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As a rising star of social apps, short video apps, e.g., TikTok, have attracted a large number of mobile users by providing fresh and short video contents that highly match their watching preferences. Meanwhile, the booming growth of short video apps imposes new technical challenges on the existing computation and communication infrastructure. Traditional solutions maintain all videos on the cloud and stream them to users via contend delivery networks or the Internet. However, they incur huge network traffic and long delay that seriously affect users' watching experiences. In this paper, we propose an edge-assisted short video sharing framework to address these challenges by caching some videos highly preferred by users at edge servers that can be accessed by users via high-speed network connections. Since edge servers have limited computation and storage resources, we design an online algorithm with provable approximation ratio to decide which videos should be cached at edge servers, without the knowledge of future network quality and watching preferences changes. Furthermore, we improve the performance by jointly considering video fetching and user-edge association. Extensive simulations are conducted to evaluate the proposed algorithms under various system settings, and the results show that our proposals outperform existing schemes.

Short videos have become the most-liked medium for Chinese consumers to learn about a brand’s products or services. This paper assesses how short video storytelling shapes Chinese consumers’ perceptions towards blockchain-credentialed Australian beef and their willingness to pay (WTP). A controlled experiment with a one-minute short video was implemented in an online survey. Respondents in the treatment group watched the video before filling out the survey, whereas respondents in the control group did not. The paper analyses and compares the empirical results from local (n = 76) and foreign (n = 27) consumers. Results illustrate that the short video, as part of our food communications, positively shapes consumer perception towards meat quality, labelling and traceability trust of Australian beef but has only slight or even negative effects on WTP. This could be due to the short video offering consumers a sense of supply chain visibility but not delivering the right messages to meet their expectation of blockchain credentials. Furthermore, short video storytelling effects vary among consumers with different socio-economic characteristics. Our results posit that short video storytelling can be a useful tool in communicating blockchain-credentialed food products but require the design of a tailor-made storytelling experience for diverse consumers.

Influenced by the strong demand for fragmented entertainment from network users, the short video industry has entered an unprecedented period of rapid development, but any emerging industry goes through a life cycle. The purpose of this article is to explore the impact of core competitiveness and brand personality on user loyalty in short video industry by using questionnaire survey for Chinese short video users and statistical analysis based on survey data, so as to provide suggestions for short video websites to improve user loyalty and prolong life cycle. Core competitiveness and brand personality are considered as independent variables, user perceived value characteristics as the moderator variable, and user loyalty as the dependent variable to construct the research model. The SPSS and AMOS statistical analysis tools are applied to reliability analysis, validity analysis, and structural equation model analysis of the survey data. The Results show that the core competitiveness of the short video industry has no positive effect on user perceived value; and the brand personality has a significant positive impact on the user perceived value; the core competitiveness of the short video industry has a significant positive impact on the user loyalty; the brand personality has a significant positive impact on the user loyalty; and the user perceived value has a significant positive impact on the user loyalty. Based on the above results, we suggest the short video website improve its core competitiveness through creating original videos, and adopting diversified content production modes, using network transmission and mass media to promote short video products, so as to strengthen the brand communication, shape the brand image and enhance the user perceived value, etc.

In the context of the rapid development of online shopping, enterprises and consumers realized the importance of an effective online short video display. However, academics rarely explored the content of a short video display and its impacts on consumers&rsquo, perceptions. This paper discusses the impacts of this display form on consumers&rsquo, perceived quality via questionnaires and scenario experiments based on the existing literature and theories. A short video of clothes was the main research object. We used an experimental design that included 2 (time: long, short) &times, 2 (display perspectives: overall, specific) &times, 2 (scenarios: outdoors, indoors) groups of experiments, for a total of eight groups of scenario experiments, to verify our hypotheses. The results reveal that the short video display makes consumers have a higher perceived quality compared with the long video display. Compared with a video that only includes an overall view of the product, a video that provides both an overall view and the details of the product makes consumers have a higher perceived quality. Consumers were found to have a higher perceived quality of products shot outdoors compared with products shot indoors.

Today’s psychology of star hunting is not only in the obvious “rice circle,” but also in the TikTok star of the live broadcasting platform such as jitter. For the current era of fast consumption, the popularity of short film and video culture is inevitable. Social networks have stimulated the personalization and motivation of Internet users, and the needs of Internet users have become more and more exquisite and artistic. This paper discusses the causes of online red and the interactive process between online red and its fans, and discusses the production mode, possible harm and Countermeasures of online red.

The era of omni media is arriving, due to the rise in popularity of short video platforms such as Tik Tok and Kwai. When audiences’ interests are constantly changing, documentary production is bringing in a new possibility for reform. This article uses the documentary “At thirty, a man should be independent” as an example to discuss transition thinking and effective development methods in the new media culture, with the aim of contributing to the transformation of promotion channels and innovation of new era documentaries.

