• 제목/요약/키워드: BLOGs

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Exploring Determinants of Employees' Adoption of Enterprise 2.0 Applications: A Case of Enterprise Social Network

  • 왕도;정영수;정철호
    • 한국데이타베이스학회:학술대회논문집
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    • 한국데이타베이스학회 2010년도 춘계국제학술대회
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    • pp.309-318
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    • 2010
  • Nowadays, more and more organizations are implementing the USE' of emerging enterprise 2.0 applications consciously or unconsciously such as Blogs, Wikis, Social Networks, etc. However, as the end users, employee's attitude toward adoption of enterprise 2.0 applications still lacks theoretical support. On the other hand, many organizations which have implemented enterprise2.0 applications are confused about how to promote employees' use of enterprise 2.0 applications. The purpose of this study aims to provide a conceptual examination the determinants that affect employee's adoption of these enterprise2.0 applications using the revised UTAUT model. To test the model, structural equation modeling will be employed to analyze data collected from two organizations in which experimental tests of enterprise social network platforms are conducted. The findings of this research will show effective and reasonable ways of promoting employees' participations in an enterprise 2.0 environment so as to maximize the benefits generated from implementing enterprise 2.0 applications. This research will also provide a theoretical foundation for academics and practical implications for development of enterprise 2.0 applications.

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한국 블로그 공간의 시간의 흐름에 따른 특성 변화 (Characteristics of Korean Blogosphere over Time)

  • 하지운;배덕호;김상욱
    • 전자공학회논문지CI
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    • 제48권6호
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    • pp.81-87
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    • 2011
  • 블로그가 웹 공간에서 중요한 정보 전달 매체로 떠오름에 따라, 블로그 공간의 현상들이 중요한 사회 현상으로 취급되게 되었다. 이러한 블로그 공간의 출현은 기업들에게 블로그 공간을 대상으로 하는 새로운 비즈니스 모델 수립의 기회를 제공한다. 블로그 공간은 시간이 경과함에 따라 지속적으로 변화한다. 블로그 공간에서의 성공적인 비즈니스 정책 수립을 위해서는 시간의 흐름에 따른 블로그 공간의 변화에 대한 이해가 필요하다. 본 논문에서는 한국 블로그 공간 고유의 특징들이 한국 블로그 공간의 특성에 미치는 영향에 중점을 두어 한국 블로그 공간의 변화에 대해 심도 있는 분석을 수행한다. 본 연구의 결과가 효과적인 알고리즘들을 개발 및 새로운 비즈니즈 정책 수립에 도움이 될 것으로 기대한다.

A Preliminary Examination on the Multimedia Information Needs and Web Searches of College Students in Korea

  • Chung, Eun-Kyung
    • 한국문헌정보학회지
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    • 제44권4호
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    • pp.95-114
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    • 2010
  • Multimedia searching is an important activity on the Web, especially among the younger generation. The purpose of this study aims to examine college students’ multimedia information needs and searching on the Internet. While there is a clear pattern among students with respect to their multimedia uses, searching sources, relevance criteria and searching barriers, some differences exist especially according to searching of different multimedia types such as image, audio and video. For multimedia uses, information/data-focused uses are frequently found in image and video, while the use of audio is mainly for object-focused searches. As multimedia searching sources, audio and video files present a similar pattern of being high in media specific searching sources and low in generic search engines. Browsing through related blogs and homepages is an important part of searching for media files accounting for approximately 20% of total search for each media. The relevance criteria used by study participants when search for image files was primarily concerned with topicality while the contextual and media quality in the audio and video types are also considered important. Searching barriers for audio and video files are categorized into three broad aspects, including access and search quality, preview limitations and collection limitations, while obstacles for image files searching include access difficulties and low qualities of various collection.

