scholarly journals Explaining and Predicting Helpfulness & Funniness of Online Reviews on the Steam Platform

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Applied Research ◽  
Online Shopping ◽  
Product Information ◽  
Online Reviews ◽  
Online Review ◽  
Gradient Boosting ◽  
Related Data ◽  
Review Helpfulness ◽  
Display Content ◽  
The Impact

Online review is a crucial display content of many online shopping platforms and an essential source of product information for consumers. Low-quality reviews often cause inconvenience to the platform and review readers. This article aims to help Steam, one of the largest digital distribution platforms, predict the review helpfulness and funniness. Via Python, 480,000 game reviews related data for 20 games were captured for analysis. This article analyzed the impact of three categories of influencing factors on the usefulness and funniness of game reviews, which are characteristics of review, reviewer and game. Additionally, by using the Random Forest-based classifier, the usefulness of reviews could be accurately predicted, while for funniness, Gradient Boosting Decision Tree was the better choice. This article applied research on the usefulness of reviews to game products and proposed research on the funniness of reviews.

scholarly journals Explaining and Predicting Helpfulness and Funniness of Online Reviews on the Steam Platform

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Applied Research ◽  
Online Shopping ◽  
Product Information ◽  
Online Reviews ◽  
Online Review ◽  
Gradient Boosting ◽  
Related Data ◽  
Review Helpfulness ◽  
Display Content ◽  
The Impact

Online review is a crucial display content of many online shopping platforms and an essential source of product information for consumers. Low-quality reviews often cause inconvenience to the platform and review readers. This article aims to help Steam, one of the largest digital distribution platforms, predict the review helpfulness and funniness. Via Python, 480,000 game reviews related data for 20 games were captured for analysis. This article analyzed the impact of three categories of influencing factors on the usefulness and funniness of game reviews, which are characteristics of review, reviewer and game. Additionally, by using the Random Forest-based classifier, the usefulness of reviews could be accurately predicted, while for funniness, Gradient Boosting Decision Tree was the better choice. This article applied research on the usefulness of reviews to game products and proposed research on the funniness of reviews.

scholarly journals Explaining and Predicting Helpfulness and Funniness of Online Reviews on the Steam Platform

2021 ◽  
Vol 29 (6) ◽  
pp. 1-23
Author(s):  
Zhi Wang ◽  
Victor Chang ◽  
Gergely Horvath
Keyword(s):  
Applied Research ◽  
Online Shopping ◽  
Product Information ◽  
Online Reviews ◽  
Online Review ◽  
Gradient Boosting ◽  
Related Data ◽  
Review Helpfulness ◽  
Display Content ◽  
The Impact

Online review is a crucial display content of many online shopping platforms and an essential source of product information for consumers. Low-quality reviews often cause inconvenience to the platform and review readers. This article aims to help Steam, one of the largest digital distribution platforms, predict the review helpfulness and funniness. Via Python, 480,000 game reviews related data for 20 games were captured for analysis. This article analyzed the impact of three categories of influencing factors on the usefulness and funniness of game reviews, which are characteristics of review, reviewer and game. Additionally, by using the Random Forest-based classifier, the usefulness of reviews could be accurately predicted, while for funniness, Gradient Boosting Decision Tree was the better choice. This article applied research on the usefulness of reviews to game products and proposed research on the funniness of reviews.

Title redacted: the impact of negative online review censorship

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jennifer L. Stevens ◽  
Carol L. Esmark Jones ◽  
Mike Breazeale
Keyword(s):  
Product Information ◽  
Experimental Studies ◽  
Online Reviews ◽  
Online Review ◽  
Content Type ◽  
Brand Relationship ◽  
Exchange Product ◽  
Negative Impacts ◽  
The Impact ◽  
Harmful Effects

Purpose Consumers are increasingly using review sites to exchange product information, whereas companies attempt to maintain control of brand-related communications. One method marketers may take to retain control is to remove negative opinions about the brand. This paper aims to examine the impact on consumer’s brand perceptions when negative reviews are censored. Design/methodology/approach Two experimental studies were conducted to assess whether censorship of a negative online review, in the form of removal by the company, weakens brand relationship quality (BRQ) dimensions. Findings The results show that censoring negative online reviews has a damaging effect on BRQ. Additionally, the findings indicate that a brand may not be able to increase BRQ when a negative review has been posted, however strategic measures can be taken to diminish the potentially harmful impact. Originality/value As many brands still do not adequately understand how to handle negative online reviews, this research offers valuable implications in furthering the examination of negative electronic word-of-mouth and ways to diminish its harmful effects. Additionally, while substantial research focuses on the positive consequences of brand relationships, this research answers calls to examine the negative impacts to BRQ.

