Types Of Video Content Research Articles

YouTube Videos Provide Low-Quality Educational Content About the Anterolateral Ligament of the Knee

PurposeThe purpose of the current study is to evaluate the reliability and quality of the educational content of YouTube videos about anterolateral ligament (ALL). MethodsA standard search was performed on the YouTube database. All English-language videos were included for analysis. Video reliability was assessed with the use of the DISCERN tool, the Journal of American Medical Association (JAMA) benchmark criteria, and the Global Quality Score (GQS). Data regarding the duration of the videos, the date of publication, and the number of likes and views were collected. Furthermore, videos were categorized based on video source (health professionals, company, private user), the type of information (surgical technique, overview, anatomy, radiology and patient experience) and video content (education, patient experience/testimony). ResultsA total of 94 videos were included in the analysis. Eighty-eight (93.6%) videos were published by health professionals, while 4 (4.3%) were published by companies and 2 (2.1%) were published by private users. Most of the videos were about surgical technique (57.4%), and almost all the videos (98.9%) had an educational aim except one that reported a patient experience (1.1%). The mean length of the videos was 648.4±973.5 seconds, and the mean online period was 34.5±27.0 months. The mean DISCERN score, JAMA score and GQS were 32.9±15.9, 1.5±0.9 and 2.3±1.0, respectively. Videos that provided an overview of the ALL were the best in terms of all quality scores and were significantly higher quality than videos about surgical technique and anatomy, radiology and patient experience for all the scores (p<0.001). No difference was found between surgical technique and anatomy, radiology and patient experience (DISCERN score p>0.99; JAMA score: p=0.839; GQS: p>0.99). ConclusionsThe educational content of YouTube videos about the anterolateral ligament of the knee showed low quality and validity based on the DISCERN, JAMA and GQS scores.

Quality Assessment of YouTube Videos As Information Source for Breast Self-Examination.

Introduction Breast self-examination (BSE) is essential for early detection of breast cancer to lower the disease's morbidity and death rate. Education about the proper application reinforces its effectiveness. YouTube is an emerging modality for education distribution. Thus, we aimed to evaluate the quality and reliability of BSE videos on YouTube. Materials and methods A web search of YouTube was conducted using the term "breast self-examination". The first 50 relevant videos found through this search were compiled and evaluated. Video reliability was evaluated by applying benchmark criteria from the Journal of the American Medical Association (JAMA). The educational quality of the videos was evaluated using the Global Quality Score (GQS) and the guidelines' comprehensiveness score for BSE-specific instructions. Results The mean number of views was 311,625.9. Medical sources were the most common upload sources, which were found in 60% of the analyzed videos (30 videos), while examination demonstration was the most common type of video content (33 videos, 66%), followed by examination information (15 videos, 30%). However, a significant association was found between videos containing both examination information and demonstration and better educational quality. Regarding video reliability, 34% of videos (17 videos) scored 0, and only 2% (one video) scored four. According to the GQS, only 8% (four videos) were of excellent quality, while the majority (20 videos, 40%)were of suboptimal quality. Based on the BSE comprehensiveness score, the mean score was seven out of nine. Conclusions Videos containing examination information and demonstrations showed the best educational quality. Although most of the YouTube videos of BSE showed a high comprehensiveness score for BSE-specific instructions, their JAMA reliability and GQS scores were poor.

Dampak Konten Bertema Psikologi Dalam Media Sosial TikTok Terhadap Fenomena Self Diagnose Pada Generasi Z

The rapid advancement of technology in the era of globalization has been accompanied by the emergence of various social media, one of which is TikTok social media. TikTok is a social platform focused on music videos that was first introduced in September 2016. Currently, 76% of TikTok users are dominated by generation Z. All types of video content on TikTok include psychology-themed content, which can lead to the phenomenon of self-diagnosis after viewing the content. The purpose of this study is to determine the impact of psychology-themed content in TikTok social media on generation Z. This research uses a qualitative descriptive approach method. The results of this study indicate that the phenomenon of self-diagnosis has an impact experienced by the subject, such as the subject experiencing interference in carrying out daily activities, the subject will search for additional information related to the symptoms experienced through digital media, the subject feels that his energy has decreased, the subject experiences a decrease in mood, and is easily emotional. In addition, in this study, researchers found that the phenomenon of self-diagnosis has a positive impact, namely the subject after doing self-diagnosis feels more empathetic with other individuals. The findings of this study are expected to not only enrich the academic literature, but can provide insight for generation Z to be more selective in choosing psychology-themed content, so as not to create a tendency to self-diagnose.

