• Title/Summary/Keyword: 파워블로그

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Determinants of Trust in Power Blogs and Their Effect on Purchase Intention (파워블로그의 신뢰 요인이 제품 및 서비스 구매 의도에 미치는 영향)

  • Yun, Hae-Jung;Ahn, Seung-Hye;Lee, Choong-C.
    • The Journal of the Korea Contents Association
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    • v.12 no.2
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    • pp.411-419
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    • 2012
  • This study is focusing on factors influencing trust in power blogs, and the effect of trust on users' attitude and purchase intention. The research model is based on the theory of online trust formation process and content quality. The statistical analysis was conducted through the survey of 122 power blog users. Research findings show that scope, accuracy, uniqueness, links, quality of wring, and reputation of power blogs significantly affect trust. Also, trust was found to have a significant influence on the users' attitude and purchasing intention on products/services.

A Method of Blog Evaluation based on Non-Textual information of Blogs (블로그의 구조적인 정보를 고려한 블로그 가치평가 방법)

  • Park, Seong-Keon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1057-1060
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    • 2013
  • 블로그가 1인미디어로서 영향력을 행사하고 있으며 기업과 함께 마케팅과 광고가 진행되고 있을 정도로 산업적으로 다양하게 사용되고 있으나 블로그에 대한 평가는 대부분 정성적으로 행해지고 있다. 하지만 수십 수백만 개의 블로그를 수작업으로 확인하는 것은 쉬운 일이 아니며 자동화된 정량적인 평가가 시급한 실정이다. 본 논문에서는 블로그의 구조적인 특성을 이용한 평가방법을 제안하고 포털사이트 네이버에서 매년 발표되는 파워블로그 중 요리, 육아, 미술/디자인 카테고리의 파워블로그를 비교하여 성능을 평가한다. 평가의 방법은 일반적인 미디어 파워의 평가방법인 구독자수를 비교하였으며 본 논문에서 제시하고 있는 평가의 방법을 통해서 얻어진 블로그가 높은 수의 구독자를 가지고 있음이 판명되어 정성적인 평가 보다 높은 성능을 보임을 알 수 있었다.

Attributes of Trusted Blog Contents: Through Analysis of Product-reviews in Powerblogs and Consumer Survey (신뢰받는 블로그 콘텐츠의 특성 탐구: 파워블로그의 사용후기분석과 소비자 조사를 통하여)

  • Soh, Hyeonjin
    • The Journal of the Korea Contents Association
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    • v.13 no.1
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    • pp.73-82
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    • 2013
  • The purpose of this study is to explore attributes of trusted blog product-reviews and to examine the weight of each attribute. First, the attributes of trusted blog product-reviews were collected through consumer interviews. Second, the trust attributes were examined in terms of their relative importance. The results are: 1) Thirty-five of trust attributes were discovered and categorized into 'popularity', 'presence', 'attractiveness', 'trustworthiness', and 'expertise'. 2) In general, attributes reflecting usefulness, trustworthiness and attractiveness seemed the most important trust factors. 3) 'presence', which have not been highlighted so far in trust research, was emerged as an important trust factor in the web blog context. Theoretical and practical implications were discussed.

Determining Diffusion Power Users in a Blog Network (블로그 연결망에서 파급력을 가진 파워 유저의 파악 기법)

  • Lim, Seung-Hwan;Kim, Sang-Wook;Park, Sun-Ju
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.4
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    • pp.377-382
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    • 2010
  • For business purposes, it is important to identify diffusion power users, a group of users who have big influence on other users in diffusing content. In this paper, we use the independent cascade model for determining diffusion power users, and to do so, we need a method for calculating the assimilation probability between users. This paper proposes the concepts of user delivery power and a way to quantifying the value of this. User delivery power is used to compute the assimilation probability with user content power. We analyze the proposed method by comparing its performance with those of existing methods through experiments using a real blog network data.

