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

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":"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","authors":"Lijuan Luo ,&nbsp;Ling Liu ,&nbsp;Yujie Zheng ,&nbsp;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":"{\"title\":\"Visual information and appearance: The impact of visual attributes of user-generated photos on review helpfulness\",\"authors\":\"Lijuan Luo ,&nbsp;Ling Liu ,&nbsp;Yujie Zheng ,&nbsp;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}","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

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Visual information and appearance: The impact of visual attributes of user-generated photos on review helpfulness

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Telematics and Informatics
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.
期刊最新文献
Unveiling the dynamics of binge-scrolling: A comprehensive analysis of short-form video consumption using a Stimulus-Organism-Response model Motivations behind problematic short video use: A three-level meta-analysis Crypto-Cognitive Exploitation: Integrating Cognitive, Social, and Technological perspectives on cryptocurrency fraud Are you what you emoji? How skin tone emojis and profile pictures shape attention and social inference processing Engaging with underserved communities during times of crises: A computational analysis of social media interactions with government information about COVID-19 economic relief programs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1