• Title/Summary/Keyword: 소셜미디어 콘텐츠

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Comparison of Online Game User Communities by using Social Network Analysis (소셜네트워크 분석을 통한 온라인게임 이용자커뮤니티 간 비교)

  • Ha, Sung-Ho;Im, Kwang-Hyuk;Pae, Hyun-U
    • The Journal of the Korea Contents Association
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    • v.9 no.8
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    • pp.178-189
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    • 2009
  • This paper investigates the influence of social networks on the satisfaction and loyalty of online game users. We gather the resulting questionnaires written by all respondents and compare social networks of users in the online game world. Social networks of online game users influence a sense of community. In consequence, the community sense influences the satisfaction and loyalty of online game users, respectively. Therefore, the companies which produce an online game and provide various services to users should consider the social networks and communities of their game users. Especially they have to try to manage the users who are the opinion leaders of the online game. If the companies make good relationships with users who are the opinion leaders of the online game, they would easily improve the loyalty of ordinary users by performing word-of-moth marketing of the users' opinions concerning about the online game.

The Study of Koreans' Perception about Vietnam using Social Big Data (베트남에 대한 한국인의 인식 연구 : 소셜 빅데이터를 활용하여)

  • Seo, Eun Hee;Lee, Jaeseong
    • The Journal of the Korea Contents Association
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    • v.19 no.3
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    • pp.1-9
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    • 2019
  • The purposes of the study are to investigate Koreans' perception about Vietnam by analyzing social big data and to seek changing direction in perception. For the purposes, the texts about Vietnam in Naver Blog and Twitter and the number of search and click for Vietnam in Naver were analyzed by Social Metrics of Daum Soft and Datalab of Naver. The study also analyzed the annual change of their interest in Vietnam based on social media. The results showed that Koreans still remember the Vietnam war, have a positive emotion toward Vietnam, and view Vietnam as a country where we can gain mutual benefit by exchange. The findings also indicated that Koreans perceive Vietnam as a favorite tourist spot regardless of age. Meanwhile, children under 12 showed a different pattern of an annual change in perception. It might be a positive sign that Koreans' interest region toward Vietnam would be diversified because children under 12 would be the central axis of cultural contents.

A Study on the Strategy of Content Marketing Using YouTube -Focused on Domestic Standalone Beauty Brands- (유튜브를 활용한 콘텐츠 마케팅 전략 연구 -국내 로드숍 화장품 브랜드를 중심으로-)

  • Nam, Seung Yoon;Park, Bo Ram
    • Design Convergence Study
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    • v.16 no.2
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    • pp.63-81
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    • 2017
  • Environmental change of consuming contents has led corporates to acknowledge the possibility of social media as being marketing platform. And as the importance of 'contents' is growing bigger at the same time, 'Content Marketing' is getting attention because 'Content' plays the key role in current marketing since it can deliver meaningful values to the companies and the customers both. Many companies are practicing contents marketing employing YouTube by not only creating their own YouTube channels and YouTube contents but also collaborating with YouTube creators. Purpose of this study is to figure out how domestic standalone beauty brands that are actively practicing content marketing, are exploiting the YouTube and to suggest design direction for future YouTube content marketing. 'Etude', 'Innisfree', 'Misha', 'The Face Shop' were selected for analyzing the content marketing cases using YouTube. As a result, this study could conclude that if the brand has inadequate number of subscribers, it is better to collaborate with the creators. Also, clarifying contents' purpose and distinguishing the way of delivering it is important.