A Big Data Study on Viewers' Response and Success Factors in the D2C Era Focused on tvN's Web-real Variety 'SinSeoYuGi' and Naver TV Cast Programming

  • Oh, Sejong;Ahn, Sunghun;Byun, Jungmin
    • International Journal of Advanced Culture Technology
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    • 제4권2호
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    • pp.7-18
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    • 2016
  • The first D2C-era web-real variety show in Korea was broadcast via tvN of CJ E&M. The web-real variety program 'SinSeoYuGi' accumulated 54 million views, along with 50 million views at the Chinese portal site QQ. This study carries out an analysis using text mining that extracts portal site blogs, twitter page views and associative terms. In addition, this study derives viewers' response by extracting key words with opinion mining techniques that divide positive words, neutral words and negative words through customer sentiment analysis. It is found that the success factors of the web-real variety were reduced in appearance fees and production cost, harmony between actual cast members and scenario characters, mobile TV programing, and pre-roll advertising. It is expected that web-real variety broadcasting will increase in value as web contents in the future, and be established as a new genre with the job of 'technical marketer' growing as well.

소셜 데이터의 주된 감성분석에 대한 연구 (Study on Principal Sentiment Analysis of Social Data)

  • 장필식
    • 한국컴퓨터정보학회논문지
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    • 제19권12호
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    • pp.49-56
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    • 2014
  • 본 논문에서는 대용량의 문서, 인터넷 댓글, 소셜 데이터, 메시지 텍스트 등으로부터 표준, 일상적 언어, 및 은어(隱語), 비속어, 약어, 이모티콘 등을 감성 분석함으로써, 복합적인 감성 중 근간이 되는 주 감성들을 측정하고 평가하는 방법을 제안한다. 제안된 방법론은 IRLBA(Implicitly Restarted Lanczos Bidiagonalization Algorithm)을 활용하여 규모가 큰 희소행렬에 대한 주성분분석을 실시하며, 데이터 취합, 메시지 분석, 감성 평가, 감성 분석 및 통합 그리고 결과물 시각화 모듈로 구성된다. 본 연구를 통해 제안된 방법론은 소셜 데이터의 감성분석의 정확도를 향상시키고 감성분석의 활용범위를 확장시키는데 있어 도움을 줄 수 있을 것으로 기대된다.

Opinion-Mining Methodology for Social Media Analytics

  • Kim, Yoosin;Jeong, Seung Ryul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권1호
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    • pp.391-406
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    • 2015
  • Social media have emerged as new communication channels between consumers and companies that generate a large volume of unstructured text data. This social media content, which contains consumers' opinions and interests, is recognized as valuable material from which businesses can mine useful information; consequently, many researchers have reported on opinion-mining frameworks, methods, techniques, and tools for business intelligence over various industries. These studies sometimes focused on how to use opinion mining in business fields or emphasized methods of analyzing content to achieve results that are more accurate. They also considered how to visualize the results to ensure easier understanding. However, we found that such approaches are often technically complex and insufficiently user-friendly to help with business decisions and planning. Therefore, in this study we attempt to formulate a more comprehensive and practical methodology to conduct social media opinion mining and apply our methodology to a case study of the oldest instant noodle product in Korea. We also present graphical tools and visualized outputs that include volume and sentiment graphs, time-series graphs, a topic word cloud, a heat map, and a valence tree map with a classification. Our resources are from public-domain social media content such as blogs, forum messages, and news articles that we analyze with natural language processing, statistics, and graphics packages in the freeware R project environment. We believe our methodology and visualization outputs can provide a practical and reliable guide for immediate use, not just in the food industry but other industries as well.

NFC태그에 저장 가능한 마이크로 웹페이지 (A Micro-Webpage Stored in NFC Tag)

  • 최복동;은성배
    • 대한임베디드공학회논문지
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    • 제7권1호
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    • pp.1-7
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    • 2012
  • A Smartphone has an ability accessing Internet by URL stored in NFC(Near Field Communication) Tag for storing the information of items, blogs and web pages. Because the system works through the Internet with URL, however, it needs to pay some costs like communication fee and time. If we can store the web page on the tags, we can save the communication overhead. But they have too small memory to store it. In this paper, we introduce the Micro-Webpage technology which can be stored in NFC tag or QR(Quick Response) code. To make a Micro-Webpage, we remove control tags from the web page to leave a user original content. The removed control tags are stored in our smartphone application as a template. The user content is also compressed to a smaller one by an lossless compression algorithm. When a tag is read, the stored content is decompressed and, it is combined with the template to make the original web page. We have implemented a prototype of Micro-Webpage system on Android platform and confirmed that the prototype has reasonable performance improvements in saving memory and loading web page time.