Focus Within or On Others: The Impact of Reviewers' Attentional Focus on Review Helpfulness

2021 ◽  
Author(s):  
Zhanfei Lei ◽  
Dezhi Yin ◽  
Han Zhang
Keyword(s):  
Boundary Condition ◽  
Theoretical Model ◽  
Positive Impact ◽  
Online Reviews ◽  
Attentional Focus ◽  
Controlled Experiments ◽  
Review Helpfulness ◽  
Context Specific ◽  
The Impact ◽  
Consistent Support

When reviewers write online reviews, they differ in the focus of their attention: some focus on their own experiences, whereas some direct their attention to others—prospective consumers who may read the reviews in the future. This paper explores how, why, and when reviewers’ attentional focus can influence the helpfulness evaluation of reviews beyond the impact of substantive review content. Drawing on the attentional focus and persuasion literatures, we develop a theoretical model proposing that reviewers’ attentional focus may influence consumers’ perception of review helpfulness through opposing processes, and that its overall effect is contingent on the review’s two-sidedness. Results of one archival analysis and five controlled experiments provide consistent support for our hypotheses. This work challenges the predominant view of the positive impact of other-focus (vs. self-focus), explores the interpersonal impact of a reviewer’s attentional focus on prospective consumers who are total strangers, and reveals an important, context-specific boundary condition.

scholarly journals May we buy your love? psychological effects of incentives on writing likelihood and valence of online product reviews

2020 ◽  
Vol 30 (4) ◽  
pp. 805-820
Author(s):  
Ina Garnefeld ◽  
Sabrina Helm ◽  
Ann-Kathrin Grötschel
Keyword(s):  
Experimental Studies ◽  
Online Reviews ◽  
Psychological Effects ◽  
Online Review ◽  
Product Reviews ◽  
Monetary Rewards ◽  
Online Product Reviews ◽  
The Impact

AbstractAcknowledging the impact on their sales, companies strive to increase the number of positive online reviews of their products. A recently popular practice for stimulating online reviews is offering monetary rewards to customers in return for writing an online review. However, it is unclear whether such practices succeed in fulfilling two main objectives, namely, increasing the number and the valence of online reviews. With one pilot and two experimental studies, this research shows that offering incentives indeed increases the likelihood of review writing. However, the effect on review valence is mixed, due to contradictory psychological effects: Incentive recipients intend to reciprocate by writing favorable reviews but also perceive a need to resist marketers’ influence, which negatively affects their review valence. Finally, recipients who are less satisfied with the product are particularly prone to psychological costs and decrease the positivity of their online reviews. Consequently, incentives should be applied carefully.

scholarly journals Exploring Determinants of Attraction and Helpfulness of Online Product Review: A Consumer Behaviour Perspective

2016 ◽  
Vol 2016 ◽  
pp. 1-19 ◽  
Author(s):  
Xu Chen ◽  
Jie Sheng ◽  
Xiaojun Wang ◽  
Jiangshan Deng
Keyword(s):  
Mixed Method ◽  
Consumer Behaviour ◽  
Online Reviews ◽  
Product Reviews ◽  
Implicit Information ◽  
Online Product Review ◽  
Review Helpfulness ◽  
Research Findings ◽  
The Impact ◽  
Method Approach

To assist filtering and sorting massive review messages, this paper attempts to examine the determinants of review attraction and helpfulness. Our analysis divides consumers’ reading process into “notice stage” and “comprehend stage” and considers the impact of “explicit information” and “implicit information” of review attraction and review helpfulness. 633 online product reviews were collected from Amazon China. A mixed-method approach is employed to test the conceptual model proposed for examining the influencing factors of review attraction and helpfulness. The empirical results show that reviews with negative extremity, more words, and higher reviewer rank easily gain more attraction and reviews with negative extremity, higher reviewer rank, mixed subjective property, and mixed sentiment seem to be more helpful. The research findings provide some important insights, which will help online businesses to encourage consumers to write good quality reviews and take more active actions to maximise the value of online reviews.

