In an era where medical information is increasingly shaped online, short videos have become a popular means of conveying knowledge about diseases, including brain tumors. This article addresses the quality and reliability of videos related to brain tumors on two popular platforms, “TikTok” and “Bilibili,” where 100 of the most viewed videos were evaluated using global assessment tools and innovations in machine learning. The article will discuss how multiple factors, such as content type and publishers, play a role in the quality and reliability of these videos, in addition to analyzing their dissemination mechanisms. We hope this research provides valuable insights on how to improve the health information available to the public and its impact on health decisions.
The Importance of Evaluating the Quality of Medical Information Online
Medical information available online has become a vital source of health knowledge for many individuals. Many people seek to learn about their health conditions or diseases by searching the internet, making the quality of the information they receive crucial. Classifying the quality of information disseminated by various platforms is essential, as misleading advice can have serious consequences for individuals’ health. Moreover, misleading information may lead to unwise decisions regarding treatments or medical examinations. In this context, quality metrics such as the DISCERN criteria and Global Quality Score play a key role in assessing the health information published online.
In a study conducted on short videos related to brain cancer on the TikTok and Bilibili platforms, assessment tools like Global Quality Score were used to evaluate the videos. The results were concerning, showing that the quality of information provided in these videos was not satisfactory. This underscores the urgent need to develop more effective evaluation standards to ensure higher quality and reliability content. The use of standardized metrics will achieve effective oversight of health materials available and help develop clear guidelines for users on how to distinguish between reliable and unreliable sources.
What is even more concerning is that popular health information found on the internet may be a source of confusion. For example, short videos tend to be more engaging for users due to their visual and interactive nature, but that does not necessarily mean they are professional or accurate. This confusion contributes to the increased challenges faced by health authorities in regulating public information safety. There must be a collective commitment from health institutions, academics, and technology companies to promote the quality of health information and effectively address misleading information.
Analysis of the Quality of Medical Short Videos on Social Media Platforms
Studies show that short medical videos, such as those available on TikTok and Bilibili, can influence how health information reaches the public. In the analysis conducted to examine short videos about brain cancer, objective rating tools were used to determine quality and reliability. The results showed that TikTok videos received a higher quality rating compared to those on Bilibili, making it a more effective platform for disseminating health information, despite significant differences in content type.
Interestingly, videos published by professionals or medical institutions tend to receive better ratings than those produced by non-professionals. This reinforces the idea that educational background and experience play a key role in the accuracy of the information presented. For example, content viewed from specialized doctors or medical institutions improves the quality of the information circulated compared to general or unreliable content.
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the digital era, social media platforms like TikTok and Bilibili have become valuable sources of health information, especially in specialized fields such as brain tumors. The term “脑肿瘤,” which means brain tumors in Chinese, has been used to search for content related to this topic on these platforms. Videos are selected based on a set of criteria, such as length, the presence of Chinese subtitles, and the availability of medical information. Through this research, videos that are deemed irrelevant or that repeat available content are excluded, which leads to a higher accuracy of the extracted data and focuses on information that is truly useful for viewers.
In addition, users need to be aware of the risks associated with information sources, and the importance of verifying information before adopting it, as this is considered an important step towards improving public health.
The scope of research led researchers to select 200 short videos covering a variety of topics related to brain tumors. It is worth noting that these videos were categorized based on their content, providing insight into what each platform showcases on this subject. Ultimately, users receive vital information that can help them understand a serious disease like brain tumors.
Classification of Video Content
To facilitate understanding and research, the videos were categorized into different groups reflecting the nature of the content. These categories included basic knowledge of the disease, surgical presentations, medical research, case reports, and relevant news or documentation. This classification not only helps in organizing the content but also provides researchers and viewers with a clear reference of what to expect from each video.
Through this classification, it became clear that many popular videos focused on basic knowledge about the disease, enabling viewers to understand the fundamentals related to brain tumors. Conversely, there were more specialized videos addressing the more technical aspects, such as surgical presentations and treatment recommendations, providing more depth for viewers seeking more complex information. This distribution indicates that people on these platforms are looking for diverse knowledge based on their individual needs.
Evaluation of Video Quality and Information Reliability
When discussing health content, evaluating quality and reliability is a fundamental aspect of understanding the value of the information presented. Tools such as GQS and DISCERN were used to assess the quality and reliability of each analyzed video. Through these tools, the criteria that this content must adhere to in order to be reliable and beneficial for the audience were established.
