Video Creators Research Articles

YouTube as a source of information regarding the effect of vitamin C on coronavirus disease

ObjectivesWith the expansion of the internet, social media platforms have become a major source of medical information. However, medical information on online multimedia platforms is often inaccurate. In the current study, we evaluated the reliability, quality, and accuracy of the most viewed YouTube videos featuring the effects of vitamin C on COVID-19. MethodsA search was conducted on YouTube on January 13, 2022, using the keywords ("ascorbic acid" OR "vitamin C" OR "sodium ascorbate" OR "L-ascorbic") AND ("coronavirus" OR "COVID 19" OR "COVID-19" OR "Corona" OR "COVID" OR "SARSCoV2"). We assessed the 50 most-viewed videos using a modified DISCERN scale (mDISCERN) and Global Quality Scale (GQS). Additionally, the accuracy of the information in each video was evaluated. ResultsOut of the 50 most-viewed videos featuring the effect of vitamin C on COVID-19, 54% were not reliable. Furthermore, 62% presented poor quality, and 74% were misleading or neither accurate nor misleading. The average mDISCERN and GQS scores of the 50 included videos were 2.2 ± 1.4 (≥ 3: highly reliable) and 2.2 ± 1.1 (2: generally poor), respectively. Although the videos were made by medical doctors, their reliability, quality, and accuracy were not significantly different from those displayed in other sources, including fitness channels, television or internet-based news or programs, consumers, company channels, product advertisements, or prepared by nurses. ConclusionsThe reliability, quality, and accuracy of the 50 most-viewed videos on the effect of vitamin C on COVID-19 were not high. Video creators, especially medical doctors, should make an effort so that the videos present reliable content with high-quality and correct information is disseminated to people.

TikTok and Attention-Deficit/Hyperactivity Disorder: A Cross-Sectional Study of Social Media Content Quality.

Social media platforms are increasingly being used to disseminate mental health information online. User-generated content about attention-deficit/hyperactivity disorder (ADHD) is one of the most popular health topics on the video-sharing social media platform TikTok. We sought to investigate the quality of TikTok videos about ADHD. The top 100 most popular videos about ADHD uploaded by TikTok video creators were classified as misleading, useful, or personal experience. Descriptive and quantitative characteristics of the videos were obtained. The Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-A/V) and Journal of American Medical Association (JAMA) benchmark criteria were used to assess the overall quality, understandability, and actionability of the videos. Of the 100 videos meeting inclusion criteria, 52% (n = 52) were classified as misleading, 27% (n = 27) as personal experience, and 21% (n = 21) as useful. Classification agreement between clinician ratings was 86% (kappa statistic of 0.7766). Videos on the platform were highly understandable by viewers but had low actionability. Non-healthcare providers uploaded the majority of misleading videos. Healthcare providers uploaded higher quality and more useful videos, compared to non-healthcare providers. Approximately half of the analyzed TikTok videos about ADHD were misleading. Clinicians should be aware of the widespread dissemination of health misinformation on social media platforms and its potential impact on clinical care.

Analysis of the Communication Problems and Solutions of Short Videos of Traditional Chinese Medicine Culture from the Perspective of Video Creators

Traditional Chinese medicine is the traditional medicine of the Chinese nation and the quintessence of China. It carries the experience and theories of the ancient Chinese people's struggle against diseases. It is a medical theoretical system gradually formed and developed through long-term medical practice under the guidance of ancient simple materialism and spontaneous dialectical thinking. With the continuous development of self-media, it has opened up new paths for the new dissemination of traditional Chinese medicine culture. At the same time, it also faces many challenges, such as insufficient professional short video content, single video format, and too many marketing implants. Therefore, by discussing the current situation and predicament of TCM cultural dissemination on short video platforms, this paper draws three solutions from the perspective of video creators to enhance the sense of responsibility of TCM practitioners, strengthen the role of “gatekeepers” on video platforms, and diversify video formats. It is possible to obtain the method of breaking the situation and improve the quality and level of Chinese medicine culture of the masses.

