• Title/Summary/Keyword: 소셜미디어 평가

Search Result 128, Processing Time 0.033 seconds

A Web Contents Ranking System using Related Tag & Similar User Weight (연관 태그 및 유사 사용자 가중치를 이용한 웹 콘텐츠 랭킹 시스템)

  • Park, Su-Jin;Lee, Si-Hwa;Hwang, Dae-Hoon
    • Journal of Korea Multimedia Society
    • /
    • v.14 no.4
    • /
    • pp.567-576
    • /
    • 2011
  • In current Web 2.0 environment, one of the most core technology is social bookmarking which users put tags and bookmarks to their interesting Web pages. The main purpose of social bookmarking is an effective information service by use of retrieval, grouping and share based on user's bookmark information and tagging result of their interesting Web pages. But, current social bookmarking system uses the number of bookmarks and tag information separately in information retrieval, where the number of bookmarks stand for user's degree of interest on Web contents, information retrieval, and classification serve the purpose of tag information. Because of above reason, social bookmarking system does not utilize effectively the bookmark information and tagging result. This paper proposes a Web contents ranking algorithm combining bookmarks and tag information, based on preceding research on associative tag extraction by tag clustering. Moreover, we conduct a performance evaluation comparing with existing retrieval methodology for efficiency analysis of our proposed algorithm. As the result, social bookmarking system utilizing bookmark with tag, key point of our research, deduces a effective retrieval results compare with existing systems.

K-POP fandom and Korea's national reputation: An analysis on BTS fans in the U.S. (K-POP 팬덤과 한국의 국가 명성: 미국의 BTS 팬 중심 분석)

  • Soojin Kim;Hye Eun Lee
    • Public Diplomacy: Theory and Practice
    • /
    • v.3 no.1
    • /
    • pp.1-19
    • /
    • 2023
  • Objectives: This study aims to discover how the spread of K-POP and the diversification of the Korean Wave affects Korea's national reputation. K-POP stars are diversifying their interactions with fandom by creating an online space to consume various products and services related to their stars and engage in fan activities. Because of this, this study aims to examine the relevance of K-POP to national reputation through a parasocial relationship with K-POP stars by fandom forming a community and utilizing media. Methods: An online survey was conducted in English using the Amazon survey company Mechanical Turk for BTS fans living in the United States. A total of 195 people's data, excluding incomplete responses, were used for the analysis. Results: It was found that BTS fans' social media participation activities themselves did not directly affect Korea's national reputation. But the mediating effect of BTS fans' parasocial relationship was found. That is, BTS fans' social media participation activities had a positive effect on their parasocial relationships with BTS which in turn had a positive effect on their national reputation. Conlusions: The use and participation of BTS fans in social media in Korea's national reputation has no significant effect on itself, but it has been found that it affects the national reputation through forming parasocial relationships. From the study results, the parasocial relationship of K-POP fans can be used as a strategic mechanism to enhance the national image and Korea's national reputation.

A Study on the Reputation of Tourism Services using Social Big Data (소셜 빅 데이터를 이용한 관광서비스 평판에 관한 연구)

  • Song, Eun-Jee;Kang, Min-Shik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2014.10a
    • /
    • pp.671-672
    • /
    • 2014
  • 최근 기업의 효율적인 경영을 위해 다양한 소셜 채널에서 폭발적으로 생성되고 확산되는 빅 데이터를 실시간으로 분석하는 기술이 개발되고 있다. 본 논문에서는 관광서비스에 관해 소셜 미디어 상의 빅 데이터를 이용하여 보다 정확하고 효율적인 정보 수집과 분석이 가능하도록 하기위한 모델구축 방법을 제안하고 관광서비스에 관한 평판을 분석한다. 관광 산업 도메인 네트워크를 활용한 표준화, 일반화 확보를 위해 먼저 B2C 산업군 및 업종별 공통 수집원 추출 및 표준화 분석 체계 수립을 통한 해당 적용분야의 설계안 수립하고 관광객(소비자) 작성 게시글 분석을 위한 산업군 정보 추출하며 관광지, 숙박지, 교통 등 다양한 업종에 대한 분석 수행한다. 관광지에 대한 평가 기준을 기존의 설문이 아닌 SNS 상의 고객 의견을 바탕으로 호감도로 분석한다.

