• 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.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.596-598
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• 2018

본 논문은 온라인 교육매칭 플랫폼의 교육자에 대한 신뢰도 파악을 위한 리뷰분석 자동화 시스템을 설계한 논문이다. 웹 크롤링을 통해 비정형 데이터인 교육자에 대한 리뷰를 수집 및 파싱을 통해 데이터 베이스화 한다. 수집한 리뷰 데이터와 SO-PMI를 이용해 온라인 교육자 신뢰도 파악을 위한 맞춤형 감성사전을 구축하고자 한다. 구축한 감성사전을 이용해 리뷰를 수치화해 교육자와 피교육자 매칭 시신뢰성 향상에 도움을 주고자 한다.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.139-148
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• 2024

In the post-pandemic era, the demand for online education platforms has surged, leading to increased consumer reliance on online reviews for decision-making. This study investigates the impact of Chinese online customer reviews on consumer purchase behavior in online education. By examining the role of trust, review sentiment, and the quantity and timeliness of reviews, the research aims to understand how these factors influence consumer decisions. By using regression model, findings reveal that negative reviews, timely feedback, and a higher volume of reviews positively affect consumer purchase decisions, while course pricing demonstrates an inverse relationship. Furthermore, cognitive and affective trust mediate the relationship between reviews and purchase behavior, highlighting a reverse U-shaped effect on consumer decision inclination. These insights provide valuable implications for online education providers, emphasizing the need to manage and leverage online reviews to foster consumer trust and improve sales performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.515-518
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• 2020

영상 콘텐츠 생산 간편화와 방송 채널 운영의 편리화에 따른 '영상의 시대'가 도래함에 따라 여러 제품에 대한 리뷰 영상이 관심을 받고 있다. 본 연구에서는 리뷰 영상의 언어와 비언어적 감성 분석을 토대로 통합 신뢰도 분석 시스템을 제안한다. 이를 위해, 영상 속 음성의 언어 감성 분석과 리뷰어의 표정 분석을 통해 얻은 각 감성값을 추출하고 정량화한다. 이후 표준화된 언어, 비언어적 감성 값에 대한 통합 신뢰도 분석을 진행한다. 결과적으로, 리뷰 영상에 대한 신뢰도를 객관화된 지표로써 평가할 수 있다.

• Information Systems Review
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• v.20 no.2
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• pp.163-188
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• 2018

When people try to find restaurant information via search engine results, they look at posts not only from sites with solely restaurant reviews but also from sites with restaurant unrelated contents. This study aims to investigate whether relevance between post and blog type affects users' trust toward a review. This study also attempts to check if the above effects interact with age. We designed a restaurant review post for two different blogs: one featuring restaurant review and another that does not feature restaurant reviews. After our participants visited one restaurant review post, they answered our questionnaire. We conducted an online survey on 206 participants to test our research model. Results show that 1) the effect of relevance between post and blog type on message credibility, which is users' trust toward restaurant reviews, is not greater when posts are consistent with the theme of a blog. 2) Among users who are over 30 years old, relevance between post and blog type moderates the relationship between media skepticism, which is users' feeling of mistrust toward blog, and belief in expertise, that is, users' belief that the review post provides sufficient restaurant information. 3) Users' perceived value of the restaurant review post mediates the relationship between users' belief in the expertise in a post and users' intention to seek additional information.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.153-160
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• 2021

With the advent of the "age of video" due to the simplification of video content production and the convenience of broadcasting channel operation, review videos on various products are drawing attention. We proposes RASIA, an integrated reliability analysis system based on verbal and nonverbal sentiment analysis of review videos. RASIA extracts and quantifies each emotional value obtained through language sentiment analysis and facial analysis of the reviewer in the video. Subsequently, we conduct an integrated reliability analysis of standardized verbal and nonverbal sentimental values. RASIA provide an new objective indicator to evaluate the reliability of the review video.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.30-40
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• 2021

Ratings and reviews, despite their growing influence on restaurants' sales and reputation, entail a few limitations due to the burgeoning of reviews and inaccuracies in rating systems. This study explores the texts in reviews and ratings of a delivery application and discovers ways to elevate review credibility and usefulness. Through a text mining method, we concluded that the delivery application 'Yogiyo' has (1) a five-star oriented rating dispersion, (2) a strong positive correlation between rating factors (taste, quantity, and delivery) and (3) distinct part of speech and morpheme proportions depending on review polarity. We created a chicken-specialized negative word dictionary under four main topics and 20 sub-topic classifications after extracting a total of 367 negative words. We provide insights on how the research on delivery app reviews should progress, centered on fried chicken reviews.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.80-91
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• 2017

The purpose of paper is to confirm the role of E-WOM(Electronic Worth of Mouth) in decision making of selecting the mobile application via smart-phone or tablet pc. Particularly i wished to confirm the effects of others' positive or negative reviews in purchasing(free downloading) mobile applications. To resolve these research questions, the secondary data or previous research were collected and arranged theoretically. From literature research, i made out the proposed model to explain the relationships between the variables, executed the operational definitions and 14 Hypotheses were established, collected the survey data of 228 mobile application users. Using the empirical test analysis, previous performances to confirm the construct validity and internal consistency and PLS(Partial Least Square) modelling method was executed. The test result showed that proposed relations of variables was empirically identified, therefore, i got the conclusion as followings; First, attributes of mobile application users' reviews have the effects positively to usefulness perception and expected performance. Second, it was significantly tested Usefulness of Online Review and Expected Performance. Second, Usefulness of Online Review, Source Credibility and Expected Performance have effect positively to Intention of Review Adoption.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.77-79
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• 2019

블록체인을 이용하여 리뷰의 무결성을 검증하고 리뷰 제공자에게 보상을 지급한다. 기존의 리뷰 시스템에서는 돈을 받고 광고해주거나 악의적인 목적을 가진 악성 리뷰가 많이 존재한다. 리뷰 제공자에 대한 적절한 보상이 없어 리뷰 제공자가 직접 광고 유치 등을 통해 수익을 창출해왔다. 이 리뷰 시스템을 통해 리뷰 제공자는 정당한 노력의 보상을 받을 수 있고 사용자들도 신뢰할 수 있는 정보를 제공 받을 수 있다. 이러한 시스템을 통해 선순환적인 리뷰 생태계를 구축하고자 한다.

• Knowledge Management Research
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• v.23 no.3
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• pp.193-212
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• 2022

Many studies have proposed several factors that affect review helpfulness. Previous studies have investigated the effect of quantitative factors (e.g., star ratings) and affective factors (e.g., sentiment scores) on review helpfulness. Online reviews contain titles and contents, but existing studies focus on the review content. However, there is a limitation to investigating the factors that affect review helpfulness based on the review content without considering the review title. However, previous studies independently investigated the effect of review content and title on review helpfulness. However, it may ignore the potential impact of similarity between review titles and content on review helpfulness. This study used text consistency between review titles and content affect review helpfulness based on the mere exposure effect theory. We also considered the role of information clearness, review length, and source reliability. The results show that text consistency between the review title and the content negatively affects the review helpfulness. Furthermore, we found that information clearness and source reliability weaken the negative effects of text consistency on review helpfulness.