Visual information and appearance: The impact of visual attributes of user-generated photos on review helpfulness

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics Pub Date : 2024-07-07 DOI:10.1016/j.tele.2024.102164

Lijuan Luo , Ling Liu , Yujie Zheng , Jing Chen

{"title":"Visual information and appearance: The impact of visual attributes of user-generated photos on review helpfulness","authors":"Lijuan Luo , Ling Liu , Yujie Zheng , Jing Chen","doi":"10.1016/j.tele.2024.102164","DOIUrl":null,"url":null,"abstract":"<div><p>Images have become integral to consumers’ sharing of consumption experiences due to their abilities of carrying rich and vivid information. Drawing from the perspective of information theory and the elaboration likelihood model (ELM), this study investigates impacts of visual information and visual appearance of user-generated photos (UGPs) on customers’ perceived review helpfulness. We utilize deep learning techniques to calculate the breadth and depth of photos (visual information), and evaluate the aesthetic value of the photos (visual appearance). By collecting a substantial amount of review, reviewer and restaurant information from the Yelp platform, our results demonstrate that the visual breadth and visual depth of review photos have a significant positive impact on review helpfulness. Notably, reviewer status and review length moderate these effects. These insights offer valuable strategies for both restaurant managers and online restaurant platforms regarding UGP management.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"92 ","pages":"Article 102164"},"PeriodicalIF":7.6000,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telematics and Informatics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736585324000686","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}

引用次数: 0

Abstract

Images have become integral to consumers’ sharing of consumption experiences due to their abilities of carrying rich and vivid information. Drawing from the perspective of information theory and the elaboration likelihood model (ELM), this study investigates impacts of visual information and visual appearance of user-generated photos (UGPs) on customers’ perceived review helpfulness. We utilize deep learning techniques to calculate the breadth and depth of photos (visual information), and evaluate the aesthetic value of the photos (visual appearance). By collecting a substantial amount of review, reviewer and restaurant information from the Yelp platform, our results demonstrate that the visual breadth and visual depth of review photos have a significant positive impact on review helpfulness. Notably, reviewer status and review length moderate these effects. These insights offer valuable strategies for both restaurant managers and online restaurant platforms regarding UGP management.

查看原文本刊更多论文

视觉信息和外观：用户生成的照片的视觉属性对评论有用性的影响

图片能够承载丰富生动的信息，已成为消费者分享消费体验不可或缺的一部分。本研究从信息论和阐述可能性模型（ELM）的角度出发，探讨用户生成的照片（UGPs）的视觉信息和视觉外观对消费者感知评论有用性的影响。我们利用深度学习技术计算照片的广度和深度（视觉信息），并评估照片的美学价值（视觉外观）。通过从 Yelp 平台收集大量评论、评论者和餐厅信息，我们的结果表明，评论照片的视觉广度和视觉深度对评论有用性有显著的积极影响。值得注意的是，评论者身份和评论长度会缓和这些影响。这些见解为餐厅经理和在线餐厅平台的 UGP 管理提供了有价值的策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

17.00

自引率

4.70%

发文量

104

审稿时长

24 days

期刊介绍： Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.