The evaluation results showed that videos obtained from TikTok had a higher quality and reliability than videos from Bilibili. The reliability and quality scores of the information presented on TikTok were considered above average compared to Bilibili. This difference can be attributed to the nature of the content and the personalities producing the videos, as the majority of content on TikTok comes from medical professionals, while Bilibili has a higher proportion of users without a medical background.
Analysis of Reach Metrics Using XGBoost Algorithm
The XGBoost algorithm was applied to analyze the reach metrics of the videos and understand the factors affecting the level of interaction such as the number of likes, comments, and shares. These metrics are indicators of how impactful the content is on the audience and how it responds. Advanced modeling was used to analyze the data to identify the most influential elements in attracting viewers.
The analysis included the variable factors used in the study such as the type of video content, video length, the social status of the publisher, and other related factors. The importance of each factor in influencing reach was determined using SHAP, which helps understand how each element impacts audience behavior. These results indicate that content quality and personal interaction can be key factors in improving viewer engagement rates.
Statistical Analysis of Research Results
The statistical analysis was conducted using R to study the potential results concerning the content quality and reach of the videos. The analyses included comparing data using various tests, while ensuring the validity of the results through advanced methods alongside multiple research reviews. The results showed significant differences between videos on TikTok and Bilibili, reflecting the importance of careful selection of medical information sources.
It was also emphasized that the data found it responsible for providing future recommendations that need to be considered in the digital space in other fields of health sciences. Through this study, it has become clear that delivering medical content across digital platforms should be done in a manner that ensures the quality and reliability of the information provided to users, enhancing the impact of the content on the level of health education among the audience.
Tool
Reliability of DISCERN and Quality of Short Videos Related to Brain Tumors
Short videos related to brain tumors are a source of quick information that can reach a wide audience. However, these clips vary significantly in quality and reliability based on the source of upload and video content. The study employed the DISCERN tool to measure the reliability of these clips, alongside using the GQS (Global Quality Score) tool to assess content quality. Results showed that professional participants scored better in both DISCERN and GQS compared to non-professionals and institutions. For instance, professional individuals received a much higher DISCERN score, indicating that the information provided by them was more accurate and reliable. It is crucial to consider the quality of content, as providing medical knowledge that lacks accuracy negatively impacted its quality. Regarding video types, disease knowledge clips had the highest scores, followed by case reports, indicating the importance of well-thought-out educational content.
Analysis of the Impact of Posting Short Videos
The analysis included using TikTok and Bilibili to compare the impact of posting videos related to brain tumors. Videos were randomly divided into a training group and a test group, aiding in the development of the XGBoost model to predict video performance. The model’s results were positive, displaying an R² value of 0.73, reflecting strong predictive performance. The most influential variables, such as the number of followers and the reliability status of publishers, demonstrated how these factors play a significant role in gaining likes. For example, as the number of followers increased, so did the chances of the video receiving higher likes. Additionally, high-quality videos did not significantly impact the gathering of likes, even though quality was, of course, an important point in the content’s form. As for video classification, it was noted that institutional videos had a negative correlation with the number of likes, necessitating further research to understand this trend.
Main Findings and Conclusions from the Study
The results reflect the conclusions reached regarding the quality and reliability of short videos related to brain tumors. This is the first study to explore the impact of posting these videos on platforms like TikTok and Bilibili. It was revealed that videos on TikTok contained a larger proportion of professional content compared to Bilibili, affecting GQS and DISCERN scores. Videos focusing on clinical knowledge and containing educational content were of higher quality compared to those with marketing content. The study also found that most videos from non-professionals had low quality, reflecting the necessity to enhance the understanding of responsibility regarding medical information on digital platforms. Therefore, the current situation requires improvements in the design of future studies to verify a balance between disseminating biomedical medical information and making it useful for society.
Classification and Quality Content of Videos
One of the most notable findings of the study was that clips addressing clinical knowledge about brain tumors had the highest scores in both GQS and DISCERN tools. In contrast, other videos, such as those promoting treatment methods or endorsing certain practices, tended to provide superficial and non-comprehensive information, negatively affecting their quality. For example, educational videos of known nature were more prominent than others, thus being more widely circulated. Similarly, it was important to note that the information provided in case classifications was often insufficient to achieve the required educational objectives. Overall, this issue requires improvements in the quality of available medical content for a broad audience across these platforms to be more effective.
