video length, the presence of foreign language subtitles, paid advertisements, and information sources. The content characteristics examined were the types of sports events, main content themes, and whether the content matched the athlete's sport. Results revealed significant differences in content characteristics and user responses based on whether the athletes were active or retired. This study's distinctive contribution lies in highlighting the evolving role of athletes as content creators and providing strategic implications for enhancing the competitiveness of athlete-run sports YouTube channels. Future research should consider a broader range of sports YouTubers and a wider variety of YouTube channels to gain comprehensive insights into the sports content ecosystem on this platform.

Dissemination of health content through social networks: YouTube and opioid use disorders.

INTRODUCTION: Most Americans now access social media platforms, including YouTube, to obtain health information. However, few studies have evaluated the quality of YouTube content related to opioid use disorder (OUD), including medications for OUD (MOUD; buprenorphine) and harm reduction resources (e.g., naloxone). The purpose of this cross-sectional analysis was to assess the quality, accuracy, and reliability of MOUD and harm reduction-related video content available on YouTube. METHODS: The study team conducted a YouTube search between June 2022 and July 2022 using key words related to MOUD and harm reduction content (e.g., "suboxone," "methadone," "Narcan"). The 5 most viewed videos from each search term were analyzed for quality (i.e., Global Quality Scale; GQS), accuracy (i.e., JAMA Benchmark Criteria), and reliability (i.e., DISCERN). Videos that were non-English, duplicate, or that did not directly mention OUD, MOUD, or harm reduction were excluded from the review (N = 6). RESULTS: YouTube videos (N = 70) were mostly produced by medical professionals (27.1 %), independent nonmedical users (21.4 %; e.g., vloggers, individuals documenting their experiences), medical organizations (17.1 %; e.g., hospitals, treatment programs), and/or media (14.3 %; e.g., news agencies). The target audience was primarily the general public (65.7 %), people who use opioids (20.0 %), and healthcare providers (10.0 %). Videos containing MOUD content (N = 64, 61.4 %) mostly focused on suboxone (25.0 %), methadone (23.4 %), Sublocade (14.1 %), and subutex/buprenorphine (14.1 %). The median quality score was 2 based on the GQS with 3 videos receiving the highest quality rating (5). Two videos were highly rated for accuracy per all three JAMA Benchmark criteria. Videos produced by nonmedical educational channels had the highest overall reliability scores on the DISCERN criteria (median 4), followed by medical professionals (median 3), and medical organizations (median 2.5). CONCLUSION: The overall quality, accuracy, and reliability of MOUD and harm reduction related content posted on YouTube is poor. The lack of evidence-based content posted on YouTube reinforces the need for public health expert involvement in disseminating guideline-based content on social media.

The Public's Perception of Florence Nightingale's Legacy in the Digital Media: A Critical Discourse Analysis.

This study critically examines the public's perception of Florence Nightingale's legacy through a critical discourse analysis (CDA) of digital media, specifically podcasts and YouTube. Nightingale, who is often remembered as "The Lady with the Lamp", holds a complex identity within modern narratives that is celebrated for her pioneering contributions to nursing and public health, even if there are some disagreements about her, given the colonialist setting that may have shaped some of her opinions and decisions. This research employed CDA to analyze 25 podcasts and 18 YouTube videos, which were systematically included according to a priori inclusion criteria. The study synthesized how these media products portray Nightingale and, by extension, shape public discourse about the nursing profession. The findings reveal five thematic representations of Nightingale: as a legendary figure, a modern feminist, a dedicated statistician, a pioneer in public health, and a pivotal STEM contributor. These portrayals challenge traditional nursing stereotypes by emphasizing Nightingale's role as a rigorous scientist and reformer, suggesting broader perceptions of nurses that encompass leadership, analytical skills, and strategic thinking. The study supports the hypothesis that digital narratives significantly influence the public's understanding and appreciation of nursing, advocating for a more nuanced professional identity that integrates traditional caregiving roles with critical and analytical capabilities.

