• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.480-493
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• 2016

Recently, the method of social interaction is transforming into a method that utilizes videos. We are suggesting a new social video platform that contains a video of 'I' and 'the other'. We studied how the appearance of 'the other' and 'I' affected the user. So we applied the Social Impact Theory and Self-Monitoring Theory. The platforms were then used to investigate how the user's positive attitude and sense of community were affected by having the user view his/her and 'the other's appearance watching the same video. As the result, users felt more positive attitude when their own appearance was shown on the screen. However, the positive attitude decreased when there were more femininity in the surrounding videos along with their own appearance. Also, when there were more masculinity in the surrounding video, the users felt a stronger sense of community. We believe this research will provide implications for developing the structure and organization of a new social video platform.

• Science of Emotion and Sensibility
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• v.19 no.2
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• pp.3-18
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• 2016

This research, through video-based communication in a social video platform environment, studied the influence of the relationship between a video-watching subject and other watchers to that of the user's positive emotion and sense of community. Based on prior psychological theories called Social Impact Theory and Self-Monitoring Theory, the research built an actual video-based social video platform environment in order to verify an alternative utilizing new means of interaction based on videos. The result shows that under video-watching settings, user feels greater positive emotion and sense of community when the screen shows other people's reaction live and when him or her self's face is shown together, compared to when they are not shown. Also, based on the ANOVA analysis, the percentage of increase in positive emotion was greater when the two conditions mentioned above were provided synchronously compared to when they were not. The result of the research is expected to yield insights about a new form of social video platform.

• KNOM Review
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• v.24 no.1
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• pp.20-28
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• 2021

Extensive use of social media applications and mobile devices continues to increase data traffic. Social media applications generate an endless and massive amount of multimedia traffic, specifically video traffic. Many social media platforms such as YouTube, Daily Motion, and Netflix generate endless video traffic. On these platforms, only a few popular videos are requested many times as compared to other videos. These popular videos should be cached in the user vicinity to meet continuous user demands. MEC has emerged as an essential paradigm for handling consistent user demand and caching videos in user proximity. The problem is to understand how user demand pattern varies with time. This paper analyzes three publicly available datasets, MovieLens 20M, MovieLens 100K, and The Movies Dataset, to find the user request pattern over time. We find hourly, daily, monthly, and yearly trends of all the datasets. Our resulted pattern could be used in other research while generating and analyzing the user request pattern in MEC-based video caching scenarios.

• The Korean Journal of Applied Statistics
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• v.35 no.1
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• pp.147-159
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• 2022

Nowadays, various social media platforms are widely spread and people closely use such platforms in daily life. By doing so, social influencers with a large number of subscribers, views, and comments have huge impact in our society. Following this trend, many companies are actively using influencers for marketing purpose to promote their products and services. In this study, we extract the speeches of influencers from videos for game marketing and analyze them using various text mining techniques. In the analysis, we distinguish game videos leading to successful marketing and failed marketing, and we explore and compare the linguistic features of the influencers for successful and failed marketings.

• Journal of Broadcast Engineering
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• v.15 no.1
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• pp.144-147
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• 2010

Recently the change of content consumption trend activated the social video sharing platform and the video clip itself. There have been intensive interests and efforts to automatically abstract compact and meaningful video clips. In this paper, we propose a method which use the clustering of the bookmark data created by collective intelligence instead of using the video content analysis. The partitional clustering of points in 2-dimensional space derived from the bookmark data make it possible to abstract highlights effectively. The method is enhanced by the 1-dimensional accumulated bookmark count graph. Experiments on the real data from KBS internet service show the effectiveness of the proposed method.

• Information Systems Review
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• v.18 no.3
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• pp.51-71
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• 2016

Tourism products are intangible goods. Given this nature, tourist experience should be recorded and visualized through media, such as pictures, videos, and souvenir. Online platforms played the role of media given the growth of information and communication technology. Tourists post their travels for real-time documentation of their experiences, but they also tend to reminisce about past experiences that they posted on social media. Social media is not only a channel of self-presentation or a means of communication with other people, but it also serves as an archive of electronic records to bring back memories. Given this finding, we investigated the impact of social media on the autobiographical memory (recollection and vividness) of tourists and their intention to revisit a certain destination. The results showed social media interface and the impact of display quality on the recollection and vivid memory. The predictor of memory recollection of tourists is intention to revisit a destination. Social media is considered an archive of travel memory that indulges people to reminisce. Theoretical and practical implications were provided based on these results.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.311-316
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• 2020

is a mobile application based SNS video platform that launched its service in China in 2016. At the beginning of the service, TikTok is a music video content platform, and later, it evolved into a social platform that provides a wide variety of contents, and the process of creating, producing, and editing videos was easily provided. Since started its service, it has analyzed various social phenomena that have appeared to young people and the types and characteristics of video content popular in this app. The demand for vertical video content in the form of short clip is on the rise rapidly, which can be expected to improve the quality of video content in accordance with the development of mobile-based imaging technology. Useful for mobile based on the creative video producers through this study data are to be used to.