Research on the Core Competitiveness of Short Video Industry in the Context of Big Data—A Case Study of Tiktok of Bytedance Company

Recently, with the development of artificial intelligence technology and the arrival of the 5G era, the short video industry has boomed. A number of enterprises have entered the short video industry. However, only with their own core competitiveness, enterprises can establish competitive advantages in the market to achieve sustainable development. Therefore, the core competitiveness has always been a topic of concern for many domestic managers. This paper takes Tiktok industry chain of Bytedance as an example to help it become a benchmark in the industry from four aspects of core competitiveness, including innovative technology, innovative talents, excellent corporate culture and brand influence. First of all, the author analyzed the current situation of Tiktok by using SWOT-PEST model through literature research method, and analyzed the opinions of video creators and users by questionnaire survey and interview. By combining qualitative and quantitative research methods, the author concluded four major problems currently existing in Tiktok. Then, the author solved four problems by combining the relevant theoretical knowledge and the four aspects of core competitiveness. In the end, based on the idea of “learning from the superior and excellence; emulating it and finally surmounting it”, the author put forward some useful experiences and inspirations for enterprises developing short video platforms. Other industrial chains within Bytedance and other short video companies in China should also analyze their own actual conditions and strive to cultivate core competitiveness suitable for their own development, so as to remain invincible in the fierce market competition.

An Assessment of Upper-Extremity Surgical Technique Videos and Their Relationship With Procedural Learning Theory

Our purpose was to ascertain how well award-winning and highly viewed upper-extremity surgical videos meet the needs of users and adhere to procedural learning theory. We hypothesized that upper-extremity videos hosted on academic society websites meet user needs better than upper-extremity videos hosted on a commercial website. Twenty-five upper-extremity videos were evaluated by 3 reviewers. A standardized scoring sheet was used to assess each video's content, production quality, and adequacy. Video lengths were compared. The inclusion frequencies of specific content categories, the adequacy of content, and meeting certain production standards, all of which assess consistency with procedural learning theory, were reported, stratified by video host. Associations between the video host and video content, production quality, and adequacy were assessed. The median lengths of academically hosted and commercially hosted videos were similar. Regardless of the video host, no video contained information in all content categories. Sixty percent of the scored categories were present in less than 75% of evaluated videos. Academically hosted videos contained scored content more frequently than commercially hosted videos in 68.4% of categories. There were significant associations between academic hosts and inclusion of a case presentation, surgical indications, outcomes literature, a preoperative examination, follow-up visit intervals, and alternative surgical techniques. Overall, academically hosted videos had a higher percentage of adequate content categories compared with commercially hosted videos. Videos on academic websites more consistently meet users' content needs and production expectations, as informed by procedural learning theory, while having higher rates of adequate content compared with videos on commercial websites. While academically hosted videos appear to more consistently adhere to the tenets of procedural learning theory, opportunity exists for video creators to more consistently apply procedural learning theory, allowing for the creation of even more educationally beneficial online surgical videos.

“Completely impartial opinion, okay?”

Abstract Sponsorships on YouTube – i.e., video creators on YouTube promoting a third-party product or service to their audience – have attracted considerable research interest recently in various disciplines. This multidisciplinary study analyzes it from the perspective of argumentation theory, specifically pragma-dialectics, which offers valuable new insights into the discursive tensions inherent to this type of promotion. These tensions arise between the creator’s relationship with their audience on the one hand, which is built upon ‘parasocial’ evaluations of authenticity and community, and the commercial third party brand on the other. The insights provided by the pragma-dialectic analysis are demonstrated by means of a case study examining a sponsorship segment by YouTuber PewDiePie, which shows that creators can employ specific types of presentational choices and audience adaptation strategically to undercut commitment to the sponsor while furthering the relationship with their viewers.

Intentional ad-viewing to support video creators on digital video-sharing platforms

ABSTRACT This study explored intentional ad-viewing on digital video-sharing platforms and focused on a novel type of ad-viewing behavior to support video creators. In-depth interviews with 20 YouTube users discovered the unique phenomenon of intentional ad-viewing to support creators, which seemed particularly prominent among younger consumers. A desire to express gratitude to the video creators, as well as intrinsic and extrinsic helping motives based upon empathy and reciprocity appeared to determine intentional ad-viewing largely. Perceptions of different video creators, parasocial relationships with them, and knowledge of the ad-revenue-sharing model were identified as factors that influenced the behavior examined.