Impact
Publishing Video and Medical Information to the Public
Although short videos have achieved varying degrees of content quality, they have received more praise in terms of spreading among audiences. Analysis shows that videos with engaging and reliable content were more capable of attracting likes and comments, reflecting greater responsiveness from users in return. These results draw researchers’ attention to the processes of disseminating medical information through social media, where improving the transfer of medical knowledge is of utmost importance. This may lead to a deeper understanding of the impact that brain tumor information has on public awareness. Therefore, more effective educational strategies should be designed that aim to present reliable information in an engaging and useful way for the viewer, with a need to monitor quality and reliability.
The Importance of Short Videos in Disseminating Medical Information
Social media is considered an important platform for raising medical awareness, especially through short videos. The popularity of these videos among users is increasing, as many prefer to watch entertaining content. Research confirms that most social media users are healthy individuals seeking entertainment, rather than necessarily medical advice. Nevertheless, short videos play a vital role in providing health information to the public.
Predictive models studying the impact of spreading videos related to brain tumors examined several factors, where it was found that the fundamental characteristics of short videos significantly contribute to predicting their spread weight. The more followers and content uploaded by creators, the greater the chances of the video spreading. For example, the documented status of users positively contributes to the prediction outcomes, as the TikTok platform has proven to have a higher percentage of recognized creators. This indicates that having credibility on the platform can significantly affect how the audience interacts with the content.
Previous studies have indicated that the presence of people within the video is linked to the number of likes. However, the quality of the content and its reliability do not receive the same attention. While the algorithms used in studies, such as XGBoost, show that this consideration does not hold sufficient weight compared to other factors, this highlights the need to raise public awareness of the importance of relying on trustworthy sources for health information.
The Role of Users and Content Creators in Medical Videos
Amid differing interests, participants in medical videos play diverse roles. For patients, the primary goal may be to obtain accurate and useful information about their health. However, most content related to brain tumors suffers from a lack of quality and reliability. Therefore, patients must exercise caution when consuming this information and avoid making medical decisions based on a single source only.
The general audience also has a mixed motivation for watching these videos, with motivations ranging from entertainment and incidental discovery, to algorithm-driven recommendations. Only a small portion of viewers actively seeks accurate medical information. Thus, their needs must also be considered, as there is an urgent need for accurate and reliable videos. For content creators, social media represents an effective tool to enhance their impact in this field. By providing medically themed content, they can quickly attract a larger number of followers.
Unfortunately, quality and reliability are not priorities for content creators. Meeting the minimum standards of the platform is often sufficient to gather followers and increase fame. This also applies to medical practitioners who may be motivated to post content on platforms, but few show sufficient motivation for that, as producing high-quality content does not necessarily guarantee greater impact. Psychological pressures and burnout may negatively affect the quality of medical content provided on these platforms. This calls for regulatory bodies to consider how to regulate medical content across these platforms to adhere to the necessary quality standards.
Enhancing
Quality and Credibility in Short Medical Videos
Short medical videos require proper organization to ensure the dissemination of reliable information. While social media plays a significant role in promoting health knowledge, there must be clear standards for users and content creators. Non-professional content creators lacking the necessary medical qualifications should be categorized to avoid spreading misleading information. It is also essential to impose restrictions on commercial advertising within these videos to minimize biased information.
Government guidelines can also be effective; by creating official pages that allow access to reliable and evidence-based medical information. These sources should rank high in search results when querying medical terms. Given the importance of this information, these pages should hold high relevance for users. It is also crucial to enhance public health strategies targeting specific populations, as social media, including short videos, can play a vital role in cancer screening and early diagnosis.
Researchers should also work on establishing reliable standards for medical information used in short videos. This requires utilizing tools like DISCERN and GQS, which were developed before the emergence of short videos. The shift towards enhancing the quality of medical information through modern technology is a necessary step in addressing current health challenges. There should be considerable recent research aimed at improving the quality and reliability of short medical videos.
Challenges of Future Research Related to Short Medical Videos
Research related to short medical videos faces numerous challenges. Limitations include the scope of the study, which was confined to two popular short video platforms, potentially restricting the generalizability of results to other platforms or environments. Additionally, the design adopted in most studies is cross-sectional, meaning the inability to infer causal relationships between specific factors and the dissemination of the video. Furthermore, it has been shown that the data used, despite its strength in handling complex data, may face challenges if the quality is not at the required level. The presence of any biases or inaccuracies in the data could affect the reliability of the results.