디지털 영상 합성촬영 방법의 차이와 활용에 따른 영상 콘텐츠 분류의 목적과 방향성에 대한 고찰

This study aims to classify and define video content according to composite shooting methods to minimize confusion becauseXR and virtual production are used interchangeably in video content production sites without a distinction of terms.XR Studio (or Stage)—a video compositing system that combines the physical reality world with the digital virtual world—and Virtual Production are video compositing technologies that use the same software, rendering technology, real-time engines, and media technology systems that are synchronized to the LED wall. Communication at the video content production site is therefore unclear. Although XR Studio and Virtual Production are connected and may use some of the same technologies, they are ultimately separate entities. XR Studio and Virtual Production should be used separately,depending on the type of video content being produced. This study examines the similarities and differences in the technical approaches of XR and virtual production systems and presents a classification of video content according to the use of XR and virtual production.

On Task and in Sync: Examining the Relationship between Gaze Synchrony and Self-reported Attention During Video Lecture Learning

Successful learning depends on learners' ability to sustain attention, which is particularly challenging in online education due to limited teacher interaction. A potential indicator for attention is gaze synchrony, demonstrating predictive power for learning achievements in video-based learning in controlled experiments focusing on manipulating attention. This study (N=84) examines the relationship between gaze synchronization and self-reported attention of learners, using experience sampling, during realistic online video learning. Gaze synchrony was assessed through Kullback-Leibler Divergence of gaze density maps and MultiMatch algorithm scanpath comparisons. Results indicated significantly higher gaze synchronization in attentive participants for both measures and self-reported attention significantly predicted post-test scores. In contrast, synchrony measures did not correlate with learning outcomes. While supporting the hypothesis that attentive learners exhibit similar eye movements, the direct use of synchrony as an attention indicator poses challenges, requiring further research on the interplay of attention, gaze synchrony, and video content type.

Video Summarization for Marathi Language

The Video Summarization Platform using Python Flask is a comprehensive tool designed to summarize Marathi and English videos while providing summaries in Hindi, Marathi, and English languages. Leveraging machine learning and natural language processing (NLP) techniques, this platform offers a sophisticated solution for efficiently extracting key information from videos. The platform begins by transcribing the audio content of the video into text using automatic speech recognition (ASR) technology. This transcription process ensures that the platform can accurately analyze and summarize the video's content. Next, the text is translated into the target languages, namely Hindi, Marathi, and English, enabling users from diverse linguistic backgrounds to access the summarized content. To generate concise and informative summaries, advanced NLP algorithm is applied. This algorithm analyze the transcribed text to identify the most significant phrases, sentences, and concepts. By considering factors such as keyword frequency, semantic relevance, and context, the platform effectively distils the video's content into digestible summaries. Additionally, machine learning models are employed to classify the type of video content. These models are trained on diverse datasets encompassing various video genres and topics. By recognizing patterns and features within the video content, the platform can accurately categorize videos into distinct types, such as news, interviews, tutorials, or entertainment. The platform's user interface, powered by Python Flask, offers a seamless experience for users to upload videos, select their preferred language for summarization, and receive concise summaries in their chosen languages. The intuitive design ensures accessibility and ease of use, catering to both novice and advanced users. Overall, the Video Summarization Platform serves as a valuable resource for individuals seeking efficient ways to consume multimedia content. Whether for educational, informational, or entertainment purposes, this platform empowers users to access summarized video content in multiple languages, facilitated by cutting-edge machine learning and NLP technologies. Key Words: Transcription, Marathi-speaking users, Marathi YouTube videos, video content, transcription, summary, translation, Natural Language Toolkit (NLTK), content comprehension, user interaction data, past summaries, recommendation

Quality and Reliability Analysis of YouTube as a Source for Patient Education on Dupuytren’s Contracture

This study seeks to assess the quality and reliability of YouTube videos on Dupuytren's contracture. The first 50 unique videos on Dupuytren's contracture were evaluated by searching YouTube for Dupuytren's contracture. Video metrics, source, and content type were recorded. Video reliability was assessed using the Journal of American Medical Association (JAMA) Benchmark criteria. Video educational quality was assessed using the Global Quality Score (GQS) and a Dupuytren's Contracture-Specific Score (DC-SS). The total number of views for all 50 videos evaluated was 1,908,608 (mean, 38,172.16 ± 5,502.45 views). The mean reliability (JAMA) score was 2.21 ± 0.69 (range 0-4), the mean educational quality (GQS)score was 2.80 ± 1.28 (range 1-5), and the mean disease-specific (DC-SS) score was 6.05 ± 2.17 (range 0-15). Nonphysician health care professionals had the most popular videos, but the lowest DC-SS. GQS varied based on the video source, with physician-uploaded videos having the highest average quality scores. Physician source was an independent positive predictor of higher quality (GQS) (β= 0.477). Videos on Dupuytren's contracture were frequently viewed on YouTube but had overall low educational quality and reliability. Of the videos that discussed collagenase as a treatment option, 40% failed to mention percutaneous needle aponeurotomy. Patients may be exposed to an incomplete set of treatment options. Educational content on YouTube should be interpreted cautiously and proper in-office education and high-quality resources for Dupuytren's contracture should be provided by physicians. Therapeutic IV.