Determining Diffusion Power Users in Blog Networks (블로그 연결망에서 파급 파워 유저의 파악)

  • Ho-Yong Son;Seung-Hwan Lim;Sang-Wook Kim;Sunju Park
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.225-228
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    • 2008
  • 최근 인터넷 기술의 발달로 인해서 온라인에서 다양한 사회연결망이 출현하였고, 이를 분석하기 위한 연구가 활발히 진행되고 있다. 온라인 사회연결망의 대표적인 예로 블로그 연결망을 들 수 있다. 블로그 연결망에서는 블로그 사용자들이 작성한 게시글들이 다양한 방식을 통하여 다른 사용자들에게 전파된다. 본 논문에서는 이를 게시글이 파급되었다고 부르고, 게시글을 파급한 사용자는 게시글을 소유하고 있는 사용자에게 동화되었다고 부른다. 블로그 내에는 다수의 사용자들에게 컨텐츠를 파급시키는 영향력 있는 사용자들이 존재한다. 본 논문에서는 블로그 연결망에서 파급 파워 유저를 파악하기 위해서 독립 전파 모델을 이용한다. 독립 전파 모델의 수행을 위해서는 사용자들 간의 동화확률을 부여하는 것이 필수적이다. 따라서 본 논문에서는 사용자의 컨텐츠 파워, 재생산 파워의 개념과 이를 계량화 하는 방법을 제안하고, 이 값들을 이용하여 사용자간의 동화확률을 부여하는 방안을 제안한다. 끝으로, 실제 블로그 연결망에서 제안하는 기법과 기존의 기법을 이용하여 파워 유저들을 파악하는 실험을 수행하고, 실험결과를 비교 및 분석한다.

A Method for Finding Contents-Power Users in Blog Networks (블로그 연결망에서 컨텐츠 파워 유저의 파악 방안)

  • Kim, Hyung-Jun;Lim, Seung-Hwan;Kim, Sang-Wook;Park, Sun-Ju
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.67-68
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    • 2007
  • 블로그 연결망 내에는 다른 사용자들이 블로그 서비스를 활발하게 이용하도록 유도하는 역할을 하고 있는 특별한 사용자들이 존재한다. 본 논문에서는 이러한 사용자들 가운데 컨텐츠의 영향력이 큰 사용자들을 컨텐츠 파워 유저라고 정의한다. 본 논문에서는 블로그 서비스 활성화를 위한 정책을 수립할 수 있도록 컨텐츠 파워 유저들을 파악하는 기법에 대하여 논의한다. 우선, 각 사용자가 소유하고 있는 각 게시글들의 컨텐츠 영향력을 계량화하는 방법을 제안하고, 이 값들의 합을 이용하여 해당 사용자의 컨텐츠 영향력을 계산하는 방법을 제안한다.

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Determining Contents Power Users for Revitalizing Blog Networks (블로그 연결망 활성화를 위한 컨텐츠 파워 유저의 파악 방안)

  • Lim, Seung-Hwan;Kim, Sang-Wook;Park, Sun-Ju;Lee, Joon-Ho
    • Journal of KIISE:Databases
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    • v.36 no.6
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    • pp.411-421
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    • 2009
  • In a blog network, there are special users who induce other users to actively utilize blog services. In this paper, these users whose contents exhibit large influence over other bloggers are defined as 'Content Power Users' (CPUs). It is important to accurately determine who content power users are in a blog network in order to establish business policies that will stimulate usage of blog services. In this paper, we discuss a novel method of determining content power users. First, we propose a system of measuring the influence of content of each post owned by individual users. Then, by adjusting the measured values based on the time of exposure and adding them up, we calculate the power of influence for corresponding users. Finally, by applying the proposed method to actual blog networks and comparing the selected power users to those of a preexisting method, we analyze different methods of determining power users. The experimental results demonstrate that our method of determining power users reflects well dynamic changes in a blog network.