Online short video platform usually adopts advertising mode and mixed mode as the pricing mode. How to choose the optimal pricing mode for the online short video platform is a topic worthy of our attention. This paper discusses the pricing mode that should be adopted by the online short video platform and investigates the effects of the viewer’s nuisance cost and cross-network externality intensity on the pricing mode selection of short video platform. The results show that, when the viewer’s nuisance cost is low and the intensity of cross-network externality is high, the platform should choose the advertising mode; otherwise, it should choose the mixed mode; when the cost is high and the intensity is low, the advertising price under the advertising mode is higher than that under the mixed mode; otherwise, the advertising price under the advertising mode is lower than that under the mixed mode; when the cost is relatively low and regardless of the intensity, the payment cost under the mixed mode is higher than that under the advertising mode; otherwise, the payment cost under the mixed mode is lower than that under the mixed mode. Importantly, we also find that, under certain conditions, interests of online short video platform and video content providers may be inconsistent.

With the rapid development of the Internet and smart phone technology, a large number of short videos are shared through social platforms. Therefore, video content analysis is a very important and popular work in machine learning and artificial intelligence currently. However, it is very difficult to analyze all aspects of video content originally produced by large-scale users. How to screen out bad and illegal content from short videos published by a large number of users, select high-quality videos to share with other users, and improve the quality of video on the distribution platform of the entire user is a top priority. Based on this background, this paper focuses on optimizing video auditing to provide basic features for algorithm judgment, supporting original content and increasing the distribution of new content, and strengthening manual intervention combining algorithm recommendation with manual recommendation. Four major aspects of the artificial training algorithm model discuss the optimization effect of artificial intelligence on the algorithm in order to provide some guidance for the sustainable and healthy development of mobile short video.

In Chinese political discourse, “positive energy” (zheng nengliang) is a popular expression that has embodied mainstream political ideology in China since 2012. This term has also become prominent on Douyin, a prominent Chinese short-video platform. By June 2018, over 500 Chinese governmental accounts on Douyin had promoted positive energy in videos, and the content was viewed over 1.6 billion times. Douyin even created a separate trending section, Positive Energy, for videos that promoted the dominant state ideology. This study argues that the Positive Energy feature on Douyin is significant. The Chinese government has accused and even permanently shut down several digital platforms for spreading “vulgarity” as the antithesis of positive energy. Using the app walkthrough method and a content analysis of over 800 videos collected from the Positive Energy section of Douyin, this study explores how Douyin promotes the Chinese state’s political agenda by promoting a new form of playful patriotism online.

In recent years, fueled by the rapid advances in high-speed mobile networks, streaming short-form videos over mobile devices (e.g., TikTok) is ubiquitous among mobile users. Despite its widespread application, our investigation revealed that the video quality experienced by the viewers exhibits substantial fluctuations over different short video sessions, so the Quality-of-Experience (QoE) is in fact far from optimal. To tackle this problem, this work develops a novel strategy called Quality Aware Short Video Streaming (QASVS), which employs deep reinforcement learning to automatically generate a quality-driven bitrate decision model to dynamically determine the bitrate for each session. Extensive evaluations show that QASVS can maintain much more consistent video quality across the video sessions. Moreover, compared to the state-of-the-art algorithms, it can improve the video quality by 11.1%~27.9% and significantly reduce the rebuffering events. Therefore, QASVS offers an effective solution for high-performance short video services.

based on empirical studies on the application of mobile short video, this paper takes TAM model as the basic structure, combines ECM-IT model, add subjective norms variable. Research on the relationship between satisfaction and perception factors, as well as the relationship between all variables and continuance intention, improved the model. Putting forward 8 relevant research hypotheses. The final hypotheses analysis results are all significant values less than 0.05, the results show that perception factors have a positive impact on mobile short video application user satisfaction. Second, the perception factors, satisfaction and subjective norms of mobile short video application users have a significant positive impact on continuance intention.

Following the rapid development of Internet technology, short videos have gradually emerged as an important form to promote the current publicity and promotion of cultural industries. This paper takes the short video of Shenyang Imperial Palace, on the basis of Lasswell’s 5W model and network questionnaire to construct a model of factors influencing the dissemination effect of the cultural short video of Shenyang Palace Museum. Applying multiple regression analysis, the influence of each influencing factor on the dissemination effect was analyzed and screened. The results show that the short video of the quality of expression of the dissemination content, the convenience of the dissemination channel significantly and positively affect the dissemination effect of the Shenyang Imperial Palace culture short video. Consequently, the Shenyang Imperial Palace culture short video dissemination effect influences factor model to improve its short video dissemination effect to provide a certain degree of decision support.