Inside out. Social media videos and destination branding. Neuromarketing using EEG technique

PurposeThis study aims to investigate the effectiveness of two types of social media videos used for destination image development: induced/commercial-oriented content and organic content (where content is made without commercial interest, such as vlogs classified as user-generated content).Design/methodology/approachExperimental research using “Emotive EEG” (electroencephalogram) in a controlled environment was conducted with 30 participants (20 males, 10 females), age range 18 to 26. Emotive EEG recording was performed while the participants watched both types of video clips. Test results for both groups indicate that induced content is preferred over organic content.FindingsThis study opens up future research avenues where neuromarketing’s “Marketer Friendly” EEG equipment can be applied to the customer selection process.Originality/valueMarketing analysts can gauge the interest and response of customers on different types of social media video content for destination marketing based on the findings of this study.

Commenting on local politics: An analysis of YouTube video comments for local government videos

This study compares the content of transcripts of videos uploaded by local governments with the comments on those videos, utilizing three transformer-model-based techniques: summarization of the discourse content of video transcripts, topic modeling of summarized transcripts, and sentiment analysis of transcripts and of comments. The analysis shows that some types of video content, for example those dealing with music or education, are more likely to attract positive comments than content related to policing or government meetings. In addition to their potential relevance for local government outreach, the study may represent a viable exploratory method for comparison of online video content and written comments in the context of computational social science analyses of user interaction and commenting behavior.

Introduction of e-commerce elements in the management of modern universities

The use of e-commerce tools enables universities to make the educational process more accessible and convenient, as well as enhance their efficiency and competitiveness. The main tools include a website, online courses, various types of video content, cloud services for collaborative work among university staff, CRM resources, ERP resources, and mobile platforms.

Advancing Video Search Capabilities: Integrating Feedforward Neural Networks for Efficient Fragment-Based Retrieval

In the context of rapidly increasing volumes of video data, the problem of their efficient search and analysis becomes more acute. This research aims to develop and test an innovative system to improve the speed and accuracy of video search, utilizing the capabilities of Deep Convolutional Neural Networks (DCNN) and Feedforward Neural Networks (FFNN). Within the methodology developed for this study, video data are processed through several sequential stages: from feature extraction to key frame identification and the formation of an abstract vector representation. Deep Convolutional Neural Networks are central to the system for image analysis and Feedforward Neural Networks for optimizing the search process. The main results of the study include an increase in video search efficiency by reducing data processing time and increasing the accuracy of identifying relevant fragments. The originality of the work lies in the integration of two types of neural networks for structured analysis of video data, which is a new step in the development of video search technologies. The practical significance of the research is expressed in the possibility of applying the developed system in various areas where fast and accurate video search is needed: from the media industry to security systems. The scope of further research includes adapting the system to specific types of video content and expanding the capabilities of artificial intelligence for a deeper understanding of video data.

지방정부 ‘SNS 숏폼’의 타이틀 콘셉트와 영상 콘셉트에 관한 상관관계 연구

This study was conducted to investigate the promotion and production strategies of local government SNS short-form content. To do so, we examined the correlation between the title and video concept of 'ChungTV,' which has the largest subscriber base among local government short-form platforms, and presented strategies for the production and promotion of local government short-form content. We chose content analysis as the research method. Through various production formats such as reenactment of government officials' daily lives, parody, experiments, vlogs, and interviews, ChungTV effectively promoted themes such as 'local special laws,' 'energy conservation,' 'investment attraction,' 'COVID-19 prevention and testing,' 'local tourism activation,' 'dialogue with residents,' and 'election interviews.' Based on this correlation analysis, we categorized ChungTV's short-form content production strategy into four categories: '① Comic presentation, ② Enhancement of entertainment, ③ Resolution of curiosity, ④ Generation of interest.' In future research, it appears necessary to conduct a comprehensive study that encompasses factors such as types of video content, content creators, editing, subtitles, subscriber numbers, and content metrics (likes, dislikes, comments).