블로그를 사용한 플립러닝 설계 (Design of Flipped Learning using Blog)

  • 김분희
    • 한국전자통신학회논문지
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    • 제13권2호
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    • pp.391-396
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    • 2018
  • 플립러닝 학습 모델이 등장하면서 다양한 실험이 진행되고 있다. 교수법으로써 플립러닝을 적용하기 위해서는 대부분 사전에 만들어 둔 학습 동영상이 요구된다. 이 경우 대학에서 중간고사와 기말고사 기간을 제외하고 13주 분량에 대해 미리 만들어야 하는 부담이 있다. 또한 이러한 시스템은 학습 내용의 변화를 주기 힘들기 마련이다. 본 논문에서는 기존 플립러닝 시스템의 환경 변화에 적응성이 떨어지는 특성을 개선하는데 블로그 사용을 제안한다. 블로그는 인터넷에 익숙한 학습자에게 편안한 구조라는 점도 하나의 장점이 될 수 있다. 본 연구에서는 하나의 교과목을 대상으로 블로그를 적용한 플립러닝 학습을 진행하여 실험한다. 결과적으로, 연구의 유의미한 학습 효과를 평가하고자 한다.

블로그 이용자의 네트워크 구조적 특성과 관계적 행위간의 상호 작용 메커니즘에 대한 정성적 연구 (A Study on the Relationship between Social Network Structure and Relational Behavior in Blogsphere)

  • 김혜진;정승기;이기호;김진우
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2006년도 학술대회 2부
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    • pp.733-743
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    • 2006
  • 블로그는 현재 광범위하게 대중성을 얻고 있는 온라인 커뮤니케이션의 최근 형태이며, 블로그 사용이 빠른 속도로 주류를 형성해 나가고 있다. 초기 HCI 분야에서의 온라인 커뮤니케이션(CMC)에 대한 연구는 사용자가 시스템의 소프트웨어나 하드웨어의 인터페이스를 어떻게 대하는가 하는 점에 초점이 맞춰졌었지만, 최근에는 온라인 커뮤니티, 블로그처럼 사용자들이 인터넷을 통한 사회화가 어느 때보다 활발하게 이루어지고 있기 때문에, 시스템의 사용성에 대한 고려만으로는 충분하지가 않다. 즉, 시스템이 어떻게 사용자들 간에 사회적 상호 교류를 지원할 수 있고, 이러한 사회적 교류가 원활하게 이루어지기 위해서 시스템이 어떻게 설계되어야 하는 지에 대한 이해가 필요하다. 따라서 본 연구에서는 실제 블로그 이용자들을 대상으로 이들과 상호 연결된 블로거들과의 온라인에서의 관계적 행위를 살펴보고, 또한 이러한 행위가 네트워크 구조적 특성과는 어떠한 상관 관계를 가지는지를 심층 인터뷰와 사회 네트워크 분석법을 이용하여 탐색적으로 알아보고자 한다. 본 연구 결과를 통해서 얻은 사용자들의 온라인 교류 시 보이는 행위적 특성을 바탕으로 온라인 개인 미디어 서비스 설계에 대한 가이드라인을 제안해 보고자 한다.

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Malaysia's 13th General Election: Political Communication and Public Agenda in Social Media

  • Sern, Tham Jen;Zanuddin, Hasmah
    • Asian Journal for Public Opinion Research
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    • 제1권2호
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    • pp.73-89
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    • 2014
  • Everyone has a voice and can broadcast it to the world. We hear about the old maxim of media do not tell people what to think but what to think about. Under this theory or approach, a key function of political communication is to make the public think about an issue in a way that is favorable to the sender of the message. In a democracy, political communication is seen as crucial for the building of a society where the state and its people feel they are connected. Thus, this is a study on how social media (e.g., Facebook, blogs, and YouTube) were used in the domain of Malaysian politics during the 13th general election campaigning period in order to set the agenda to form public opinion. The study found that Facebook was the most popular social media tool that political parties actively engaged with during the 13th general election campaign period. Apart from that, issues pertaining to the election were significantly highlighted by the political parties in social media, especially Facebook. However, other issues that were also important to the people such as the economy, crime, and education were not sufficiently highlighted during the election campaign period. This indicates that the political parties influence the public on what to think about using social media.