This indeed makes it essential to conduct further studies exploring various social media platforms, employing long-term research methods, while also investigating alternative machine learning techniques. Future research should also aim to integrate diverse data sources for a greater opportunity to capture a wide range of content related to brain tumors and its impact on dissemination across different social media platforms. The rising rates of short video usage do not always imply their reliability or accuracy, necessitating a reevaluation of how to ensure the provision of accurate and high-quality medical information to users.
Guidelines for Diagnosis and Treatment of Glioblastoma in Adults
Glioblastoma is among the most common and significant in the field of neuro-oncology. Guidelines for diagnosing and treating this type of tumor involve a series of analyses and studies focused on how to recognize symptoms and appropriate treatment directions. Physicians must consider several factors, including the specific type of tumor, its location in the brain, as well as the overall health of the patient. Available treatments such as surgery, chemotherapy, and radiation therapy are essential for effectively managing this condition. In this context, clear guidelines have been developed by a group of experts in the field to ensure the provision of the highest possible level of care for patients.
Studies indicate that surgical resection of the tumor is the most effective option when feasible, as it can lead to improved patient quality of life and increased survival times. After tumor resection, it may be necessary to use adjunct therapies such as radiation or chemotherapy to reduce the likelihood of tumor recurrence. Radiation therapy is also a common option, used to shrink the tumor or reduce the risk of it developing again. However, it is important to understand the potential side effects of each of these treatments and how to manage these effects to avoid negative impacts on patients’ quality of life.
Exploring
Social Media in Health Communications
The use of social media has expanded significantly in recent years, making it a powerful tool in health communications. Interaction between medical professionals and the public through these platforms is essential for disseminating awareness and accurate health information. The most prominent uses of social media include sharing information about new treatments, clinical research, and public health advice.
However, there are many challenges in this context, such as the spread of false or inaccurate information. This misinformation contributes to confusion among patients and leads to decisions that are not based on scientific facts. Here, the role of health professionals is crucial to achieve balance by providing correct information and critical care to the public. Correcting misconceptions on social media is an integral part of efforts aimed at improving the quality of available information for people, thus helping them make better decisions about their health.
Evaluating the Credibility of Health Information Online
The internet is an essential part of daily life for people, and using it as a source of health information has become extremely common. The primary challenge lies in evaluating the credibility of this information. Individuals should have the ability to distinguish between reliable and unreliable sources. The methods used to assess credibility and quality of information include various tools like DISCERN. This system assists users in judging the quality of the available information and whether it accurately reflects treatment choices or medical information.
It is crucial for health professionals to have a prominent role in this process, as they can work on providing accurate information and ensuring the delivery of reliable scientific evidence to users. Enhancing the ability to evaluate information sources enables individuals to make decisions based on a true understanding of their health status rather than decisions based on misleading information.
The Future of Health Information Through Social Media
As technology advances, social media is expected to play an increasingly important role in healthcare. Platforms like TikTok and YouTube continue to grow as tools for disseminating health information in an interactive and engaging manner. However, this also requires caution, as the information presented must be accurate and scientifically grounded. Short videos and visual content can be engaging in conveying knowledge, but there must be assurance that they provide reliable and helpful advice.
Focusing on interactive education will be a key step in the future of health communication. Health organizations should develop strategies that allow the public to interact with information in a way that enhances their health understanding. This requires collaboration between researchers, practitioners, and educators to develop content that contributes to improving the quality of health information distributed across these platforms.
Understanding Brain Tumors and Their Impact on Public Health
Brain tumors are a set of neoplastic tumors that form within the skull, arising from different types of cells. According to statistics, the mortality rates from central nervous system tumors in China reached 3.86 per 100,000 people in 2020, highlighting the significant burden these cases impose on society and health resources. The clinical symptoms of brain tumors vary depending on their size, location, and biological behavior. Symptoms can include problems with neurological functions, such as concentration difficulties, seizures, and increased intracranial pressure.
Magnetic resonance imaging (MRI) is a common tool for diagnosing brain tumors, providing accurate information about the brain’s condition. However, the wide variety of brain tumors requires multiple treatment strategies that may include monitoring, medication, radiation therapy, and potentially surgical interventions if needed. To achieve the best outcomes for patients, opportunities for accurate diagnosis and early detection of tumors must be available.