Enhancing QoE predictions with complex neural networks and diverse datasets

Quality of Experience (QoE) is a critical aspect of multimedia applications, which directly impacts user satisfaction and adoption. QoE predictions are used to optimize various parameters such as video quality, bitrate, and network bandwidth to enhance the user experience. However, accurate QoE prediction is a challenging task, as it involves various factors such as network conditions, video content, and user preferences. Therefore, there is a need for enhancing QoE predictions with advanced techniques to improve user satisfaction and adoption. This paper proposes incorporating more complex neural network architectures and using more diverse datasets to improve the accuracy and generalization of Quality of Experience (QoE) predictions. The paper suggests experimenting with more advanced architectures such as convolutional neural networks and recurrent neural networks, which have been shown to be effective in various applications. Additionally, the paper highlights the limitation of using a single dataset and proposes using more diverse datasets that capture different types of video content and network conditions. Enhancing QoE predictions with complex neural networks and diverse datasets include improved accuracy, better generalization, more sophisticated models, enhanced user satisfaction and increased adoption. These enhancements are expected to lead to more accurate and reliable QoE predictions, which are crucial for improving user experience in multimedia applications.

Culture Shock of the Covid-19 on TikTok: Users Taste Shift for Video Content in China

The Covid-19 pandemic has had a global impact and served as an economic and cultural shock. In 2022, Shanghai was in an entire lockdown for two months due to quarantine policies adopted by China to prevent the pandemic from spreading. During this period, social media became a crucial part of peoples lives, used for communication, entertainment, and receiving news. This article investigates the post-pandemic effect of Covid-19 on social media by conducting a study using customized surveys to examine users preference shift of video content on TikTok, Chinas most popular short-video social platform. The study found a correlation between TikTok users preference shift for short video content and the Covid-19 pandemic in China. The participants were divided into social groups based on age, gender, and occupation, but the study did not find any significant differences in their responses to this correlation. There were high shifts in taste for video content related to the Covid-19 pandemic, such as health news and indoor exercise. The study shows that shifts in the purpose of using social media are significant when experiencing a cultural shock. Users often respond to cultural shock by switching to certain types of video content. Future scholars studying media psychology and exploring the elements that shift consumers gratification and purposes of using social media can benefit from this article.

Influence of video content type on the usefulness of reinforcement learning algorithms in DASH systems

The article presents the result of research on DASH (Dynamic Adaptive Streaming over HTTP) systems. In the proposed solution, the adaptive algorithm is based on the RL (Reinforcement Learning) paradigm. The Pensieve algorithm was chosen as the basis for the tests. This algorithm is widely discussed in the scientific literature and therefore the study and analysis of its properties is useful in a wide range of solutions using DASH. The main contribution of the presented test results to the development of knowledge on video streaming services consists in the analysis of the impact of the characteristics of video materials on the effectiveness of the adaptation process implemented by the developed RL model. The presented results show that this influence should not be omitted in any in-depth analyses of the characteristics of DASH systems.

The Use of TikTok as Japanese Learning Media

In this technological era, social media has an important role in all fields. Various types of social media are used by the public, one of which is TikTok. TikTok's diverse video content provides benefits for its users. One type of video content that can be found on TikTok is learning video content that can be used as an alternative learning resource or learning media. One of the many learning video content found on TikTok is language learning video content. For example, Japanese language learning video content. The learning video content needs to be sorted first so that its use can be maximized. For this reason, this study aims to determine the type of learning and the level of Japanese language profiency contained in the Japanese language learning video content on TikTok. The method used in this study is a qualitative descriptive method which is providing detailed and factual data interpretation. Based on the research, there are 7 types of Japanese language learning (Aisatsu, Bunka, Bunpou, Goi, Kaiwa, Linguistics, and Moji) that can be found on TikTok video content. Meanwhile, the level of Japanese language proficiency that be found is level A1 to level B2 and level N5 to level N1.