An Exploratory Study on Local Community Food Issues in the Context of COVID-19: Focusing on Social Big Data through Regional Issues (코로나19 상황에서 지역사회 먹을거리 이슈에 관한 탐색적 연구: 지역별 이슈를 통한 소셜 빅데이터를 중심으로)

  • Choi, Hong-Gyu
    • The Journal of the Korea Contents Association
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    • v.21 no.8
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    • pp.546-558
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    • 2021
  • This study focused on analyzing the contents of social big data produced in the online space, dealing with issues related to food in the community in the context of COVID-19. First, this study analyzed food-related issues that spread through regional websites and online community(cafes) after social distancing was implemented due to COVID-19. Next, this study analyzed the contents of food-related issues that spread through media news, SNS, and portals. As a result, there were more food-related posts on the homepages of other regions compared to the metropolitan areas such as Seoul and Gyeonggi, but in the case of online communities, there were more food-related issues in online communities registered in Seoul and Gyeonggi regions. Food-related keywords in regional online communities mainly contained content related to the local economy. In the media articles, SNS, and search portal issues, content that can be discussed in the consumption process of local community food-related policies, information, and products mainly appeared. Based on the results of the study, it was found that there is no specialized information sharing system for each community, that online communities can contribute to providing food information applicable to reality, and that it is possible to verify the performance of regional food policies through social media.

A Facebook Page Ranking and Highlight Contents Selection Scheme based on User Interests (사용자 관심 정보 기반의 Facebook 페이지 순위 매김 및 대표 콘텐츠 선택 기법)

  • Rew, Jehyeok;Choi, Young-Hwan;Hwang, Eenjun
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.2
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    • pp.101-108
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    • 2014
  • As browsing and sharing multimedia contents through various social network services have become very common these days. there has been a rising demand for effectively provide appropriate multimedia contents to users depending on their interest and characteristics. Especially, considering the enormous volume of multimedia contents created daily, user satisfaction heavily depends on effective selection of appropriate multimedia contents. For instance, if the acquisition of contents is based on friends or related people, then it is usually considered to be more trustworthy. Facebook page is one of the social spaces where people can obtain various information of interest. Still, users have difficulty in finding proper information because Facebook generates tremendous amount of data daily. In this paper, we proposed a scheme to extract and select Facebook page contents effectively. In our proposed scheme, users are grouped based on mutual intimacy and Facebook pages of interest are selected based on the ranking of importance. We show the performance of our scheme through experiments.

Crowd-funding between the Movie Content Prodution through the Analysis of the Relationship or the Successful Funding Case Research (크라우드 펀딩과 영화영상미디어 콘텐츠 제작과의 관계분석을 통한 성공적인 펀딩 연구)

  • Jin, Seung-Hyun
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.81-91
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    • 2013
  • Social Media has been vitalized according to development of technology, it make the crowd-funding which have a form of new donation culture. The crowd-funding has been known as form that is supported for getting investments of ongoing or new project by much public in area of cultural art. Nowadays it receive attention from the movie content production. There are so many successful case such as , in abroad while it is hard to find distinct case in Korea' the movie content production market. Since the movie <26 years> informed public of 'the crowd-funding', recently was successfully complete first and second fund-raising and third fund-raising is in progress. It is upraised as a representative successful case.

Expert Recommendation Scheme by Fields Using User's interesting, Human Relations and Response Quality in Social Networks (소셜 네트워크에서 사용자의 관심 분야, 인적 관계 및 응답 품질을 고려한 분야별 전문가 추천 기법)

  • Song, Heesub;Yoo, Seunghun;Jeong, Jaeyun;Park, Jaeyeol;Ahn, Jihwan;Lim, Jongtae;Bok, Kyoungsoo;Yoo, Jaesoo
    • The Journal of the Korea Contents Association
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    • v.17 no.11
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    • pp.60-69
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    • 2017
  • Recently, with the rapid development of internet and smart phones, social network services that can create and share various information through relationships among users have been actively used. Especially as the amount of information becomes enormous and unreliable information increases, expert recommendation that can offer necessary information to users have been studied. In this paper, we propose an expert recommendation scheme considering users' interests, human relations, and response quality. The users' interests are evaluated by analyzing their past activities in social network. The human relations are evaluated by extracting the users who have the same interesting fields. The response quality is evaluated by considering the user's response speed and response contents. The proposed scheme determines the user's expert score by combining the users' interests, the human relations, and the response quality. Finally, we recommend proper experts by matching queries and expert groups. It is shown through various performance evaluations that the proposed scheme outperforms the existing schemes.

