Analysis of YouTube videos as a source of information for reliability and effectiveness of cannabidiol oil in treatment of epilepsy

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.

Evaluating the Credibility and Reliability of Online Information on Cannabidiol (CBD) for Epilepsy Treatment in Poland

The interest in the potential therapeutic use of cannabis, especially cannabidiol (CBD), has increased significantly in recent years. On the Internet, users can find lots of articles devoted to its medical features such as reducing seizure activity in epilepsy. The aim of our work was to evaluate the information contained on the websites, including social media, in terms of the credibility and the reliability of current knowledge about the usage of products containing cannabidiol in epilepsy treatment. We used online available links found using the Newspointtool. The initial database included 38,367 texts, but after applying the inclusion and exclusion criteria, 314 texts were taken into consideration. Analysis was performed using the DISCERN scale and the set of questions created by the authors. In the final assessment, we observed that most of the texts (58.9%) were characterized by a very poor level of reliability and the average DISCERN score was 26.97 points. Additionally, considering the form of the text, the highest average score (35.73) came from entries on blog portals, whereas the lowest average score (18.33) came from comments and online discussion forums. Moreover, most of the texts do not contain key information regarding the indications, safety, desired effects, and side effects of CBD therapy. The study highlights the need for healthcare professionals to guide patients towards reliable sources of information and cautions against the use of unverified online materials, especially as the only FDA-approved CBD medication, Epidiolex, differs significantly from over-the-counter CBD products.

Evaluating the performance of the language model ChatGPT in responding to common questions of people with epilepsy

OBJECTIVE

People with epilepsy desire to acquire accurate information about epilepsy and actively engage in its management throughout the long journey of living with seizures. ChatGPT is a large language model and we aimed to assess the accuracy and consistency of ChatGPT in responding to the common concerns of people with epilepsy and to evaluate its ability to provide emotional support.

METHODS

Questions were collected from the International League against Epilepsy and the China Association against Epilepsy. The responses were independently assessed by two board-certified epileptologists from the China Association against Epilepsy, and a third reviewer resolved disagreements. The reviewers assessed its ability to provide emotional support subjectively.

RESULTS

A total of 378 questions related to epilepsy and 5 questions related to emotional support were included. ChatGPT provided "correct and comprehensive" answers to 68.4% of the questions. The model provided reproducible answers for 82.3% questions. The model performed poorly in answering prognostic questions, with only 46.8% of the answers rated as comprehensive. When faced with questions requiring emotional support, the model can generate natural and understandable responses.

SIGNIFICANCE

ChatGPT provides accurate and reliable answers to patients with epilepsy and is a valuable source of information. It also provides partial emotional support, potentially assisting those experiencing emotional distress. However, ChatGPT may provide incorrect responses, leading users to inadvertently accept incorrect and potentially dangerous advice. Therefore, the direct use of ChatGPT for medical guidance is not recommended and its primary use at present is in patients education.

Epilepsy Videos on YouTube: A Cross-Sectional Observational Study

INTRODUCTION

Epilepsy is defined as a disorder of the brain characterized by an enduring predisposition to epileptic seizures. Being the most common neurological condition in the world, information regarding epilepsy is gathered by people from different available sources.

OBJECTIVES

The objective of this study was to evaluate the reliability and quality of YouTube videos about epilepsy as a source of information for the general population and also for patients suffering from this illness and for their families.

METHODOLOGY

A cross-sectional observational study was conducted, utilizing a questionnaire prepared on Google Forms (Google LLC, Mountain View, California, United States) with predetermined criteria. Each of the six authors independently searched and evaluated 10 YouTube videos using specific keywords. The assessment included determining the global quality score and utilizing the DISCERN tool. The collected data was recorded in Microsoft Excel and subsequently analyzed.

RESULTS

A total of 60 videos were analyzed, revealing that 76.27% of them provided information on the available treatment options for epilepsy, 71.19% explained the cause and etiology of the condition, and only 3.39% of the videos mentioned support groups.

CONCLUSIONS

Our study highlights the importance of assessment of medical information on social media platforms in order to ensure availability of correct information with high quality and reliability for epilepsy patients. This will help in understanding their medical health issues and decision making.

Quality and Reliability Analysis of YouTube Videos on Magnetic Resonance Imaging Claustrophobia

Aim Magnetic resonance imaging (MRI)-induced anxiety is not infrequent with a reported incidence as high as 37% and the rate of failed MRI imaging due to claustrophobia ranges between 0.5% and 14.5%. The objective of this study was to evaluate the quality and reliability of YouTube^TM videos on MRI claustrophobia. Methods Sixty-five videos were included in the final analysis. Video information analyzed included video length (minutes), video content, qualification of the video uploaders, time of upload, time since upload, the number of total views and the mean daily views, and like counts. We divided the videos according to the uploaders into professional and non-professional groups and further grouped the videos as useful and misleading. Data obtained from the videos were evaluated with three tools including subjective evaluation, Quality Criteria for Consumer Health Information (DISCERN), and Global Quality Scale (GQS) tools. Results The mean video duration was found as 4.14±4.45 minutes. The mean view count was 104.59±408,788.68 and the mean like count was found as 272.55±1096.25. Seventeen (26.15%) videos were uploaded by professionals and 48 (73.85%) by non-professionals. Twenty-eight (43.08%) of the videos were useful and 37 (56.92%) were useless. The mean DISCERN and GQS scores were statistically significantly higher in the professional videos compared to the non-professional videos and in useful videos compared to non-useful videos (for all, p<0.001). Conclusion A majority of the YouTube^TM videos concerning MRI claustrophobia were uploaded by non-professionals. Physicians and other healthcare personnel should be encouraged to provide useful and accurate videos and to direct patients appropriately.