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the situation a more comprehensive approach to address the challenges posed by medical information online. This includes establishing regulatory frameworks that ensure the credibility of sources and the reliability of information being disseminated. Collaboration between healthcare professionals, institutions, and technology developers is crucial to create a safe information environment where patients can confidently seek advice and resources.
In conclusion, while the internet has revolutionized access to medical information, understanding and improving the quality of this information is essential. By developing robust strategies and tools to evaluate and promote accurate content, we can mitigate the risks associated with misinformation and empower patients to make informed health decisions.
in using XGBoost researchers to analyze various factors, such as the content quality, visual appeal, and user interaction metrics, that can influence the virality of these videos. This form of advanced analysis allows for a deeper understanding of audience preferences and behaviors, ultimately leading to more effective strategies for communicating medical information. Furthermore, machine learning algorithms can provide predictive insights, helping creators to tailor their content to better meet the needs of their audience.
In conclusion, the combination of robust evaluation tools, engagement metrics, and advanced data analysis techniques is essential for enhancing the quality and reliability of medical video content on social media platforms. By addressing the current challenges and leveraging the opportunities presented by technology, the medical community can work towards disseminating accurate and useful information to the public more effectively.
XGBoost in providing insights into the quality and reliability of content, leading to strategies for producing better medical videos. By analyzing data, we can predict the expected audience response based on various elements such as visibility, expertise provided, and usability. This analysis helps to simplify decision-making regarding the effective dissemination of new content.
It is noteworthy that understanding user behavior and interactions can advance how medical information is made available. By using a combination of machine learning and quantitative analysis, existing gaps in health information presented on platforms can be addressed, contributing to the delivery of accurate and reliable information. Ultimately, these efforts aim to improve the public’s lives and better alert them to health risks.
Improving the XGBoost Model’s Performance
To improve the performance of the XGBoost model and mitigate overfitting, a grid search approach was adopted for hyperparameter tuning. Some key parameters such as learning rate and maximum depth were selected, and the tuning process was carried out over several rounds using a threefold cross-validation method. Classification accuracy was used as the performance metric, ensuring that the chosen parameters were robust across different datasets. The analyses relied on a mix of parameters that achieved the lowest classification error rate, and the analyses continued to include several variables such as the year the video was uploaded, the number of days since upload, video length, content type, and publisher characteristics like the number of followers, the number of uploaded videos, and verification status.
The SHAP tool was used to calculate feature importance in the machine learning model, as this tool contributes to understanding the role of each factor and how it affects video dissemination. Through these thorough analyses, it became possible to explore the factors influencing video performance, reflecting the importance of deep parameter customization and the efficiency of the applied model, which is crucial to achieving reliable outcomes in the field of data analysis.
Statistical Analysis
R version 4.2.3 was used to conduct all statistical analyses, where continuous variables that did not follow a normal distribution were described using the median and interquartile range. The Wilcoxon test was used to compare differences between continuous variables, while categorical variables underwent a chi-squared test. When necessary, Fisher’s exact test or Yates’ correction was applied. The Kappa test was used to examine the consistency between quality and reliability ratings, with a p-value exceeding 0.8 indicating acceptable consistency. Integration of R packages “xgboost” and “fastshap” for developing the dissemination impact model, while the “ggplot2” package was used to visualize the results. A two-tailed p-value of 0.05 was considered the threshold for statistical significance.
It was noteworthy that the results of the statistical presentations emphasized the need for in-depth analysis to understand the differences between various sources of content. By applying the appropriate statistical tests, underlying factors associated with this data can be identified, including video quality and its impact on viewers. The focused statistical mechanisms here pursue a deep study that makes the evaluation and issuance process more effective and reliable.
Video Characteristics and Dissemination Pattern
During the selection process, a number of unrelated or duplicate videos on the TikTok and Bilibili platforms were excluded. Basic information about 200 included short videos was provided, analyzing the impact of dissemination through various indicators such as the number of likes, comments, shares, and content saves. It was clear that the TikTok platform excelled in some metrics like the number of likes and comments, while the second platform stood out in the length of videos. The detailed analysis shows that successful content tends to include people and subtitle usage, reflecting users’ preferences on these platforms.
