How to Make Effective Product Review Videos

2020 ◽  
Vol 18 (4) ◽  
pp. 73-92
Author(s):  
Tathagata Ghosh

Extant research on online user-generated content, especially product reviews, has consistently examined the effects of textual reviews on consumers and has ignored an emerging and popular review format such as product review video (PRV) on YouTube. Specifically, no research exists that suggests how to develop an effective PRV. The present article addresses this gap by examining the effects of three important attributes of PRVs – review depth, review frame, and review disposition, on consumers' attitude toward the PRV and their propensity to share it. Technical quality of the video is included as a moderator. A between-subjects experiment was conducted with a sample of Internet users. The findings suggest that PRVs are most effective when the review depth is moderate, the review is comparative in nature, and it highlights product benefits instead of attributes. Technical quality positively moderates these afore-mentioned relationships.

Author(s):  
F. Femila ◽  
S. Janakipriya ◽  
R. B. Nivetha Sruthi ◽  
S. Rohini

The percentage of purchasing products by the user has been increased drastically through web. Users even have the facility of sharing their thoughts about the particular product on web in the form of reviews, blogs, comments etc. Many users read review information given on web to take decisions for buying products. Some users may give the reviews for hyping the sale of the product or to decrease the sale. This may confuse the customers who rely on the reviews to buy a product. So, there is a need to find the honest reviews and remove fake reviews that are added by malicious or fraud user. The proposed system comes up with the solution for this problem. Leading events has been used to find the time interval between the reviews. The proposed system mines the active periods such as leading sessions to accurately locate the hierarchical fraud. These leading sessions can be useful for detecting the local anomaly instead of global anomaly of product reviews. After this to analyze the rating, reviews and hierarchy of the product we examine three facts, they are rating based facts, review based facts and hierarchy facts. In addition, we propose an optimization-based aggregation method to integrate all the facts for fraud detection. The evaluations of this optimization are done on synthetic dataset that are collected. The classified and summarized product review information helps web users to understand review contents easily in a short time.


2014 ◽  
Vol 631-632 ◽  
pp. 1190-1193
Author(s):  
Sheng Xiu Yang ◽  
Lu Jie Fan

Online shopping reviews provide valuable information for customers to compare the quality of products, and many other aspects of future purchases. People increasingly rely on information from E-commerce reviews. Product reviews is an important determinant of potential customers’ buying choices. However, spammers are joining this community to try to mislead consumers by writing fake or unfair reviews to confuse the consumers. Fake product review detection makes an attempt to detect fake reviews and remove them to restore the truthful ones for readers. To the best of our knowledge, there is still less published study on this problem. In this paper, we make a survey and an attempt to give a brief overview on review spam. The related work of fake product review detection is presented including web spam and spam email. Then some methods to detect review spam are introduced and summarized. The trend of review spam detection is concluded finally.


2016 ◽  
Vol 22 (5) ◽  
pp. 309-317 ◽  
Author(s):  
Kamal Gholipour ◽  
Jafar Tabrizi ◽  
Mohammad asghari-Jafarabadi ◽  
Shabnam Iezadi ◽  
Nasrin Farshbaf ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Alf Inge Wang ◽  
Aleksander Aanesl. Elvemo ◽  
Vegard Gamnes

The paper presents results of a quasiexperiment where the three social classroom applications Post-It, WordCloud, and Categorizer were used in software architecture lectures. Post-It and WordCloud are applications that allow students to brainstorm or give comments related to a given topic. Categorizer is a puzzle game where the students are asked to place a number of terms in one of two correct categories. The three applications are multimodal HTML5 applications that enable students to interact in a classroom using their own digital devices, and the teacher’s laptop is used to display progress and results on the large screen. The focus of this study was to evaluate how the difference of these applications and how their integration into the lecture affected the students’ motivation, engagement, thinking, activity level, social interaction, creativity, enjoyment, attention, and learning. In addition, the study evaluated the usability and the technical quality of the applications. The results of the experiment show that the way such applications are integrated into a lecture highly affects the students’ attitude. The experiment also showed that the game-based application was on average better received among the students and that the students’ attitude was highly sensitive to the difficulty level of the game.


2008 ◽  
Vol 19 (1) ◽  
pp. 34-39 ◽  
Author(s):  
Carlos Estrela ◽  
Cláudio Rodrigues Leles ◽  
Augusto César Braz Hollanda ◽  
Marcelo Sampaio Moura ◽  
Jesus Djalma Pécora

The aim of this study was to assess the prevalence and risk factors of apical periodontitis in endodontically treated teeth in a selected population of Brazilian adults. A total of 1,372 periapical radiographs of endodontically treated teeth were analyzed based on the quality of root filling, status of coronal restoration and presence of posts associated with apical periodontitis (AP). Data were analyzed statistically using odds ratio, confidence intervals and chi-square test. The prevalence of AP with adequate endodontic treatment was low (16.5%). This percentage dropped to 12.1% in cases with adequate root filling and adequate coronal restoration. Teeth with adequate endodontic treatment and poor coronal restoration had an AP prevalence of 27.9%. AP increased to 71.7% in teeth with poor endodontic treatment associated with poor coronal restoration. When poor endodontic treatment was combined with adequate coronal restoration, AP prevalence was 61.8%. The prevalence of AP was low when associated with high technical quality of root canal treatment. Poor coronal restoration increased the risk of AP even when endodontic treatment was adequate (OR=2.80; 95%CI=1.87-4.22). The presence of intracanal posts had no influence on AP prevalence.


2014 ◽  
Vol 39 (4) ◽  
Author(s):  
Stephan Winter ◽  
Nicole C. Krämer

AbstractInternet users have access to a multitude of science-related information – on journalistic news sites but also on blogs with user-generated content. In this context, we investigated in two studies the factors which influence laypersons’ selective exposure (


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