• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.1-8
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• 2019

Recently, consumer distrust has deepened due to blog posts focusing only on public relations due to 'viral marketing'. In addition, marketing projects such as false writing or exaggerated use of the latter phase are one of the most popular programs in 2016 as they are cheaper and more effective than newspaper and TV ads, and the size of advertising costs is set to be a major means of advertising at '3 trillion 394.1 billion won. From this 'viral marketing,' it has become an Internet environment that needs tools to filter information. The fake review filtering application ADDAVICHI presented in this paper extracts, analyzes, and presents blog keywords, total number of searches, reliability and satisfaction when users search for content such as "event" and "taste restaurant." Reliability shows the number of ad posts on a blog, the total number of posts, and satisfaction shows a clean post with confidence divided into positive and negative posts. Finally, the keyword shows a list of the top three words in the review from a positive post. In this way, it helps users interpret information away from advertising.

• The KIPS Transactions:PartD
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• v.18D no.2
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• pp.101-110
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• 2011

According to the increasing use of blogs, a huge number of posts have appeared in a blogosphere. This causes web surfers to face difficulty in finding the quality posts in their search results. As a result, post ranking algorithms are required to help web serfers to effectively search for quality posts. Although there have been various algorithms proposed for web-page ranking, they are not directly applicable to post ranking since posts have their unique features different from those of web pages. In this paper, we propose post ranking algorithms that exploit actions performed by bloggers. We also evaluate the effectiveness of post ranking algorithms by performing extensive experiments using real-world blog data.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.866-867
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• 2010

블로그 이용이 활성화됨에 따라 포스트 랭킹 알고리즘의 필요성이 증가하고 있다. 본 논문에서는 액션의 발생 순서를 이용하여 포스트에 랭킹을 부여하는 방법을 제안한다. 또한, 실제 블로그 데이터를 이용한 실험을 통하여 본 논문에서 제안하는 방법의 성능의 우수성을 보인다.

• Journal of Korean Society of Rural Planning
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• v.27 no.4
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• pp.43-54
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• 2021

This study analysed changes in rural tourism between before and after COVID-19 using LDA topic analysis. In order to understand the changes in rural tourism, blog data including the keyword 'Gochang-gun travel' was used. As a result of LDA topic analysis with blog data retrieved, the study found nine topics in 2019 and 2020. 2019 and 2020 are, generally, consistent in topics, but the three topics related to rural experiential tourism that appeared in 2019 did not appear in 2020. In 2020, three new topics emerged: Beach vacations and campings. New travel activities of noncontact with other people(Untact tourism in Korean context) in the COVID-19 era, and The negative impacts on travel businesses and behaviours from COVID-19. Especially, the adverse effects of COVID-19 have made an enormous decline in rural experience tourism destinations and cancellation of local festivals. On the other hand, new tourism activities have emerged due to COVID-19. Those activities have included camping, drive-thru destinations, and cycling. Ecological and natural tourist sites such as Ungok Wetland, Seonunsan Mountain, Seonunsa Temple, and Gusipo Beach appeared. These tourist destinations have a quiet atmosphere and less density place noncontacting with other people when visiting. Also, because overseas travel has become difficult, long-term stay travel in rural areas has appeared. This study indicates that COVID-19 has less impacted rural tourism than other tourism destinations with these positive and negative impacts.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.189-193
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• 2008

블로그는 개인의 생각을 온라인상의 문서인 포스트로 남기는 일종의 개인 홈페이지이다. 웹 문서와 포스트는 다른 특징을 가지고 있기 때문에 웹 문서 랭킹 알고리즘을 포스트에 적용하기에는 문제점이 존재한다. 본 논문에서는 포스트의 랭킹을 위한 포스트-블로거 그래프를 정의하고, 기존의 웹 문서 랭킹 알고리즘을 포스트-블로거 그래프에 적합하게 변형한 포스트 랭킹 알고리즘을 제안한다. 그리고 실제 블로그 데이터를 통하여 포스트 랭킹 알고리즘의 성능을 분석하고, 이를 바탕으로 블로그에 적합한 포스트 랭킹 알고리즘을 선별한다.