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Viewers are engaged with content focusing on clinical knowledge, with case reports comprising the largest section, indicating the importance of developing and improving disease-related content. This trend highlights the need for a deep understanding of data sources and audience responses, providing strategic information that can be used for future content planning. These findings are critical for understanding how external and internal factors impact video performance across multiple platforms.
Quality and Credibility Assessment
To determine the quality and credibility of short videos related to brain tumors, reliable assessment tools such as GQS and the DISCERN test were utilized. Results indicate that videos on TikTok and Bilibili were below average, though TikTok recorded higher quality and credibility in comparison. Sub-studies showed an analysis of different data from both professional and non-professional doctors across various video platforms. Notably, professional doctors provided higher quality content, emphasizing the importance of specialization in delivering medical content.
Many videos did not even meet minimum quality standards, highlighting the gap present in digital medical content on these sites. However, studies regarding video types reflected some good quality content, necessitating a more focused approach on how to adopt best practices in delivering medical content and what can be improved in videos to better attract the audience. Elevating quality and credibility is essential in addressing the challenges posed by the current digital landscape.
Analysis of Spread Impact
The final analysis utilized the XGBoost model, which provided very reliable results on how various factors affect video spread. Videos were randomly split into two groups, where the training group was used to develop the model while the test group was designated to evaluate its performance. Results showed that the number of followers and the publisher’s credibility score were the most impactful factors on like levels. The findings suggest that videos uploaded by institutions did not receive the same level of interest as individual videos, confirming that both the quality of the content and the characteristics of the publisher play a crucial role in spreading.
The analysis allowed for an understanding of community and psychological elements that can influence how the audience perceives different videos. While video quality did affect spread, the personal touch and emotional connection with the content had an even greater effect. The focus on types of videos featuring people and visually engaging content enhanced accessibility and interaction. The results highlight the importance of considering both quality and substance and how personal factors play a significant role in the digital video world.
Video Quality and Credibility Analysis
Video quality and credibility are fundamental factors influencing how information is received by the audience. In the medical context, it is evident that video quality assessment is often unsatisfactory in many cases, especially those related to brain tumors. In a comprehensive study, video quality was measured using metrics such as GQS and DISCERN, where results showed that a large percentage of videos did not meet expected quality standards. For example, on the Bilibili platform, the flow of information in videos was lower compared to TikTok, resulting in lower scores in quality and reliability assessments.
When examining the information provided about brain tumors, short videos that addressed essential clinical information received the highest scores due to their provision of clear and sufficient information. In contrast, animated videos, which are used to provide an overview of specific techniques such as resection or stereotactic radiotherapy, achieved lower results as they often lack depth on sensitive topics like indications and limitations. Concerns are raised as videos following medical reports or case studies also showed a lack of quality, potentially exposing viewers to misleading information.
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To this end, many applications lack a review or modification system, making it harder to determine the publication date of information, thereby increasing the percentage of unreliable information. This means that viewers, especially patients, may face serious challenges when trying to use these sources as a basis for making crucial medical decisions, highlighting the importance of awareness and caution when consuming medical video content.
The Impact of Publishing and Distribution on Information Quality
Protecting medical information from the confusion between entertainment and accurate information is a multifaceted issue that requires deeper analysis. TikTok is an example of a platform that may contribute significantly to the spread of medical videos, while Bilibili lacks the same level of reach and dissemination. The success of videos in reaching a wider audience is associated with their graphic appeal and short content, whereas more in-depth videos struggle to gain the same exposure, indicating that misunderstanding the quality of content and audience preferences can lead to the spread of inaccurate information.
When studying the social and behavioral considerations of users, we find that the majority of social media platform users may have other interests that make medical content secondary. They typically look for entertainment or relaxation rather than seeking medical information. This suggests a need to modify the strategies used in disseminating medical information to enhance the audience’s awareness of the importance of reliable health information.
With the increasing number of users of smart devices and social channels, it becomes essential to establish precise standards for analyzing data related to the dissemination of medical content. This requires developing predictive models to determine the impact of various characteristics on the spread of medical videos. The findings necessitate bolstering reliability metrics and integrating them into distribution algorithms across social platforms to ensure access to accurate information.
The Various Roles of Content Providers in Medical Videos
The production of medical content on social media platforms requires active engagement from all participants, whether they are health professionals or amateurs. Patients face significant challenges when trying to find accurate and reliable information about brain tumors. Statistics indicate that much of the available information is not of high quality, placing them in critical situations if they rely on it to make health decisions. Therefore, self-monitoring and avoiding reliance on a single source becomes an urgent necessity.