With the popularization of mobile short video technology, the kindergartens are increasingly using short video technology to disseminate related education and teaching activities. This is not only conducive to the development of all kinds of education and teaching work in kindergartens, but also conducive to promoting the reputation of kindergartens themselves. This research takes the officially certified kindergarten Tik Tok account as the research object, and use Statistical Product and Service Solutions (SPSS) software to conduct statistical analysis on the transmission of short video in kindergartens. Specifically, it includes descriptive statistical analysis on the number of works, the number of fans, and the number of likes received by each account; correlation analysis between the number of works, fans and likes; and content analysis on typical accounts. The research shows that the development of short video in kindergartens is still in the initial and exploratory stage as a whole. The number of kindergartens carrying out short video transmission, the number of works, the quality and effectiveness of transmission all need to be improved. In the future, kindergartens should pay attention to the following points in the application of short video transmission: the kindergartens should always have "awareness of innovation", establish short video transmission concepts, and clarify transmission strategies; the kindergartens should optimize the production environment for short video content, standardize short video content, and improve transmission effects; the kindergartens should implement the training mechanism and build a professional production team as much as possible.

With the rapid development of science and technology and the proposed of the core literacy of senior high school geography subject, more and more video shooting technology and video resources have been applied to geography teaching. The effective integration of short-video and other information technologies into the process of geography teaching and the creation of an intuitive and vivid geography teaching environment are conducive to the cultivation of students' learning habits such as autonomy, cooperation and exploration, and the cultivation of geography core literacy. As a continuation of classroom teaching, geography assignment plays an important role in consolidating classroom knowledge, developing innovative ability of students and cultivating core literacy. The assignment completion time is relatively free and sufficient, and students have a high degree of participation, which is conducive to the use of short-video technology in the assignment process. Therefore, considering the requirements of core literacy of senior high school geography subject and the advantages of short-video technology, this paper attempts to design a short-video assignment for the lesson of Landslides and Mudslides and elaborates the design principles, processes and evaluation standard of the assignment. It is expected to promote students' knowledge mastery and core quality cultivation through this assignment. This paper aims to provide new idea for the cultivation of geography core literacy and provide a reference for the innovation of teaching methods of teachers in senior high school.

Mathematics' skills and knowledge lay the basis for engineering studies. However, the resources targeted to mathematics' teaching are in many cases very limited. During the past years in our university the reduction of mathematics' contact hours has been significant while at the same time the study groups have grown. However, the mathematical proficiency of incoming students has not increased. Consequently, during the contact hours, the learning of basics requires more time and the need of personalized learning is increasing. In this article a method based on short video lecturing to enhance mathematics' learning is pre- sented. The study explored how the students experienced the mathematics' studying from videos. In addition, it was investigated if the video lectures have an influence on students' motivation towards mathematics' learning. Overall, the results were encouraging and the short video lecturing seems to be worth considering while developing methods for mathematics' learning. This paper summarizes the observations during the examination.

new media has promoted many short network videos, which are often produced and published by self-media. Short video has won the love of many young people because of the length of time and the amount of information. They like to imitate the popular cultural elements created in short video. These popular elements have a great influence on human values, especially on the values of contemporary college students. Some short videos cause positive social energy effect, but a considerable number of short videos advocate entertainment too much, resulting in misinterpretation of mainstream values and hindering college students from shaping correct values. Relevant institutions should reasonably monitor and control the negative effects caused by short video, so as to carry forward the mainstream values among college students, avoid negative public opinion affecting their observation of society, and finally cause their personality defects.

With 3.8 billion users, social media created ethical problems as well. The Cambridge Analytica scandal has been a serious issue with data security lately. Contents not in compliance with general moral rules is another important violation of ethics. TikTok application, the fastest-rising short video-sharing website, is examined. As a result of the literature review, it is observed that TikTok application also had ethical violations issues like lack of private data safety, not sufficient precautionary system barriers for the young generation, and addiction risk. Furthermore, considering that the young people can interact with malicious users through the fake accounts and the risk of sharing their exceptional videos to have more viewers, it is suggested that the sanctions should be arranged as a deterrent in violation of the rules. Parents and young users must be educated about the risks and ethical violations of social media.

During the Spring Festival in 2020, the outbreak of novel coronavirus caused a public health emergency in China, which formed a major event for the society and had a far-reaching impact. As one of the new media on the Internet, short video has attracted a lot of people's attention on this event, which makes it an effective means of publicity in response to this public health emergency. The government has played an important role in the prevention and treatment of epidemic diseases by making short videos available to the public, and in issuing policy guidelines, carrying out popular science publicity, and maintaining social order. The article aim to summarize various characteristics of short video in emergency period, analyze the role of short video in public emergency, explore the application of short video in public emergency in the future and conduct sufficient research in the field of short video, to enhance the level of short video production and play a bigger role in promoting national prosperity, and social stability, as well as improving the quality of national life.