The Effect of Consumers' Value Motives on the Perception of Blog Reviews Credibility: the Moderation Effect of Tie Strength (소비자의 가치 추구 동인이 블로그 리뷰의 신뢰성 지각에 미치는 영향: 유대강도에 따른 조절효과를 중심으로)

  • Chu, Wujin;Roh, Min Jung
    • Asia Marketing Journal
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    • v.13 no.4
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    • pp.159-189
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    • 2012
  • What attracts consumers to bloggers' reviews? Consumers would be attracted both by the Bloggers' expertise (i.e., knowledge and experience) and by his/her unbiased manner of delivering information. Expertise and trustworthiness are both virtues of information sources, particularly when there is uncertainty in decision-making. Noting this point, we postulate that consumers' motives determine the relative weights they place on expertise and trustworthiness. In addition, our hypotheses assume that tie strength moderates consumers' expectation on bloggers' expertise and trustworthiness: with expectation on expertise enhanced for power-blog user-group (weak-ties), and an expectation on trustworthiness elevated for personal-blog user-group (strong-ties). Finally, we theorize that the effect of credibility on willingness to accept a review is moderated by tie strength; the predictive power of credibility is more prominent for the personal-blog user-groups than for the power-blog user groups. To support these assumptions, we conducted a field survey with blog users, collecting retrospective self-report data. The "gourmet shop" was chosen as a target product category, and obtained data analyzed by structural equations modeling. Findings from these data provide empirical support for our theoretical predictions. First, we found that the purposive motive aimed at satisfying instrumental information needs increases reliance on bloggers' expertise, but interpersonal connectivity value for alleviating loneliness elevates reliance on bloggers' trustworthiness. Second, expertise-based credibility is more prominent for power-blog user-groups than for personal-blog user-groups. While strong ties attract consumers with trustworthiness based on close emotional bonds, weak ties gain consumers' attention with new, non-redundant information (Levin & Cross, 2004). Thus, when the existing knowledge system, used in strong ties, does not work as smoothly for addressing an impending problem, the weak-tie source can be utilized as a handy reference. Thus, we can anticipate that power bloggers secure credibility by virtue of their expertise while personal bloggers trade off on their trustworthiness. Our analysis demonstrates that power bloggers appeal more strongly to consumers than do personal bloggers in the area of expertise-based credibility. Finally, the effect of review credibility on willingness to accept a review is higher for the personal-blog user-group than for the power-blog user-group. Actually, the inference that review credibility is a potent predictor of assessing willingness to accept a review is grounded on the analogy that attitude is an effective indicator of purchase intention. However, if memory about established attitudes is blocked, the predictive power of attitude on purchase intention is considerably diminished. Likewise, the effect of credibility on willingness to accept a review can be affected by certain moderators. Inspired by this analogy, we introduced tie strength as a possible moderator and demonstrated that tie strength moderated the effect of credibility on willingness to accept a review. Previously, Levin and Cross (2004) showed that credibility mediates strong-ties through receipt of knowledge, but this credibility mediation is not observed for weak-ties, where a direct path to it is activated. Thus, the predictive power of credibility on behavioral intention - that is, willingness to accept a review - is expected to be higher for strong-ties.

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Automatic Classification of Advertising Restaurant Blogs Using Machine Learning Techniques (기계학습기법을 이용한 광고 외식 블로그의 자동분류)

  • Chang, Jae-Young;Lee, Byung-Jun;Cho, Se-Jin;Han, Da-Hye;Lee, Kyu-Hong
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.2
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    • pp.55-62
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    • 2016
  • Recently, users choosing a restaurant basedon information provided by blogs are increasing significantly. However, those of most blogs are unreliable since domestic restaurant blogs are occupied by advertising postings written by 'power bloggers'. Thus, in order to ensure the reliability of blogs, it is necessary to filter the advertising blogs which are sometimes false or exaggerated. In this paper, we propose the method of distinguishing the advertising blogs utilizing an automatic classification technique. In the proposed technique, we first manually collected advertising restaurant blogs, and then analyzed features which are commonly found in those blogs. Using the extracted features, we determined whether a given blog is advertising one applying automatic classification algorithms. Additionally, we select the features and the algorithm which guarantee optimal classification performance through comparative experiments.