Research on the Social Promotion of Animal Protection Concept in the Self-media Environment

Based on previous research, this study integrates and summarises the roles of existing animal video publishers and the main contents of their videos in a self-media environment, and discusses the focus of the videos produced under different production motives on the dissemination of animal protection concepts, explores the social benefits of the videos in promoting the cause of animal protection, and seeks a more suitable development and promotion method for the promotion of animal protection concepts in the self-media era. The video is a more suitable direction and way to promote animal protection. Video on the self-media platform has a more personalised and non-compulsory nature than traditional mass media. Due to their different roles, different video publishers have different motives for producing videos, such as expressing their opinions and hobbies, promoting their organisations or seeking help, or promoting the cause of animal protection. The content of the videos corresponds to the identity of the video publisher. Individual publishers tend to share their daily life or express their opinions, so their videos are often more interesting and less professional, which is conducive to wide distribution on the platform. Group publishers are usually more polished but more commercial in nature. Organisational publishers often produce videos to promote their organisation or seek help, while official publishers such as NGOs tend to be more pure and professional in promoting ideas and popularising science. Depending on the type of video content, videos on animal topics on self-publishing platforms have had different impacts on society, such as creating an atmosphere for animal protection, creating public opinion to fight for animal rights, and conveying animal protection ideas and related knowledge. The closed loop between the identity of the publisher of the animal video, the content and motivation of the video and the social impact helps to achieve a more comprehensive and personalised dissemination and popularisation of animal protection ideas on the less well-planned and less structured self media platforms.

Which type of tourism short video content inspires potential tourists to travel.

While user-generated short videos have become very common in tourism marketing, how they affect potential tourists' decisions has not been discussed academically. Based on the customer inspiration theory, this study explored the effects of different tourism short video contents on potential tourists' travel intentions, as well as the mediating effect of customer inspiration and the moderating effect of consumption orientation through three experiments. The following conclusions were drawn. (1) Tourism short videos significantly increased potential tourists' customer inspiration and travel intention; (2) The customer inspirations ("inspired-by" and "inspired-to") chain-mediated the relationship between tourism short videos and potential tourists' travel intentions; (3) Consumption orientation positively moderated the chained mediation effect above, and the chained mediation effect of tourism short videos on the travel intentions of tourists with hedonistic motivations through inspire-by and inspire-to is stronger than that of tourists with utilitarian motivations. The above findings could help expand the perspective of tourism short video research and provide suggestions for tourism business managers to apply short video content to marketing.

COVID-19 Information on YouTube: Analysis of Quality and Reliability of Videos in Eleven Widely Spoken Languages across Africa.

Whilst the coronavirus disease 2019 (COVID-19) vaccination rollout is well underway, there is a concern in Africa where less than 2% of global vaccinations have occurred. In the absence of herd immunity, health promotion remains essential. YouTube has been widely utilised as a source of medical information in previous outbreaks and pandemics. There are limited data on COVID-19 information on YouTube videos, especially in languages widely spoken in Africa. This study investigated the quality and reliability of such videos. Medical information related to COVID-19 was analysed in 11 languages (English, isiZulu, isiXhosa, Afrikaans, Nigerian Pidgin, Hausa, Twi, Arabic, Amharic, French, and Swahili). Cohen's Kappa was used to measure inter-rater reliability. A total of 562 videos were analysed. Viewer interaction metrics and video characteristics, source, and content type were collected. Quality was evaluated using the Medical Information Content Index (MICI) scale and reliability was evaluated by the modified DISCERN tool. Kappa coefficient of agreement for all languages was p < 0.01. Informative videos (471/562, 83.8%) accounted for the majority, whilst misleading videos (12/562, 2.13%) were minimal. Independent users (246/562, 43.8%) were the predominant source type. Transmission of information (477/562 videos, 84.9%) was most prevalent, whilst content covering screening or testing was reported in less than a third of all videos. The mean total MICI score was 5.75/5 (SD 4.25) and the mean total DISCERN score was 3.01/5 (SD 1.11). YouTube is an invaluable, easily accessible resource for information dissemination during health emergencies. Misleading videos are often a concern; however, our study found a negligible proportion. Whilst most videos were fairly reliable, the quality of videos was poor, especially noting a dearth of information covering screening or testing. Governments, academic institutions, and healthcare workers must harness the capability of digital platforms, such as YouTube to contain the spread of misinformation.

The Research on the Ways of Chinese Social Media Bloggers Promoting the Spread of Hanfu Culture in China - The Case of Blogger Si Yue

This paper studies how Si Yue, as a Hanfu blogger, promotes the spread of Hanfu culture in the era of rapid development of social media. The research of this paper shows how bloggers use social media to output content to achieve the purpose of traditional culture transmission, which has a very important impact on the re-attention of ancient culture in the new Internet era. Through observation and analysis of the Douyin account of Si Yue, a well-known Hanfu blogger, it is found that the high quality of short video content and different types of content will make the audience have a sense of empathy. The success of combining traditional culture with new culture and the popularity of communication media have a very positive impact on the spread of Hanfu culture, although some negative effects are also included. For example, Hanfu culture has been abused by unscrupulous merchants to make profits. Cultural communication, social media, traditional Chinese culture, short videos.