People usually take short videos to record meaningful moments in their lives. However, selecting the most representative frame, which not only has high image visual quality but also captures video content, from a short video to share or keep is a time-consuming process for one may need to manually go through all the frames in a video to make a decision. In this paper, we introduce the problem of the best frame selection in a short video and aim to solve it automatically. Towards this end, we collect and will release a diverse large-scale short video dataset that includes 11, 000 videos shoot in our daily life. All videos are assumed to be short (e.g., a few seconds) and each video has human-annotated of the best frame. Then we introduce a deep convolutional neural network (CNN) based approach with ranking objective to automatically pick the best frame from frame sequences extracted via short videos. Additionally, we propose new evaluation metrics, especially for the best frame selection. In experiments, we show our approach outperforms various other methods significantly.

According to Alexa’s ranking of the top 500 sites on the web, YouTube takes the second place, demonstrating the importance of online services focused on sharing of short self-shot videos. With growing popularity of mobile phones, mobile only short video sharing social media applications appeared on the market. One of such applications is TikTok, probably the most talked-of video sharing platform of 2019, similar to its twin service for the Chinese market, called Douyin. The content on YouTube varies greatly in topic: from music and toys to science and technologies, from computer games and cooking to education and politics. But does the content on mobile short video platforms differ that much too? The content of 1,000 videos on TikTok as a prominent representative of mobile short video sharing social media services was analyzed to find out which content is common and popular on TikTok. Content analysis was applied as the main research technique. Comedy videos and musical performances turned out to be the most popular and the most frequent categories among both male and female performers. Comedy videos are, however, especially frequent among male creators. At that, videos related to beauty and DIY are common for females, but not for males. Additional attention in this study was paid to the potential law infringements on the platform. The cases of potential violations of copyright and personal rights were observed. Videos containing inappropriate contents such as violence, sexual activity, or consumption of drugs and alcohol were, by contrast, not revealed.

With the rapid development of mobile Internet and 4G, short video apps came into being. Internet companies have launched such explosive short video platforms as "weishi", "TikTok" and "kuaishou" in response to the fragmented reading habits of the public. Internet users can more easily browse public opinion news, express opinions and emotions. In view of a variety of public opinion events and a large amount of comment information from Internet users, this paper proposes a big data public opinion analysis strategy which integrates short video content comments. Firstly, an improved kernel k-means algorithm based on local density and single-pass is proposed for topic discovery, which solves the problems of uncertainty of initial center point and high time complexity of K-means algorithm. Then, according to the characteristics of online public opinion, a model is proposed to quantitatively express the emotional value of public opinion comments. In the spark platform, the description titles and high praise comments of the hot videos of the short video platform in the past three months are used as the data set for simulation experiments. The results show that the improved algorithm improves the clustering effect, and solves the low efficiency problem caused by the high time complexity and large amount of data. The affective index of hot events given by the affective value measurement model accords with the public opinion guidance of recent public opinion events.

This paper draws on related teaching methods and designs a fuzzy evaluation index system for physical education quality based on short videos. On this basis, the maximum frequency interval method is used to determine the weights of the primary and secondary indicators. In view of the many factors affecting the quality of outdoor teaching of physical education teachers in colleges and universities, which are difficult to express and calculate with precise mathematics, the Fuzzy comprehensive evaluation model is used to deal with the qualitative factors among them, and with the help of case studies, designs are designed to affect the quality of physical education teaching. Several evaluation indicators, using fuzzy comprehensive scoring method, formulate a comprehensive evaluation table and calculation formula for physical education teaching, so as to realize the quantitative evaluation of physical education teaching. Case studies have shown that the use of fuzzy teaching methods to evaluate practical course teaching can effectively reduce the influence of subjective factors, the calculation method is simple and practical, and the evaluation results are accurate and reliable.

