Navigating online perils: Socioeconomic status, online activity lifestyles, and online fraud targeting and victimization of old adults in China

IF 9 1区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Computers in Human Behavior Pub Date : 2024-09-23 DOI:10.1016/j.chb.2024.108458
Donghui Wang , Yuwei Duan , Yongai Jin
{"title":"Navigating online perils: Socioeconomic status, online activity lifestyles, and online fraud targeting and victimization of old adults in China","authors":"Donghui Wang ,&nbsp;Yuwei Duan ,&nbsp;Yongai Jin","doi":"10.1016/j.chb.2024.108458","DOIUrl":null,"url":null,"abstract":"<div><div>Online fraud poses a growing threat to the well-being of old adults. This study examines the causes and correlates of online fraud targeting and victimization among old adults in China. Drawing insights from the digital inequality theory and lifestyle routine activity theory and utilizing a nationally representative survey of Chinese old adults (N = 4293), this study examines how socioeconomic status and online lifestyle patterns affect their susceptibility to online fraud. The results show that old adults of better socioeconomic status are more likely to be targeted by online frauds, though not necessarily experiencing financial loss. Latent class analysis identifies four online activity lifestyles among old adults: basic, entertainment, risky, and advanced users. Subsequent analysis demonstrates that these lifestyle types predict different risks of online fraud targeting and victimization. Basic users face a heightened risk of being targeted but not necessarily monetary loss. Risky users, while not exhibiting elevated targeting risks compared to basic users, are more susceptible to financial loss once targeted. Advanced users, in contrast to basic users, face elevated risks of being targeted and monetary loss. This study offers new insights into the risk factors for online fraud targeting and victimization among old adults in China, informing the development of effective online fraud prevention programs.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"162 ","pages":"Article 108458"},"PeriodicalIF":9.0000,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Human Behavior","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0747563224003261","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Online fraud poses a growing threat to the well-being of old adults. This study examines the causes and correlates of online fraud targeting and victimization among old adults in China. Drawing insights from the digital inequality theory and lifestyle routine activity theory and utilizing a nationally representative survey of Chinese old adults (N = 4293), this study examines how socioeconomic status and online lifestyle patterns affect their susceptibility to online fraud. The results show that old adults of better socioeconomic status are more likely to be targeted by online frauds, though not necessarily experiencing financial loss. Latent class analysis identifies four online activity lifestyles among old adults: basic, entertainment, risky, and advanced users. Subsequent analysis demonstrates that these lifestyle types predict different risks of online fraud targeting and victimization. Basic users face a heightened risk of being targeted but not necessarily monetary loss. Risky users, while not exhibiting elevated targeting risks compared to basic users, are more susceptible to financial loss once targeted. Advanced users, in contrast to basic users, face elevated risks of being targeted and monetary loss. This study offers new insights into the risk factors for online fraud targeting and victimization among old adults in China, informing the development of effective online fraud prevention programs.
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
驾驭网络风险:中国老年人的社会经济地位、网络活动生活方式、网络欺诈目标和受害情况
网络欺诈对老年人的福祉构成日益严重的威胁。本研究探讨了中国老年人成为网络欺诈目标和受害者的原因及相关因素。本研究借鉴数字不平等理论和生活方式常规活动理论,利用一项具有全国代表性的中国老年人调查(N = 4293),探讨了社会经济地位和网络生活方式如何影响老年人对网络欺诈的易感性。结果显示,社会经济地位较高的老年人更容易成为网络欺诈的目标,尽管不一定会遭受经济损失。潜类分析确定了老年人的四种网络活动生活方式:基本用户、娱乐用户、风险用户和高级用户。随后的分析表明,这些生活方式类型预示着不同的网络欺诈目标和受害风险。基本用户面临更高的成为目标的风险,但不一定会遭受金钱损失。与基本用户相比,风险用户虽然没有表现出更高的目标锁定风险,但一旦成为目标,则更容易遭受经济损失。与基本用户相比,高级用户面临更高的成为攻击目标和金钱损失的风险。本研究为了解中国老年人成为网络欺诈目标和受害的风险因素提供了新的视角,为制定有效的网络欺诈预防计划提供了参考。
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 去求助
来源期刊
CiteScore
19.10
自引率
4.00%
发文量
381
审稿时长
40 days
期刊介绍: Computers in Human Behavior is a scholarly journal that explores the psychological aspects of computer use. It covers original theoretical works, research reports, literature reviews, and software and book reviews. The journal examines both the use of computers in psychology, psychiatry, and related fields, and the psychological impact of computer use on individuals, groups, and society. Articles discuss topics such as professional practice, training, research, human development, learning, cognition, personality, and social interactions. It focuses on human interactions with computers, considering the computer as a medium through which human behaviors are shaped and expressed. Professionals interested in the psychological aspects of computer use will find this journal valuable, even with limited knowledge of computers.
期刊最新文献
What makes an app authentic? Determining antecedents of perceived authenticity in an AI-powered service app The effects of self-explanation on game-based learning: Evidence from eye-tracking analyses Avatars at risk: Exploring public response to sexual violence in immersive digital spaces Perception of non-binary social media users towards authentic non-binary social media influencers Editorial Board
×
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