As for the general audience, their motivations for watching medical videos vary between entertainment and randomly discovering information driven by the platform’s recommendation algorithm. However, few actually seek medical information, making this a factor to consider when designing content. This is where content providers play a role by attracting the audience through the creation of unexaggerated videos aimed at presenting educational content in an engaging manner.
Consequently, medical content providers realize that the quality of what they offer is not the decisive factor for attracting followers. Instead, they may prefer quick accessibility and a short time commitment of about one or two minutes for the video. In this context, platforms should establish clear strategies to ensure the provision of reliable sources and high-quality content, alongside the necessity of specific standards to enforce regulations on medical content and prevent misleading content that could harm public health.
Regulatory and Monitoring Requirements for Social Platforms
There appears to be an urgent need to implement strict regulations on the medical content published on social platforms due to the sensitivity and critical nature of health information. Platforms can sever the link between misleading information and the public by establishing rules for medical information services. For example, content providers should be clearly categorized as professional or non-professional, and restrictions should be imposed on commercial advertisements that may affect the credibility of the content.
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It is also important to develop official pages and centers that include reliable health information reviewed by certified health professionals. These steps enable users to quickly access accurate health information and benefit from it in making sound decisions. Enhancing awareness of laws and regulations against misinformation on the internet is also a significant step to improve the quality of health information provided, which the public relies on.
In addition to the importance of organizing content, health authorities, both governmental and non-governmental, should collaborate to monitor the health information displayed on these platforms. This requires a commitment to implementing targeted health campaigns to raise awareness and enhance the necessary measures to achieve positive outcomes in response to health information services.
Quality and Credibility of Short Videos Related to Brain Tumors
Short videos are a popular platform for disseminating health information, but their quality and credibility raise significant concerns. In recent years, several studies have emerged evaluating these videos, showing that videos produced by professional health sources, such as doctors and hospitals, tend to have higher quality and greater credibility compared to those produced by non-specialized sources. Studies indicate that content addressing medical knowledge about brain tumors offers valuable information and raises health awareness; however, it also requires better organization and structuring by content providers. For instance, on TikTok, it has been observed that videos dealing with specific medical information receive more views than those providing general, inaccurate information, which necessitates a review of the elements affecting the effectiveness of the content and its ability to attract followers.
Analyzing Factors Influencing the Spread of Medical Short Videos
The spread of short videos is influenced by several key factors. Among these factors, the number of followers of the channel or individual posting the video stands out, as an increase in the number of followers can lead to the video reaching a wider audience. It appears that quality alone is not enough to increase engagement if there is no large fan base. For example, some new content creators manage to boost their views thanks to effective marketing and social media networks, while high-quality content from health specialists may not achieve good results due to poor promotion. This leads to the necessity of encouraging health video content to employ effective marketing strategies.
Limitations and Challenges in Studying Short Videos
Studies related to short videos face several limitations that may affect their outcomes. Among these constraints is the restriction to only two platforms, TikTok and Bilibili, which may limit the generalizability of results to other platforms or social media environments. Additionally, the cross-sectional designs of studies may restrict the ability to infer causal relationships between the identified factors and the spread of the videos. Furthermore, the regional focus of the study, which is limited to content related to brain tumors on Chinese internet, may affect the comparability with other communities or cultures. This necessitates expanding the scope of future studies to include other platforms and longitudinal studies that take into account the different dynamics of health information dissemination across various social media.
Lessons Learned and Future Research Directions
The findings derived from the current study highlight the importance of focusing on the quality of medical content and improving its evaluation methods. Moreover, future studies should aim to widen the scope of analysis to include diverse communities and multiple data sources, which can help elucidate the dynamics of health video dissemination better. Increasingly, criticisms regarding misleading medical information on the internet underscore the need for stringent regulations and oversight to ensure the provision of accurate and reliable information to consumers. Additional investigations should encompass various aspects such as the psychological impact of health content and how it influences viewing behaviors, thereby enhancing the understanding of social media usage in public health contexts.