With the rising of social media, firms seek to contract with key opinion leaders (KOLs) who have strong influence on their social media followers, to promote products of the firms by making videos. This paper studies the problem of how to select KOLs and schedule their advertising campaigns in order to maximize advertising effectiveness. This research augments the existing literature by investigating the distinctive KOL marketing in social media context. For practitioners, this paper provides firms with insights and practical tools for KOL selection and scheduling with varying levels of advertising budget. Based on a dataset from a popular short-video platform in Brazil, this study proposes what we call a multinomial logit model with decaying utility (MNL-DU) to model viewers' choices of consuming the promotion videos. Using this model, we develop a heuristic to solve the selection and scheduling of KOLs' advertising campaigns. Theoretically, we prove that the performance of our proposed heuristic is near-optimal and analyze its asymptotic behavior. Empirically, we estimate this structural model with real data, and further obtain several important empirical results derived from the heuristic, which provide managerial insights for practitioners. According to our empirical results, popular KOLs (who have a larger number of video views but a higher cost to contract with) have significant influence on the viewers. However, we find that only contracting with them will lead to significant loss in revenue even with relatively large budget. Our results suggest that a number of alternative factors are crucial in selecting who to contract with, such as whether the KOL has unique styles, how positive the KOL is rated, and how active the KOL is. These factors also affect the scheduling of the selected KOLs.

Apparent personality analysis (APA) is an important problem of personality computing, and furthermore, automatic APA becomes a hot and challenging topic in computer vision and multimedia. In this paper, we propose a deep learning solution to APA from short video sequences. In order to capture rich information from both the visual and audio modality of videos, we tackle these tasks with our Deep Bimodal Regression (DBR) framework. In DBR, for the visual modality, we modify the traditional convolutional neural networks for exploiting important visual cues. In addition, taking into account the model efficiency, we extract audio representations and build a linear regressor for the audio modality. For combining the complementary information from the two modalities, we ensemble these predicted regression scores by both early fusion and late fusion. Finally, based on the proposed framework, we come up with a solution for the Apparent Personality Analysis competition track in the ChaLearn Looking at People challenge in association with ECCV 2016. Our DBR is the winner (first place) of this challenge with 86 registered participants. Beyond the competition, we further investigate the performance of different loss functions in our visual models, and prove non-convex loss functions for regression are optimal on the human-labeled video data.

This paper adopts the communication and persuasion model to focus on whether short video information presentation has a significantly positive impact on sales volume, and whether brand awareness or store type have a moderating effect on the relationship between short video information presentation and sales volume respectively, then if so, how do they moderate it. This experiment takes the search product - television as an example, and selects the well-known B2C mall - Tmall as the experiment environment. Through using web crawler, it is found that: short video information presentation has a significant positive impact on product sales volume. Brand awareness does not moderate the relationship between short video information presentation and sales volume, while store type can regulate it. The promotion effect of short video information presentation on sales volume of flagship stores is significantly higher than that of other stores.

In recent years, the popular short video content understanding and recommendation technology has become a research hotspot. This paper presents a new mixed short video recommendation algorithm based on the content, the use of FM, FMM, DeepFM DeepDCN model) and the short video content (visual, text, user interaction), and other characteristics of the training, at the same time, using a combination of two hybrid model of strategy for learning, for users to return to a short video recommend high quality results. In order to evaluate the proposed algorithm, experiments were carried out on the short video content understanding and recommendation competition data set on Biendata open competition platform, which was derived from the TikTok (douyin overseas edition) short video APP owned by bytedance company, which included two tracks: yayi and yayi. Participants were asked to model a user's interest through a video and user interaction data set, and then predict the user's click behavior on another video data set. Based on the analysis of root race results, the algorithm proposed in this paper effectively improves the performance of short video recommendation algorithm.

Despite short video industry has been greatly developed in recent years and many people have been addicted to using short video apps, little is known about what motivates users to generate such loyalty. The purpose of this paper is to build a research model based on the satisfaction, perceived value, time-flexibility, ease of use and celebrity attractiveness to identify the antecedents of users' loyalty in the context of short videos. The model is tested against 278 actual users of Tik Tok. Structural equation modeling (SEM) is employed for data analysis. The findings put entertainment value, social value, perceived usefulness, and time-flexibility under the spotlight, but the ease of use and celebrity attractiveness don't support our hypotheses. We conclude that Tik Tok users' loyalty is strongly driven by satisfaction, which in turn is primarily driven by the perceived value and weaken by the time-flexibility. The implications are discussed in the paper.

Due to the viewing convenience for social media users' fragmented time, the short video has become a new carrier for users' network demands on information spread, news reading, social contact, entertainment, and leisure. Therefore, short video recommendation is one of the most important research topics in social media. Current short video recommendation algorithms mainly focus on detecting user's social attributes, developing cross-domain information and so on, few researchers combine video category information and multi-behavior information together. This paper proposes a content-based recommendation algorithm Category-aided Multi-channel Bayesian Personalized Ranking (CMBPR) for short video recommendation, which integrates users' rich preference information by considering the difference among both different video categories and different user interactions. The experimental results demonstrate the effectiveness of the CMBPR video recommendation algorithm, which achieves a significantly higher recommendation accuracy than the traditional video recommendation algorithms and solves the influence of the “Long Tail” effect.