Aplikasi Snack Video dalam Perspektif Hukum Islam

One of the most popular applications recently is Snack Video, an application that offers users income by watching videos, checking in, and inviting new friends to use the application. In Islamic law, muamalah does not only follow the pillars and conditions of the contract but the principles of muamalah must also be considered so that the implementation of the contract is valid and in accordance with sharia. If it is categorized in a muamalah contract, getting money from the Snack Video application is like a competition in Islam called ju'alah, in its use this application has not been legally confirmed in accordance with the ju'alah contract. This research will reveal how to earn money through the Snack Video application and how to analyze contracts and muamalah principles in the Snack Video application. The field research conducted online with Snack Video users was selected using a case study approach through sampling methods from various places in the Barito Kuala district. Data was collected by using interviews, observation, and documentation techniques. The results of this study conclude: first, to earn money from the Snack Video application, users are directed to carry out missions to watch videos, check in, and invite friends. From successful missions, the user will be rewarded with coins that can be exchanged for money. Second, analysis of the contract and muamalah principles in the Snack Video application, the mission in the Snack Video application such as competitions in the muamalah contract is called ju'alah which may be used as a means of making money, provided that the mission carried out does not conflict with Islamic law, the principles muamalah and does not cause harm or immorality. The income obtained from watching the Snack Video application becomes makruh and can even become haram if accompanied by activities that can reduce the value of maqashid sharia on the daruriyyat element, namely hifdz al-mal, protecting property from vanity elements Giving appreciation to content video creators is the same as grants.

Teacher-Made YouTube Videos in Online EFL Classes: Non-English Department Students’ Perceptions and Practices

This research aims to seek answers on the students’ perceptions towards teacher-made YouTube videos for learning English online and how do they take advantage of the videos. Eight non-English department students were invited to become participants and they voluntarily accepted the invitation. Data were garnered through written reflections. It was then continued by three rounds of semi-structured focus group discussion. Coding was performed to analyze the data and done thrice at different times to ensure the credibility of the results. The results indicate the students’ general and detailed perceptions on the use of teacher-made YouTube videos which are very fruitful. The findings also show how the students use and take advantage of the videos and some difficulties they encounter. It implies that the student's perceptions and how they use and take advantage of the videos should be considered by EFL video creators in the future, including EFL teachers. Future researches may apply different methods, contexts, and participants.

Self-removal of long-acting reversible contraception: A content analysis of YouTube videos

ObjectiveTo explore publicly available information about the self-removal of long-acting reversible contraception (LARC) on a popular video-sharing website. Study designWe conducted a comprehensive keyword search of YouTube videos related to self-removal of LARC—namely intrauterine devices and implants. We analyzed video content to explore demographic characteristics, method and duration of LARC use, and motivations and experiences of self-removal. ResultsOur keyword search identified 58 videos that met the criteria for inclusion, including 48 videos that featured individuals who removed an intrauterine device and 10 who removed an implant. Collectively, videos had over 4 million views. We identified most video creators as white (53%), 31% as Black, and 14% as Latinx. Users were motivated to remove their own device by both preferences and barriers to formal care. Most individuals in our sample (n = 56/58) successfully removed their device and described their experience in positive terms related to the ease of removal. Reasons for LARC discontinuation included negative side effects, fear of potential side effects, and desire for pregnancy. ConclusionThis study builds upon prior research by describing publicly available information about LARC self-removal. The over representation of Black women in our sample may reflect a higher prevalence of LARC self-removal among this population. Positive experiences of self-removal and high levels of viewer engagement with online videos suggest a need for provider counseling on LARC removal at the time of insertion. ImplicationsPrior to LARC insertion, patients should be made aware of any financial requirements for discontinuation. Provider counseling for self-removal at the time of insertion will likely minimize health risks and affirm patient reproductive autonomy.

Making Project Team Recommendations from Online Information Sources

We are developing an Internet platform called MediaTeam that provides a marketplace connecting media content consumers to communities of media content creators. The platform is enabled by our method for automated assembly of virtual project teams. Media creators use the automated team assembler to quickly identify and team with collaborators. The team assembly platform factors in how the skills, work, and communication styles of team members complement each other into its team recommendation process. We are now testing the teaming and collaboration platforms with video creators and seek to launch by the summer.