• Annual Conference on Human and Language Technology
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• 2007.10a
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• pp.122-127
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• 2007

최근 대표적인 1인 미디어의 형태인 블로그는 개인 기록의 수단뿐만 아니라 기업의 홍보에까지 널리 사용되는 인터넷 미디어이다. 그러나 누구나 글을 쓸 수 있다는 자유로움 이면에 이를 이용한 덧글 스팸이 성행이 성행하고 있다. 일반적인 스팸 필터의 경우 그 해당 덧글만을 가지고 스팸 필터링을 한다. 그러나 특성상 스팸인 덧글이 정상인 덧글보다 상대적으로 짧기 때문에 일반적인 덧글 자체만의 필터링 방법으로는 높은 정확도를 기대하기 힘든 단점이 있다. 본 논문에서는 정상인 덧글과 본문간의 내용상의 유사도가 있음을 가정해 이런 정보를 역카이제곱 분류기에 동시출현(co-occurrence) 정보로 부여함으로써 스팸 필터의 정확도를 높이고자 했으며, 실제 그러한 정보를 추가함으로 단순한 확률기반 스팸 필터링 방법을 사용하는 것보다 스팸 필터의 전반적인 성능이 상승되었음을 실험 결과를 통해 알 수 있었다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.3
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• pp.1-10
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• 2012

Recently, Social Network services(SNS) is gaining popularity as Facebook and Twitter. Popularity of SNS leads to active service and social data is to be increased. Thus, social search is remarkable that provide more meaningful information to users. but previous studies using social network structure, network distance is calculated using only familiarity. It is familiar as distance on network, has been demonstrated through several experiments. If taking advantage of social context data that users are using SNS to produce, then familiarity will be helpful to evaluate further. In this paper, reflect user's attention through comments and tags, Facebook context is determined using familiarity between friends in SNS. Facebook context is advantageous finding a friend who has a similar propensity users in context of profiles and interests. As a result, we provide a blog post that interest with a close friend. We also assist in the retrieval facilities using Near Field Communication(NFC) technology. By the experiment, we show the proposed soicial search method is more effective than only tag.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.49-65
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• 2012

This study aims to investigate the factors influencing followers' continuous usage intention of twitter based on Elaboration Likelihood Model. In particular, central route(information itself) and peripheral route(twitterian's trustworthiness) are tested to reveal which has a more influential role in effecting the continuous usage intention of power-twitter. Furthermore, this study tests the relationship of users' attitude and continuous usage intention. The results indicate that argument quality, accuracy(central route), source expertise and source trustworthiness (peripheral route) have an influence on attitude. However, trustworthy on central route is not significant. Argument quality, trustworthy, accuracy(central route) and source expertise(peripheral route) have an influence on perceived usefulness. But source trustworthiness on peripheral is not significant. Attitude has an influence on perceived usefulness, and attitude and perceived usefulness both have an influence on perceived usefulness. In conclusion, central route is more influential than peripheral route in forming a positive attitude towards arguments, which in turn leads to the perception of twitter's usefulness, and in the end brings the continuous usage intention of twitter.

• Information Systems Review
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• v.8 no.3
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• pp.153-174
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• 2006

The purpose of this study is to identify the factors affecting users' continuing use of Hedonic Information Systems(HIS). Focusing on users' post-adoption behaviors, this study proposes a research model which incorporates technology acceptance theory into expectation disconfirmation theory and investigates the causal relationship among five factors; perceived usefulness, perceived ease of use, disconfirmation, user satisfaction, and continuance intention to use a blog as HIS. The results show that satisfaction is significantly influenced by disconfirmation and post expectations(perceived usefulness and perceived ease of use), and in particular the impact of disconfirmation on user satisfaction is stronger than those of perceived usefulness and perceived ease of use. The results also indicate that while perceived usefulness and user satisfaction have significant impacts on continuance intention, perceived ease of use does not do so and has only an indirect impact on continuance intention through perceived usefulness and user satisfaction.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.242-256
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• 2011

The activity to share personal daily life through social media is becoming more common. In this case, photographs as well as text are used a lot; it has been as easy as winking to clip others' photographs just as it's very easy to take and post pictures. If the picture is the photographic work protected by the copyright law, however, the clipping should be paid close attention. If you use others' photographic works without authorization, you infringe their copyright; if you post them on your social media such as blog, you infringe the right of reproduction, interactive transmission and exhibition. Even though the clipping is permitted, if you'd like to use the photographic works for a profit-making purpose, you should get additional authorization. Others' photographic works are occasionally altered and used for the purpose of avoiding the argument in relation to the infringement of copyright; this act means that it's the infringement of the right of reproduction, the right to preserve the integrity and the right of the production of derivative works for degrees of alteration. We can download others' photographic works with a few mouse clicks thanks to the technology of capturing the screen; we have to recognize that all the acts technically possible are not always legal.