Dynamic adaptive streaming has been recently widely adopted for providing uninterrupted video streaming services to users with dynamic network conditions and heterogeneous devices in Live and VoD (Video on Demand). However, to the best of our knowledge, no rate adaptation work has been done for the new arisen short video service, where a user generally watches many independent short videos with different contents, quality, bitrate, and length (generally about several seconds). In this work, we are the first to study the rate adaptation problem for this scenario and a Statistical-based Rate Adaptation Approach (SR2A) is proposed. In SR2A, each short video is transcoded into several versions with different bitrate. Then, when a user watches the short videos, the network conditions and player status are collected, and together with the to be requested video’s information, the best video version (bitrate or quality) will be selected and requested. Thus, the user will experience the short videos with the most suitable quality depending on the current network conditions. We have collected the network trace and user behavior data from Kuaishou1, the largest short video community in China. By the collected data set, the users’ watching behavior is analyzed, and a statistical model is designed for bandwidth prediction. Then, combined with the video information derived from the manifest, the maximal video bitrate is selected under the condition that the probability of play interruption is smaller than a predefined threshold during the whole playback process. The trace based experiments show that SR2A can greatly improve the user experience in quality and fluency of watching short videos.

In general, at the universities the lecturers use the grades to evaluate the students’ performance. However, the grades do not show the accumulated knowledge. Thus, the students can’t understand whether they have studied enough to understand all the topics of the lecture. Recently, with the advancement with as IoT technology and applications, we can record students’ study for every lecture using video images in all directions (360-degree). We can display high quality image for students. However, by recording many lectures, we will have big data. Therefore, we need to convert these data into short video and show to the students in order that students easily understand their study style. In this paper, we use 360-degrees cameras for searching the students’ location and judge their learning style.

With the development of Internet technology and the popularization of mobile intelligent terminals, mobile short video has developed rapidly in recent years. In particular, short video platforms represented by Tiktok and Kuaishou have penetrated into People's Daily life, while short video platforms such as Tiktok and Kuaishou have gradually become important carriers for People's Daily sharing and social communication. In the era of mobile Internet, scene, as a new entrance, is reshaping the intelligent connection between platform, users and diversified content services. The five elements of scene have become the core driving force, prompting us to enter a scene development era soon. As a major branch of Tiktok short videos, rural short videos construct scenes of rural life, display diversified features of rural scenes through immersive experience and sensory interactive experience, arouse people's memories of the countryside, win the audience's affection, and realize the spread of rural culture in the way of scene. Therefore, based on the scene theory, this paper analyzes the scene construction of Tiktok rural short videos and studies its value. By reflecting on the problems in the development of Tiktok rural short videos, it provides constructive thinking for its development and has certain significance for the future construction of rural short videos.

With the development of Internet technology and the popularity of 5G technology in mobile terminals, we media has entered the era of “short video + live broadcast” from the era of graphics and text on mobile terminals. The number of users of “live video + short video” app platform has reached 888 million, accounting for 94.5% of the total Internet users in China. In 2020, the sales revenue of all kinds of flat broadcast e-commerce will reach trillion, and cultural and tourism enterprises pay more and more attention to live broadcast We should pay dividends for the development of tourism enterprises, and carry out publicity and marketing of tourism routes and products. Tiktok and Kwai platform are taken as examples to analyze the problems the problems existing in the promotion of “live + short video” by cultural tourism enterprises. At the same time, it puts forward its own views on how to carry out the marketing innovation of “live + short video” in the cultural tourism industry of tourism cities.

Nowadays, the new media technology represented by the Internet has been outstanding in the work of ideological politics in colleges and universities, which has an important impact on the work in colleges and universities. Short video technology is becoming very popular in the society. It has gradually become one of the entertainment ways of contemporary undergraduates. When ideological and political work is carried out in colleges and universities in the new media environment, the short video recommendation model is combined with the characteristics of new media to put forward innovative ideas of the work of ideological politics in colleges and universities. This paper summarizes the development of short video and analyzes the Countermeasures of Ideological and political work innovation in colleges and Universities in the new media environment.

While enriching the life of college students, they also bring some negative effects; short videos are widely welcomed by people because of their rich content and diverse shooting methods. This paper analyses the positive and negative effects of short video era on ideological and political education, and proposes ideological and political teaching strategies. The arrival of short video is a double-edged sword for counselors to carry out ideological and political education for college students. This paper analyzes the opportunities and challenges of short video to carry out ideological and political education for college students, actively explores the construction of short video recommendation model, and seeks the work path of ideological and political education for college students.