Evaluating the Adequacy of YouTube Videos for Learning Laparoscopic Right Hemicolectomy With Complete Mesocolic Excision.

AIM:  Complete mesocolic excision (CME) is becoming an oncological surgical principle day by day for right hemicolectomy. However, the procedure is technically difficult and carries a higher risk of complications than open surgery. In this study, the adequacy of YouTube videos that facilitate education for laparoscopic right hemicolectomy with complete mesocolic excision (LRHCME) was investigated. METHODS: In July 2024, in the search bar of the YouTube platform, the term "laparoscopic right hemicolectomy complete mesocolic excision" was searched. The first 100 videos in each search were evaluated. Animations, advertisements, lectures, non-surgical videos (pre-surgery, post-surgery vlog, etc.), and non-English videos were excluded from the study. Steps identified in the Delphi consensus were used to determine the reliability of the videos. The quality of the videos was measured using the Global Quality Scale (GQS) and the modified DISCERN score. RESULTS: Seventy videos were included in the evaluation. While 28 (40%) of these videos were classified as reliable, 42 (60%) were not found reliable. In reliable videos, video description, HD resolution, GQS, modified DISCERN, and duration were significantly higher (p-value <0.001, 0.012, <0.001, <0.001, 0.041 respectively). Reliable videos had a better rank than unreliable videos (p=0.046). CONCLUSION: When evaluated according to Delphi consensus, the most of LRHCME videos on the YouTube platform were unreliable. We conclude that YouTube alone is insufficient for learning LRHCME without a professional instructor.

The circular economy through the prism of machine learning and the YouTube video media platform.

The transition to a Circular Economy (CE) is rapidly gaining ground across countries and industries. It is the means of achieving more sustainable development by adopting innovative environmentally friendly strategies and saving primary resources. There are several studies indicating the increasing public and corporate interest in the CE but still remain limited in terms of the multitude and utilization of social media data. This work aims to shed light on the most common topics discussed on the YouTube platform, related to the CE. For this reason, we selected 17 videos including the term "Circular Economy" since these have been the most relevant with a sufficient number of comments and views. The model identified two main topics referring to "Sustainable industry and environmental responsibility" and "Circular Economy and resource management" which is a strong indicator of the people's interest in the utilization of resources alongside industrial and corporate activities. The two-topic configuration presented the highest coherence score; however, five and ten-topic configurations have been deployed since there was no extreme differentiation in the model's performance, which could provide more detailed insights. This work's innovation lies in utilizing Machine Learning techniques and social media data to unravel CE's debates.

Comparing the educational quality of YouTube and Facebook videos on tympanostomy tubes.

PURPOSE: Patients often refer to online materials when researching surgical procedures. This study compares the educational quality of online videos about tympanostomy tubes on two popular video platforms: YouTube and Facebook. This study provides clinicians with context about the content and quality of information patients may possess after watching online videos on tympanostomy tubes. MATERIALS AND METHODS: YouTube and Facebook were searched using key terms related to tympanostomy tubes. Videos were screened and scored in triplicate. DISCERN quality, content, production, and alternative medicine scores were assigned. Statistical analysis was conducted using GraphPad Prism. RESULTS: 76 YouTube and 86 Facebook videos were analyzed. DISCERN quality scores (mean = 1.8 vs. 1.4, P < .0001), content scores (mean = 1.7 vs. 1.0, P < .0001), and production scores (mean = 4.8 vs. 4.6, P = .0327) were significantly higher on YouTube compared to Facebook. 33 % of Facebook videos referenced alternative medicine, as compared with 0 % of YouTube videos (P < .0001). Physician/hospital-generated videos had significantly higher DISCERN and content scores than parent-, product-, and chiropractor-generated videos. Views did not correlate with DISCERN or content scores. CONCLUSION: YouTube is a better platform than Facebook for educational videos about tympanostomy tubes. YouTube videos had higher educational quality, more comprehensive content, and less alternative medicine. One third of Facebook videos advocated for alternative treatments. Importantly, videos on both platforms were of limited educational quality as demonstrated through low DISCERN reliability scores and coverage of few important content areas.