scholarly journals Quantifying the effects of online review content structures on hotel review helpfulness

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wenjie Fan ◽  
Yong Liu ◽  
Hongxiu Li ◽  
Virpi Kristiina Tuunainen ◽  
Yanqing Lin
Keyword(s):  
Attribution Theory ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Review Literature ◽  
Online Review ◽  
Emotional Intensity ◽  
Content Type ◽  
Sentence Level ◽  
Review Helpfulness ◽  
The Impact

PurposeDrawing on attribution theory, the current paper aims to examine the effects of review content structures on online review helpfulness, focusing on three pertinent variables: review sidedness, information factuality, and emotional intensity at the beginning of a review. Moreover, the moderating roles of reviewer reputation and review sentiment are investigated.Design/methodology/approachThe review sentiment of 144,982 online hotel reviews was computed at the sentence level by considering the presence of adverbs and negative terms. Then, the authors quantified the impact of variables that were pertinent to review content structures on online review helpfulness in terms of review sidedness, information factuality and emotional intensity at the beginning of a review. Zero-inflated negative binomial regression was employed to test the model.FindingsThe results reveal that review sidedness negatively affects online review helpfulness, and reviewer reputation moderates this effect. Information factuality positively affects online review helpfulness, and positive sentiment moderates this impact. A review that begins with a highly emotional statement is more likely to be perceived as less helpful.Originality/valueUsing attribution theory as a theoretical lens, this study contributes to the online customer review literature by investigating the impact of review content structures on online review helpfulness and by demonstrating the important moderating effects of reviewer reputation and review sentiment. The findings can help practitioners develop effective review appraisal mechanisms and guide consumers in producing helpful reviews.

scholarly journals The Impact of Covid-19 Pandemic: Challenges and Opportunities of Syariah Financial Technology

2020 ◽  
Vol 8 (1) ◽  
pp. 119-128
Author(s):  
Ramadhani Irma Tripalupi ◽  
Prameshwara Anggahegari
Keyword(s):  
Financial Services ◽  
Economic Activity ◽  
Online Shopping ◽  
Qualitative Approach ◽  
Related Data ◽  
Challenges And Opportunities ◽  
The Impact ◽  
Descriptive Method ◽  
Financial Technology

This paper aims to describe the challenges and opportunities of syariah financial technology (fintech) in Indonesia, due to the impact of covid-19 pandemic. Three things that become the focus of writing, include: syariah fintech; the impact of covid-19 pandemic on fintech; syariah fintech opportunities and challenges. This study uses a qualitative approach and descriptive method with documentation/text studies in the form of related data and literature studies. The conclusion of this research is: the growth of Syariah fintech assets at the end of 2019 increased by 2074.81% from the previous year. Although affected by the pandemic, the growth of fintech during this covid-19 pandemic remained relatively stable. Prominent opportunities and challenges for the Syariah fintech resulting from the impact of covid-19 pandemic, including increased use of fintech through online shopping platforms, payments and loans; accelerated digitalization of financial services; slowed economic activity; arose various risks; and decreased debtor/UMKM performance due to the impact of the pandemic.

The impact of online reviews on destination trust and travel intention: The moderating role of online review trustworthiness

2021 ◽  
pp. 135676672110632
Author(s):  
Lujun Su ◽  
Qingyue Yang ◽  
Scott R Swanson ◽  
Ning Chris Chen
Keyword(s):  
Experimental Design ◽  
Online Reviews ◽  
Online Review ◽  
Emotional Intensity ◽  
Intensity Changes ◽  
The Impact ◽  
Moderating Role

This study explores the impact of the valence (positive/negative) and emotional intensity (strong/weak) of online reviews on potential Chinese visitors’ travel intentions and trust of a destination. An experimental design was used to test the hypotheses. Findings suggest that online review valence and emotional intensity affect travel intentions and that destination trust can partially mediate this relationship. Changes in destination trust and travel intention due to positive/negative review emotional intensity changes are not equivalent. Furthermore, online review trustworthiness moderates the valence and destination trust and travel intention relationships, but not the effect of review emotional intensity on the same outcomes.

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