In many short video platforms around the world using MCN mode as the main expansion of the video distribution, ranging from the Tik Tok, Youtube to other, “Yitiao" is completely with the PGC mode. The production content, the positioning of the audience as the middle class, the launching of original short videos, and the unique aesthetic content and accurate audience positioning, have revolutionalized the short video industry. With the use of innovative business model, “Yitiao” brings the content and interconnected new media features into the commercial e-commerce field, and combines innovation with offline cultural output. The problems arising from this, such as the lack of strong technical support, and the commercialized and countered core content are not negligible, and they may affect the vitality of monetizing content e-commerce.

Promotional trailers represent a significant trend in most entertainment sectors. However, little efforts have been done in enlightening this expressive form when related to video games. This article aims to address such a lack by analyzing game/movie (inspired by digital games) trailers as a crossroad between digital entertainment and films. The main intent is to exploit a comparative lens to uncover leading traits of short videos according to the medium that that they are portraying. Therefore, three case studies – i.e. Assassin’s Creed, Warcraft, and Overwatch – are presented and unpacked with a combination of design and semiotic tools (from Greimas’ narrative program to game heuristics) and the concepts of symmetry, dissymmetry and asymmetry advanced by Roger Caillois. Results point to a cross-media coherence between different types of trailers, and future developments are suggested for exploiting them as an informing research object.

HTTP adaptive streaming (HAS) has been successfully used by many companies (e.g. YouTube, NetHix, etc.) to optimize their streaming experience. However, it also brings some unique challenges. For example, HAS doesn't work well for YouTube's videos that only last a minute or two. According to the experiment results, the HAS client will take tens of seconds to switch to the high quality stream, which degrades the experience for viewers when they are watching the short term videos. To resolve this issue, we propose a method for network assistant cross video HTTP adaptive streaming (NC-HAS), which has several features: (1) The data rate adaptation is carried out across two successive videos rather than in one video by utilizing the fact that clients often watch more than one short video continuously; (2) The network nodes monitor the network traffic to avoid the performance degradation caused by the traffic burst during the interval between two successive videos; (3) The client transparent scheme avoids the modification in massive HAS clients. The experiments results show that the time to achieve the high quality stream at the client is decreased greatly by adopting NC-HAS. At the same time, the user's throughput and the cell utilization is improved, which can be regarded as the byproduct of NC-HAS.

espanolEsta investigacion forma parte de una red de innovacion docente llevada a cabo en la Universidad Nacional de Educacion a Distancia (UNED, Espana), con el fin de mejorar el aprendizaje de lenguas extranjeras a traves de la integracion de video clases breves en varios cursos de idiomas. Los resultados muestran heterogeneidad segun los diferentes idiomas, tanto en el numero de videos que se consideran necesarios para el curso como en las herramientas preferidas para la preparacion del material audiovisual. En cuanto a la percepcion de los estudiantes de su propio progreso en el dominio de la lengua, han mostrado un aumento en la motivacion y participacion, y perciben que esto se ha traducido en una mejora de su competencia oral, vocabulario y gramatica, pero no tanto en su produccion escrita EnglishThis research is part of a network for teaching innovation put forward by Universidad Nacional de Educacion a Distancia (UNED, Spain), aimed at improving students’ foreign language competence through the integration of short video lessons in several language courses. The results show heterogeneity in the different languages, both in the number of videos deemed necessary for the course and the tools preferred for the preparation of the audiovisual material. As for the students’ perception of their own progress in language proficiency, they reported an increased motivation and engagement, which resulted in a perceived improvement in their oral skills, lexis and grammar, but not so much in their written production.

A short video animation is designed to mitigate the fears of children admitted to hospital for the diagnosis of their sleep disorders. The video animation was produced following recommendations from medical staff involved in the diagnosis. Images taken from the animation decorated the hospital ward, to bring the video characters to life in the children’s minds. Finally, standard diagnosis of sleep disorders was performed by means of polysomnography on two groups of children: a reference and an evaluation group. Both parents and children responded to questionnaires that measured their satisfaction and the perception of their experiences. Preliminary findings extracted from the polysomnography showed that the videos helped to relax nervous children, especially sensitive to the hospital environment, and shortened Sleep Onset Latency and Non-REM latency. Besides, the responses to the questionnaires suggested that the video also reassured the parents whose moods helped the children to accept their hospitalization.