  • PDF

Information Diffusion Difference by Product Type Based on Social Media Type (소셜 미디어 유형에 기반한 제품유형에 따른 정보 확산 차이)

  • Heon Baek
    • Information Systems Review
    • /
    • v.19 no.3
    • /
    • pp.91-104
    • /
    • 2017
  • This study aims to understand the differences in the media characteristics of two types of media, namely, Blog and Twitter, as well as in their factors that affect product information diffusion. To achieve these objectives, the information diffusion pattern is identified by analyzing the number of product-related posts in each media based on the Bass model. The analysis results revealed that the information diffusion speed of hedonic goods was faster than that of utilitarian goods. Regardless of product type, Twitter had a higher imitation effect than Blog, while Blog had a higher innovation effect than Twitter. The results implied that users of Blog tended to find information by themselves while those of Twitter relied more on the others' evaluation than their own subjective evaluations of innovations.

User Perception of Personal Information Security: An Analytic Hierarch Process (AHP) Approach and Cross-Industry Analysis (기업의 개인정보 보호에 대한 사용자 인식 연구: 다차원 접근법(Analytic Hierarch Process)을 활용한 정보보안 속성 평가 및 업종별 비교)

  • Jonghwa Park;Seoungmin Han;Yoonhyuk Jung
    • Information Systems Review
    • /
    • v.25 no.4
    • /
    • pp.233-248
    • /
    • 2023
  • The increasing integration of intelligent information technologies within organizational systems has amplified the risk to personal information security. This escalation, in turn, has fueled growing apprehension about an organization's capabilities in safeguarding user data. While Internet users adopt a multifaceted approach in assessing a company's information security, existing research on the multiple dimensions of information security is decidedly sparse. Moreover, there is a conspicuous gap in investigations exploring whether users' evaluations of organizational information security differ across industry types. With an aim to bridge these gaps, our study strives to identify which information security attributes users perceive as most critical and to delve deeper into potential variations in these attributes across different industry sectors. To this end, we conducted a structured survey involving 498 users and utilized the analytic hierarchy process (AHP) to determine the relative significance of various information security attributes. Our results indicate that users place the greatest importance on the technological dimension of information security, followed closely by transparency. In the technological arena, banks and domestic portal providers earned high ratings, while for transparency, banks and governmental agencies stood out. Contrarily, social media providers received the lowest evaluations in both domains. By introducing a multidimensional model of information security attributes and highlighting the relative importance of each in the realm of information security research, this study provides a significant theoretical contribution. Moreover, the practical implications are noteworthy: our findings serve as a foundational resource for Internet service companies to discern the security attributes that demand their attention, thereby facilitating an enhancement of their information security measures.

The Distribution and Characteristics of Protected Areas and Natural Resources in the Metropolitan Area in Blog Posts (블로그 게시물에 나타난 수도권 보전지역 및 자연자원의 분포 및 특성)

  • Lee, Sung-Hee;Son, Yong-Hoon
    • Journal of the Korean Institute of Landscape Architecture
    • /
    • v.50 no.5
    • /
    • pp.30-39
    • /
    • 2022
  • This study aimed to evaluate the awareness of conservation areas and green resources and analyze their characteristics by utilizing accumulated blog data created for specific places and objects. Among all the conservation areas and resources located in the Seoul metropolitan area, places that can be evaluated were classified, and sites were evaluated by dividing them into ten categories based on the number of blog posts written. As a result of the study, the users' awareness of forests was the highest, and the awareness of conservation areas and green resources was higher in urban areas than suburban areas. The result shows that the conservation areas and green resources located around the metropolitan area serve as natural tourist destinations while being the object of conservation for users. In addition, these results are in the same vein as the research results in domestic and foreign studies on the importance of ecosystem services in urban areas. Unlike existing research methods, this study is meaningful in that it identified the level of user awareness through social media analysis and applied it to evaluating conservation areas and green resources. It can be used as basic data to prepare a management plan considering public interest and awareness or to establish a development plan to increase awareness. In addition, the cumulative amount of blog content used in the study is meaningful in that it can identify and monitor users' interest in the space. However, it was not possible to examine the contents of each blog in detail because it was evaluated based on the amount of social media content. In addition, in the case of conservation areas and green resources, it is necessary to review and supplement the evaluation contents by adding keyword analysis and content analysis for the site to be evaluated as content other than the pure viewpoint of users may be mixed with development issues.

