• Title/Summary/Keyword: 리뷰신뢰성

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Performance Evaluation of Review Spam Detection for a Domestic Shopping Site Application (국내 쇼핑 사이트 적용을 위한 리뷰 스팸 탐지 방법의 성능 평가)

  • Park, Jihyun;Kim, Chong-kwon
    • Journal of KIISE
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    • v.44 no.4
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    • pp.339-343
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    • 2017
  • As the number of customers who write fake reviews is increasing, online shopping sites have difficulty in providing reliable reviews. Fake reviews are called review spam, and they are written to promote or defame the product. They directly affect sales volume of the product; therefore, it is important to detect review spam. Review spam detection methods suggested in prior researches were only based on an international site even though review spam is a widespread problem in domestic shopping sites. In this paper, we have presented new review features of the domestic shopping site NAVER, and we have applied the formerly introduced method to this site for performing an evaluation.

The Effects of Highlighted Review Type on Consumer's Perception and Behavior: Focusing on Review Usefulness and Skepticism (강조된 리뷰 노출 방식에 따른 소비자 행동 연구: 리뷰의 유용성과 회의감을 중심으로)

  • Junho Kim;Il Im;Taeyoung Kim
    • Information Systems Review
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    • v.23 no.3
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    • pp.25-50
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    • 2021
  • Though there have been a lot of studies about online product review, the effects of highlighted reviewhave not been examined enough. Highlighted review is a type of review that the platform designer changes its size or position in order to highlight without any sponsorship or incentive. The main subject of this study is about how highlighted review type affects consumer's perception and behavior in online information acquisition. We collected data from 171 subjects to test hypotheses. Using three different types of screen captures, we compared three groups - general review group, positive highlighted review only group, and both positive and negative highlighted review group. As a result, disclosing both of positiveand negative highlighted review was perceived more useful than disclosing only positive highlighted review. However, correlation between highlighted review type and review skepticism was not statistically significant. The impacts of review usefulness and skepticism on platform credibility were statistically significant, and the correlation between platform credibility and usage intention was also significant. All of results is almost similar across two product types, search goods and experiential goods. This research provides practical implications to online shopping platform designers when they design review systems to make people use their platforms.

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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A Study on the Influence of SNS Advertisement Attributes on Purchase Intention and Brand Attitude - Focusing on the Moderating Effects of Persuasion Knowledge - (SNS 광고속성이 구매의도 및 브랜드 태도에 미치는 영향 - 설득지식의 조절효과를 중심으로 -)

  • Na, Yun-Bin
    • The Journal of the Korea Contents Association
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    • v.19 no.8
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    • pp.58-68
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    • 2019
  • Recently SNS product reviews are excessively increasing. However, many SNS reviews are under feeble regulation than how big and powerful that their awarenesses are. This problem leads to consumers' discontentment on product reviews on online. This study aims to analyze how SNS product reviews characteristics: informativeness, entertainment, reliability and familiarity attribute on consumers' purchase intent and brand attitude. However, at this time, consumers' high discontents (stored-knowledge) expect to have negative affect on product reviews thus I put this as a regulation effect. This study is consisted of 240 examinee who check SNS product reviews before buying products.

Analysis of the Relationship between Service Quality, Satisfaction and Repurchase Intention of On-line Fashion Shopping Malls and the Moderating Effect of Online Reviews (중국 온라인 패션쇼핑몰의 서비스 품질, 만족, 재구매의도간의 관계 및 온라인 리뷰의 조절효과 분석)

  • Jiang, Bao-Zhi;Lee, Young-sook;Lee, Jieun
    • Journal of Internet of Things and Convergence
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    • v.8 no.5
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    • pp.47-54
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    • 2022
  • The development of the Internet of Things led to new services that did not exist before. This required a change to the existing network. This study aims to verify the service quality, satisfaction, repurchase intention relationship, and the moderating effect of online reviews of Chinese consumers using fashion shopping malls. The results of the study showed that from the perspective of consumers in their 20s and 30s in China, the type, reliability, convenience, and interaction of service quality had a positive effect on customer satisfaction and repurchase intention. In addition, negative reviews among online reviews had a great influence on repurchase intention. Based on the results of the study, it will help improve the effect on online product reviews and in-depth understanding of the acceptance of online product reviews for online fashion shopping malls, and establish strategies for fashion companies to effectively manage online product reviews information.