Trends
The Ethical Issues in Publishing Health Content Online
As health content online gains significant momentum, ethical issues play a crucial role in how this content is classified and presented. Ethics related to privacy and the right to information raise sensitive issues, especially when it comes to sharing sensitive health information. Future research should focus on establishing clear ethical standards to ensure that the information provided to the public is accurate and reliable. It is essential to promote ethical guidelines for content providers, including the importance of providing accurate and supportive sources, and avoiding misleading information. Enhancing collaboration between medical platforms and public health specialists can contribute to improving the quality of available information and fostering trust between the public and these information providers.
Information Technology and Data Monitoring
Information technology is an integral part of people’s daily lives, significantly influencing how data is collected, classified, and analyzed. In recent years, we have witnessed the emergence of advanced technologies such as machine learning and artificial intelligence. These technologies aim to improve the efficiency of decision-making processes across various fields. For instance, algorithms like XGBoost are used in the classification of medical data, including the early diagnosis of diabetes.
Relying on a model like XGBoost helps manage large and complex data by enabling multi-dimensional analysis. This model is among the most effective tools that contribute to enhancing the accuracy of predictions due to its dynamic adaptation to changing data. By using techniques such as data planetary optimization, researchers can fine-tune the model to fit the distinctive nature of the data used, thereby increasing the accuracy of predictions.
Moreover, understanding the significance of variables through simultaneously studying a range of predictive models enhances the ability to make data-driven decisions. For example, by analyzing data related to diabetes, one can better understand the impact of environmental and genetic factors, leading to the development of more effective therapeutic strategies.
Social Media and Its Impact on Public Health
Social media is considered a key platform for disseminating health information, allowing doctors, researchers, and activists to reach a wide audience. By analyzing the quality of information provided on these platforms, gaps in how the public perceives health information become evident. Short videos on platforms like TikTok and YouTube are characterized by their ability to provide engaging and easy-to-understand content, but the accuracy of this information must also be evaluated.
For instance, a study on the quality of content related to liver cancer indicated a lack of accurate information, while some considered these videos to contribute to increased awareness about the disease. These findings are controversial, as the quality of health information is critical in guiding individuals’ behaviors toward learning more about their health conditions and choosing appropriate treatments.
This indicates the importance of mechanisms to ensure the quality of health information provided through these social networks. For example, doctors and health professionals should work on developing reliable content that provides the public with the necessary knowledge about disease awareness, prevention, and treatment methods, which will contribute to improving public health outcomes. Additionally, more research is needed to understand how these videos influence user behaviors and the public perception of health.
Modern Technologies and Their Applications in Big Data
In the age of information, managing and operating big data has become one of the fundamental challenges facing institutions. This data requires advanced tools and algorithms for analysis and to maximize its benefits. This highlights the importance of technologies such as deep learning and machine learning, as they are capable of adding real value by exploring patterns and trends that may not be evident through traditional analysis.
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For example, methods such as time series analysis and data forecasting are used to provide insights into market trends. Analyzing data related to cryptocurrencies like Bitcoin is an example of how to handle large datasets to achieve accurate predictions. These processes require high precision and rely on robust models to optimize results based on big data.
Additionally, modern technologies play a pivotal role in areas such as healthcare, where they help develop models that can process much larger amounts of information than usual, leading to new discoveries, whether in research or advanced treatments. Innovative technologies, such as XGBoost, feature an algorithmic structure that allows for fast and efficient data analysis, making it the preferred choice among researchers in various fields.
The Role of Social Media in Health Awareness
Social media plays a distinctive role in health awareness, especially with the rise of smartphone and internet usage. Drawing from platforms like TikTok and YouTube, many health campaigns take advantage of the power of visual content to attract audience attention. Despite all these possibilities, this type of media requires great caution to ensure accurate information is provided.
For instance, it is crucial for health professionals to collaborate with content creators to ensure the quality and accuracy of the information presented. There is a need for further studies to understand how the audience responds to this information and potential gaps in knowledge. The urgent necessity to develop effective strategies for disseminating health information makes relying on these platforms invaluable tools, while also requiring close monitoring.
Some studies have shown that the positive impact of social media on health awareness can be linked to higher rates of screening and participation in health programs. Therefore, it is important to seize these opportunities to enhance interaction with the audience and guide them towards accurate knowledge. For example, experiences show that treatment or prevention waves receive a conscious response from the audience when expressed through enhanced visual and audio media, encouraging the adoption of healthy behaviors.
Source link: https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2024.1404038/full
Artificial intelligence was utilized ezycontent
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