Media literacy in video production: An experiment with university students

This article describes an experimental academic e-course during the Covid-19 pandemic, in which 178 undergraduate students were asked to become video creators and narrators through a specific methodology in order to become digitally literate and produce original content.This practical e-workshop took place in the context of the “Video, Image and Audio Editing” course of the Department of Communication, Media and Culture at Panteion University and was adapted to the needs of a distance learning course. Its main aim was the students’ familiarization with literacy in digital tools and techniques that until now was only achieved in an actual laboratory setting. The research is divided into two phases. The first phase concerns this article and analyzes the methodology of video production as well as the students’ acquisition of digital tools. In the second phase, specific factors will be studied, from the videos produced, through qualitative research so as to determine the audience’s interaction with the narrative content, as well as with the factors that students believe contributed to the interaction of that content.Students gained knowledge of digital video tools which was upgraded to the capabilities and needs of each student. They acquired video editing skills based on the content through a specific theme and a theme of each group student’s choice. Students increased their literacy skills in both digital media and video projection on social media and gained knowledge concerning the interaction that was encouraged through these mediums. In this laboratory course, a specific methodology was used that included pre-production, production and post-production. The final product included two videos, the first with a specific theme and the second with a theme of each group student’s choice.

Identifying Student Responsibilities While Watching Mathematics Instructional Videos

This study investigated the ways in which college algebra students watch mathematics instructional videos about completing the square with the goal of identifying student responsibilities within a particular video and across different videos. Guided by the theory of didactic situations that have defined implicit teacher and student responsibilities within the context of the face-to-face mathematics classroom, participants watched three different videos about completing the square and answered interview questions. Using categories previously identified by the didactic contract for the face-to-face classroom, this study expanded the types of student responsibilities identified specifically for video watching and found that participants, regardless of overall prior knowledge but who had prior knowledge of completing the square, held a responsibility to use the specific set of steps they were taught by their teacher to solve problems. Findings may be useful to both mathematics teachers and video creators.

Luxury haul video creators' nonverbal communication and viewer intention to subscribe on YouTube

In this study we used luxury haul videos (LHVs) on YouTube to explore how creators' nonverbal communication cues encourage viewers to subscribe to certain channels and to purchase the luxury goods introduced in the videos. Participants were 337 Korean women who completed a survey in which they rated the nonverbal communication of the creators. The results demonstrate that kinesics and paralanguage were important nonverbal communication factors affecting viewers' perception of content attributes. Creators' physical appearance was found to be relatively less important. We also found that perceived entertainment quality and perceived credibility of the content were important factors related to viewers' intention to subscribe and purchase. Our results reveal the nonverbal communication characteristics that LHV creators need to develop to be successful, and what viewers expect from the LHVs.

O sentido de companhia nos vídeos de reação

Adressing the YouTube reaction videos topic, this article deepens the discussions about the company matter in this kind of production. We sought to trace the relations between the resultos of an etnographic research developed during the covid-19 pandemic and the audiovisual consumption habits noticed in the social isolation context. It was demonstrated that the sense of company is recognized by rap and funk music video reaction video creators. Our findings show that the increasing audience of streaming platforms sought to meet the affective demands through shared consuption experiences mediated by digital platforms.

Experience Level Influences Users’ Interactions With and Expectations For Online Surgical Videos: A Mixed-Methods Study

Upper-extremity surgeons and trainees widely use online surgical videos, and the use of these videos can assist with procedural learning. The purpose of this study was to characterize online video use and understand the role videos play in the learning process of orthopedic residents and practicing surgeons. We hypothesized that the use of surgical videos and video content desired among orthopedic learners differs based on their experience level. Four focus groups were conducted to discuss online surgical videos and their role in the learning process of orthopedic learners. Participants were separated based on their experience level. Three reviewers qualitatively analyzed the transcripts of the focus groups using constant comparative methods to identify overarching themes and categories. Findings regarding the participants' desires for video content and production quality were translated into a survey. The survey results were analyzed to assess their associations with experience level. The focus group analysis helped identify 4 overarching themes that reflected users' interactions with videos: prewatching experience, choosing a video, video use, and video design, with the users' comments differing based on their experience level. The survey results showed that the median ideal length for a video was 10 minutes and that all users, regardless of their experience level, ranked showing the surgical procedure as the most important part of a video. Junior residents more frequently desired background information and a written outline of surgical steps, whereas more senior learners placed greater emphasis on advanced surgical decision-making and the use of particular implants/devices. Experience level influences users' interactions with videos, including how they are chosen and used, and their expectations in terms of content and production. Video creators should specify their targeted audience's experience level and adjust content to meet users' needs. Our results can provide video creators and hosts a checklist for appropriate content and production standards.