Evaluation Method of Big Data Efficiency (빅 데이터의 효율성 시험 평가 방법)

  • Yang, Hyeong-Sik;Kim, Sun-Bae
    • Journal of Digital Convergence
    • /
    • v.11 no.8
    • /
    • pp.31-39
    • /
    • 2013
  • Recently, integration between social media and the industry has been expended, and as the usage of Internet through various smart devices of not only the existing PC but also smart phone, tablet PC and so on, a lot of unstructured data has occurred, leading to increased interest on big data system. According to the institutes which specialize in market research, the data amount is predicted to increase by 9 folds in the next 5 years when compared to the present, and the big data market is also expected to grow bigger. This dissertation evaluates the efficiency test of big data through analysis on the requirements by identifying and fragmenting the items of efficiency quality evaluation that big data should be equipped with.

Prototype Design and Development of Online Recruitment System Based on Social Media and Video Interview Analysis (소셜미디어 및 면접 영상 분석 기반 온라인 채용지원시스템 프로토타입 설계 및 구현)

  • Cho, Jinhyung;Kang, Hwansoo;Yoo, Woochang;Park, Kyutae
    • Journal of Digital Convergence
    • /
    • v.19 no.3
    • /
    • pp.203-209
    • /
    • 2021
  • In this study, a prototype design model was proposed for developing an online recruitment system through multi-dimensional data crawling and social media analysis, and validates text information and video interview in job application process. This study includes a comparative analysis process through text mining to verify the authenticity of job application paperwork and to effectively hire and allocate workers based on the potential job capability. Based on the prototype system, we conducted performance tests and analyzed the result for key performance indicators such as text mining accuracy and interview STT(speech to text) function recognition rate. If commercialized based on design specifications and prototype development results derived from this study, it may be expected to be utilized as the intelligent online recruitment system technology required in the public and private recruitment markets in the future.

A Study about Scholarly Impact Measurement through Altmetrics (Altmetrics를 통한 연구의 영향력 평가에 관한 연구)

  • Cho, Jane
    • Journal of Korean Library and Information Science Society
    • /
    • v.46 no.1
    • /
    • pp.65-81
    • /
    • 2015
  • Altmetircs is the new method to measure social impact of research result which couldn't be found by traditional way, through measuring how much research result is reacting to social media. As academic communication has been diverse and OA repository which can preserve diverse type of article has been activated, New paradigm that measure impact of articles through multifaceted and complex way has been started. This study considers background, status of application, pros and cons about altmetircs. And by using Impactstory which is open source based tool, analyses the research output about digital library of Korea, china and japan which is published in international journal. Besides, analyses correlation between Altmetricss and citation rates. As results, "saved" shows higher than "cited" in library research analysis, it means that even though articles are not cited by followed study, there are a lot of articles that has saved in reference management tool. And positive correlation(r = 0.718) exists between "saved" and "cited", it can be inferred that Altmetricss complement the bibliometrics based evaluation system. Meanwhile, Korean researches are saved more in reference management tool than other countries.

The Impact of Brand's Backstage Information Disclosure via Social Media Contents on Consumer Responses: Adoption of Dramaturgical Theory (브랜디드 콘텐츠를 통한 브랜드 무대후면영역(backstage) 정보 노출이 소비자 반응에 미치는 영향: 연극적 접근이론의 적용)

  • Moon, Jang Ho
    • The Journal of the Korea Contents Association
    • /
    • v.15 no.4
    • /
    • pp.139-152
    • /
    • 2015
  • One of the most latest trends in today's marketing practice is to create branded contents for interacting with online consumers. Marketers are increasingly adopting behind-the-scene contents which disclose a brand's backstage information in their contents marketing efforts. The current study conceptualizes this behind-the-scene storytelling based on dramaturgical theory and investigates its impacts on consumer responses. The study also examines how consumers advertising skepticism level would influence on the evaluation of branded contents. In addition, the moderating role of advertising skepticism in evaluating brand's backstage information is investigated. The findings suggests that consumers who are exposed to brand's backstage indicate greater information attitude, brand attitude, and purchase intention than those who are not exposed to brand's backstage. Also consumers who have lower advertising skepticism evaluated branded contents more positively than high ad skepticism consumers. Lastly, the moderating role of advertising skepticism on the impact of brand's backstage disclosure is reported.