The impact of the Characteristics of Posting at Social Media Service on the Consumer Responsiveness in the Comics Publication Industry (출판 만화 기업의 소셜 네트워크 서비스 게시글의 속성이 소비자 호응도에 미치는 영향)

  • Jeon, Hyesun;Shin, Hyung-Deok
    • The Journal of the Korea Contents Association
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    • v.13 no.1
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    • pp.391-397
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    • 2013
  • Recently, comics pulication industry is experiencing long-time recess in Korean market. To overcome the difficulties firms are trying to develop various tools which fit new technological environments, but previous research tend to have focused too much on web-base contents such as webtoons, rather than communication effectiveness through social network services. Thus, this study investigated the relationship between the characteristics of postings at social network service and the consumer responsiveness. In the results, we found that posting with visual images and event invitations were positively associated with consumer responsiveness, and the amount of information was negatively associated with the responsiveness. This study shows some implications on how firms can effectively enhance communication with consumers through social network service.

A Study on the Effectiveness of Video Advertisements Generated by Social Media Users: Centered on Video Content Type and Information Framework (소셜미디어 사용자가 만드는 동영상 광고효과에 관한 연구: 동영상 콘텐츠 유형 및 정보 프레임워크 중심으로)

  • Zhang, Ning;KIM, Chee-yong
    • Journal of Korea Multimedia Society
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    • v.25 no.1
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    • pp.103-113
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    • 2022
  • Based on the information framework and regulatory focus theory, this paper verifies the impact on the advertising effect when the matching effect forms between the video advertising content type (Information Type, Entertainment Type) and the information framework (Promotional, Prevention) and the regulatory focus (Promotion Orientation, Prevention Orientation) in social media. In order to verify, after selecting of the experimental subjects and finishing the prior investigation of the experimental operation, four video advertisements and formal experiments were performed. The experimental results showed that first, the content type affects the advertising effect of the video and the information framework; when the information video matches the preventive information framework, it will have a more obvious positive effect on the advertising effect; when the entertainment video matches the promotion information framework, it will have a more obvious positive effect on the advertising effect. Second, with the two matches of video content type and information framework, the entertainment-oriented video has a more obvious positive effect for the information-oriented video audience; the above results enrich user created content research and improve the quality and communication efficiency of video in social media.

Artificial Intelligence Algorithms, Model-Based Social Data Collection and Content Exploration (소셜데이터 분석 및 인공지능 알고리즘 기반 범죄 수사 기법 연구)

  • An, Dong-Uk;Leem, Choon Seong
    • The Journal of Bigdata
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    • v.4 no.2
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    • pp.23-34
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    • 2019
  • Recently, the crime that utilizes the digital platform is continuously increasing. About 140,000 cases occurred in 2015 and about 150,000 cases occurred in 2016. Therefore, it is considered that there is a limit handling those online crimes by old-fashioned investigation techniques. Investigators' manual online search and cognitive investigation methods those are broadly used today are not enough to proactively cope with rapid changing civil crimes. In addition, the characteristics of the content that is posted to unspecified users of social media makes investigations more difficult. This study suggests the site-based collection and the Open API among the content web collection methods considering the characteristics of the online media where the infringement crimes occur. Since illegal content is published and deleted quickly, and new words and alterations are generated quickly and variously, it is difficult to recognize them quickly by dictionary-based morphological analysis registered manually. In order to solve this problem, we propose a tokenizing method in the existing dictionary-based morphological analysis through WPM (Word Piece Model), which is a data preprocessing method for quick recognizing and responding to illegal contents posting online infringement crimes. In the analysis of data, the optimal precision is verified through the Vote-based ensemble method by utilizing a classification learning model based on supervised learning for the investigation of illegal contents. This study utilizes a sorting algorithm model centering on illegal multilevel business cases to proactively recognize crimes invading the public economy, and presents an empirical study to effectively deal with social data collection and content investigation.

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