The Impacts of Volume and Valence of eWOM on Purchase Intention for Movies: Mediation of Review Credibility (온라인 구전의 양과 방향성이 영화 관람의도에 미치는 영향: 리뷰 신뢰성의 매개효과)

  • Han, Seungji;Kim, Joongin
    • The Journal of the Korea Contents Association
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    • v.21 no.7
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    • pp.93-104
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    • 2021
  • Most of the existing studies on the volume and valence of the eWOM (electronic word of mouth) about movies and box-office revenues were conducted using online actual data (secondary data) at Yahoo Movies, IMDB.com, Naver Movies, etc. However, it is difficult to grasp psychological variables from online actual data. Therefore, existing studies using online actual data could not identify the causal relationship among volume, valence and psychological variables. This study fills this gap in the literature. This study aims to examine the direct and indirect effects (i.e. mediating effect) of the volume and valence of online reviews about movies on purchase intention through review credibility as a mediator. We conducted a survey on the South Korean consumers and a structural equation modeling. The outcomes show that the total effects of both volume and valence are significant. In addition, volume has an indirect effect only (i.e. full mediating effect) on purchase intention through review credibility, but valence has both direct and indirect effects (i.e. partial mediating effect) on purchase intention through review credibility. The theoretical and practical implications for these results are presented.

Investigation of Factors Affecting the Effects of Online Consumer Reviews (온라인 소비자 리뷰의 효과에 영향을 미치는 요인에 대한 고찰)

  • Lee, Ho Geun;Kwak, Hyun
    • Informatization Policy
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    • v.20 no.3
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    • pp.3-17
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    • 2013
  • As electronic marketplaces grow and a large number of consumers exchange their opinions on products and services on the Internet, many studies have been conducted in the area of online consumer reviews. This paper analyzes the research trend of the online consumer reviews by investigating those studies in an attempt to provide future research directions. Many researchers have focused on the effects of online reviews on consumer behaviors as well as the usefulness of the online reviews. In particular, review contents, characteristics of reviewers/consumers and features of products/services have been identified as influencing factors on the effects of the online consumer reviews. For the review contents, the number and the volume of the contents have increasing effects on the online reviews, while the direction (positive vs. negative) of the contents has resulted in conflicting effects of the review. The reputation and trustfulness of reviewers, consumers' prior knowledge on the products, consumers' product involvement, and types of the products were investigated as these factors influence the effectiveness of the online consumer reviews. Social media (such as Facebook and Twitter) nowadays play an important role to disseminate online reviews among consumers. Thus, it is necessary to study how social media influence the effects of online reviews on consumers. Since some firms abuse the online reviews for their own sakes, we recognize the necessity for empirical studies on the side effects of the online reviews.

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Implementation of a Code Review Tool Using Git History (Git 히스토리를 이용한 코드리뷰 도구 구현)

  • Oh, Chang Uk;Jung, Hyeon Oh;Park, Hyun suk;Son, Myeong Hee;Park, Hyeok Ju;Kang, Dong Ok;Lee, Yong Kyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.33-36
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    • 2018
  • 코드리뷰는 소프트웨어의 신뢰성을 향상시키며, 개발 기간을 단축시킨다. 기존의 코드리뷰 도구들은 문법적인 오류는 검출하지만, 논리적인 오류를 찾아내지 못하는 한계가 있다. 본 논문에서는 Git 히스토리를 이용하여 코드 간의 연관성 그래프를 만들고, 이를 이용하여 논리적인 오류를 찾아내는 도구를 구현하였다. 코드상의 논리적 오류를 검출하여 프로그램 개발을 용이하게 하고, 내부에 잠재되어 있는 결함을 예방할 수 있다.

Sentiment Analysis and Star Rating Prediction Based on Big Data Analysis of Online Reviews of Foreign Tourists Visiting Korea (방한 관광객의 온라인 리뷰에 대한 빅데이터 분석 기반의 감성분석 및 평점 예측모형)

  • Hong, Taeho
    • Knowledge Management Research
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    • v.23 no.1
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    • pp.187-201
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    • 2022
  • Online reviews written by tourists provide important information for the management and operation of the tourism industry. The star rating of online reviews is a simple quantitative evaluation of a product or service, but it is difficult to reflect the sincere attitude of tourists. There is also an issue; the star rating and review content are not matched. In this study, a star rating prediction model based on online review content was proposed to solve the discrepancy problem. We compared the differences in star ratings and sentiment by continent through sentiment analysis on tourist attractions and hotels written by foreign tourists who visited Korea. Variables were selected through TF-IDF vectorization and sentiment analysis results. Logit, artificial neural network, and SVM(Support Vector Machine) were used for the classification model, and artificial neural network and SVR(Support Vector regression) were applied for the rating prediction model. The online review rating prediction model proposed in this study could solve inconsistency problems and also could be applied even if when there is no star rating.