The recent three years have witnessed an explosion of networked video sharing, represented by YouTube, as a new killer Internet application. Their sustainable development however is severely hindered by the intrinsic limit of their client/server architecture. A shift to the peer-to-peer paradigm has been widely suggested with success already shown in live video streaming and movie-on-demand. Unfortunately, our latest measurement demonstrates that short video clips exhibit drastically different statistics, which would simply render these existing solutions suboptimal, if not entirely inapplicable. Our long-term measurement over five million YouTube videos, on the other hand, reveal interesting social networks with strong clustering among the videos, thus opening new opportunities to explore. In this paper, we present NetTube, a novel peer-to- peer assisted delivering framework that explores the clustering in social networks for short video sharing. We address a series of key design issues to realize the system, including a bi-layer overlay, an efficient indexing scheme and a pre-fetching strategy leveraging social networks. We evaluate NetTube through simulations and prototype experiments, which show that it greatly reduces the server workload, improves the playback quality and scales well.

Standard methodologies for subjective video quality testing are based on very short test clips of 10 seconds. But is this duration sufficient for Quality of Experience assessment? In this paper, we present the results of a comparative user study that tests whether quality perception and rating behavior may be different if video clip durations are longer. We did not find strong overall MOS differences between clip durations, but the three longer clips (60, 120 and 240 seconds) were rated slightly more positively than the three shorter durations under comparison (10, 15 and 30 seconds). This difference was most apparent when high quality videos were presented. However, we did not find an interaction between content class and the duration effect itself. Furthermore, methodological implications of these results are discussed.

Happiness is a hot topic in psychology in recent years. In the network environment, it is of great significance to explore people's subjective well-being.With the increasing use of smart phones, mobile social-media, especially in the form of short video, begins to play an important role in people’s life, and has been associated with the subjective well-being of users. However, the problematic use of mobile social-media also emerges at the same time. This study aims to reveal the relationship between the problematic use of mobile social-media and subjective well-being, and figure out the effect of the Boredom Proneness in mediating the relationship. Therefore, three rating scales were employed to measure the related psychological factors of 656 participants who use mobile applications for sharing short video, including Problematic Mobile Social Media Usage Assessment Questionnaire, Subjective Well-being Scale, and Boredom Proneness Scale. Firstly, significant interactions were found between monthly living expenses and use of mobile social-media, which were recognized as factors affecting subjective well-being. Secondly , there was significant negative correlation between use of mobile social-media and subjective well-being in both the high level and low level of populations, while there was no significantly correlation between the moderate-level groups and subjective well-being. Lastly, it has illustrated that boredom mediates the relationship between mobile social media use and subjective well-being. Our findings indicate that whether the short video can be viewed reasonably directly affects the user's subjective well-being; the use of mobile social media affects the subjective well-being through boredom to a certain extent.

Background Diabetes has become one of the most prevalent chronic diseases, and many people living with diabetes use social media to seek health information. Recently, an emerging social media app, TikTok, has received much interest owing to its popularity among general health consumers. We notice that there are many videos about diabetes on TikTok. However, it remains unclear whether the information in these videos is of satisfactory quality. Objective This study aimed to assess the quality of the information in diabetes-related videos on TikTok. Methods We collected a sample of 199 diabetes-related videos in Chinese. The basic information presented in the videos was coded and analyzed. First, we identified the source of each video. Next, 2 independent raters assessed each video in terms of the completeness of six types of content (the definition of the disease, symptoms, risk factors, evaluation, management, and outcomes). Then, the 2 raters independently assessed the quality of information in the videos, using the DISCERN instrument. Results In regard to the sources of the videos, we found 6 distinct types of uploaders; these included 3 kinds of individual users (ie, health professionals, general users, and science communicators) and 3 types of organizational users (ie, news agencies, nonprofit organizations, and for-profit organizations). Regarding content, our results show that the videos were primarily about diabetes management and contained limited information on the definition of the disease, symptoms, risk factors, evaluation, and outcomes. The overall quality of the videos was acceptable, on average, although the quality of the information varied, depending on the sources. The videos created by nonprofit organizations had the highest information quality, while the videos contributed by for-profit organizations had the lowest information quality. Conclusions Although the overall quality of the information in the diabetes videos on TikTok is acceptable, TikTok might not fully meet the health information needs of patients with diabetes, and they should exercise caution when using TikTok as a source of diabetes-related information.

I do therefore I am? Work and identity changes in the audiovisual representations of Short on Work - global short-video contest on contemporary work. This article intends to investigate the relationship between identity and work, and its changes, as they are perceived and represented by the videos that participated in Short on Work - global short-video contest on contemporary work. The analysis focuses on 83 videos, those viewed by the international competition jury. These works are first coded according to the classification of ISTAT professions, in order to under-stand which professions are present within the archive and identify specific trends that represent the object of study of this article. A first focus is the analysis of rep-resentations of female work. A second focus of investigation is the role of new technologies. Gender stereotypes are highly represented and technologies are not allied in breaking those kind of stereotypes. A progressive reduction of the profes-sional identity is highlighted, represented through a different relationship with the workplace and the lack of clearly defined and recognized status and roles.