Entity-level sentiment prediction in Danmaku video interaction

Sentiment analysis in Danmaku video interaction aims at measuring public mood in respect of the video, which is helpful for the potential applications in behavioral science. Once these sentiments are discovered, this feedback can help video creators improve the video quality and greatly enhance online users’ watching experience. Predicting these entity-level sentiments is challenging because there is no publicly available dataset about entity-level sentiment analysis of Danmaku-enabled video comments. Furthermore, the targeted entity with skewed unbalance distribution in real-world scenarios, making the task more challenging, especially when the target entity only has positive (negative) emotional comments. In this case, applying previous aspect-level sentiment analysis models directly will introduce entity bias. In this paper, we propose a large-scale Chinese video comments dataset containing time-sync Danmaku comments and traditional video comments, targeting multiple entities and sentiments associated with each entity from popular video websites. We also propose a framework of entity-level sentiment analysis with two de-biasing models: hard-masking de-bias model and soft-masking de-bias model. This framework is defined by parallel neural networks to learn the representation of comments sentences. Based on the representations, our model learns a masking strategy for entity words to avoid overfitting and mitigate the bias. Our experiments on Danmaku-enabled video datasets show that the soft-masking model significantly outperforms comparable baselines, with a relative F1-score improvement of 9.33% compared to AEN-BERT and a relative F1-score improvement of 45.77% compared to Td-LSTM. Furthermore, experiments on different distribution bias of entity demonstrate that our proposed model can achieve competitive performances. The findings of this research have implications for measuring public sentiment for entities mentioned in a specific video domain. It can also be used as a benchmark dataset for aspect entity sentiment detection methods.

Challenges and opportunities to improve the accessibility of YouTube for people with visual impairments as content creators

This position paper proposes technology opportunities for supporting people with visual impairments (PVI) as content creators, rather than just content consumers. While previous studies examined accessibility issues with functions and visual content on various social media platforms, little is known about experiences of PVI beyond just watching visual content. Our recent study revealed that there is a community of video bloggers (vloggers) with visual impairments who actively produce multiple categories of video content on YouTube. From the perspective of those vloggers with visual impairments, we would like to discuss challenges and opportunities to improve the accessibility of video-based social media platforms to support those video creators with visual impairments.

Bubble storytelling with automated animation: a Brexit hashtag activism case study.

Hashtag data are common and easy to acquire. Thus, they are widely used in studies and visual data storytelling. For example, a recent story by China Central Television Europe depicts Brexit as a hashtag movement displayed on an animated bubble chart. However, creating such a story is usually laborious and tedious, because narrators have to switch between different tools and discuss with different collaborators. To reduce the burden, we develop a prototype system to help explore the bubbles’ movement by automatically inserting animations connected to the storytelling of the video creators and the interaction of viewers to those videos. We demonstrate the usability of our method through both use cases and a semi-structured user study.Graphic abstract

Design of a machine learning layer to optimize forgery detection in videos

With the advent of so many YouTubers, the number of videos uploaded to the cloud is increasing at an exponential rate. Most of the video creators take advantage of the fact, that the videos uploaded are not checked for any kind of tampering, which is due to the computational and information limit over the cloud. Due to this, there is lot of fake-like videos over the internet, which misleads the viewers into believing whatever the video creator conveys. All this leads to a lot of chaos and misunderstanding for the viewers at large. To overcome this issue, this text proposes a novel machine learning layer which is computationally efficient and uses a two-layer processing scheme for forgery detection in large scale videos. With the help of this scheme, the system pre-learns the forgery types, and keeps a large learning set ready for speedy reference, this initially static set, is then dynamically modified based on the real time videos given to the system. This two-layer scheme allows for an improved end-to-end delay for the system, without compromising on the system security. Our evaluations on the REWIND dataset show that the proposed system gives more than 95% accuracy in terms of forgery detection, and reduces the delay by more than 50% when compared to other state-of-the art algorithms like key point selection, genetic algorithm and others.