美国在线约会者算法信仰的情感和关系相关性:前两项研究的延伸

IF 9 1区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Computers in Human Behavior Pub Date : 2024-07-10 DOI:10.1016/j.chb.2024.108373
Junwen M. Hu
{"title":"美国在线约会者算法信仰的情感和关系相关性:前两项研究的延伸","authors":"Junwen M. Hu","doi":"10.1016/j.chb.2024.108373","DOIUrl":null,"url":null,"abstract":"<div><p>Previous studies have forwarded a self-fulfilling prophecy explanation for how algorithmic beliefs may shape affective and relational outcomes of online dating (Hu &amp; Rui, 2023; Sharabi, 2021). The current work examined this self-fulfilling prophecy explanation by investigating relevant online dating correlates of algorithmic beliefs. Secondary analyses were conducted on data from a nationally representative sample of U.S. adults (<em>N</em> = 6034) with model comparison procedures. Collectively, results showed that, among currently single relationship-seeking online daters, algorithmic beliefs were negatively related to online dating disappointment; However, findings for online dating excitement were mixed. Additionally, among past online daters, algorithmic beliefs were positively related to being in a relationship with someone they met in online dating. Consistencies and differences between the current findings and previous findings were discussed to offer theoretical and practical implications.</p></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"160 ","pages":"Article 108373"},"PeriodicalIF":9.0000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The affective and relational correlates of algorithmic beliefs among U.S. online daters: Extension of two previous studies\",\"authors\":\"Junwen M. Hu\",\"doi\":\"10.1016/j.chb.2024.108373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Previous studies have forwarded a self-fulfilling prophecy explanation for how algorithmic beliefs may shape affective and relational outcomes of online dating (Hu &amp; Rui, 2023; Sharabi, 2021). The current work examined this self-fulfilling prophecy explanation by investigating relevant online dating correlates of algorithmic beliefs. Secondary analyses were conducted on data from a nationally representative sample of U.S. adults (<em>N</em> = 6034) with model comparison procedures. Collectively, results showed that, among currently single relationship-seeking online daters, algorithmic beliefs were negatively related to online dating disappointment; However, findings for online dating excitement were mixed. Additionally, among past online daters, algorithmic beliefs were positively related to being in a relationship with someone they met in online dating. Consistencies and differences between the current findings and previous findings were discussed to offer theoretical and practical implications.</p></div>\",\"PeriodicalId\":48471,\"journal\":{\"name\":\"Computers in Human Behavior\",\"volume\":\"160 \",\"pages\":\"Article 108373\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2024-07-10\",\"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/S0747563224002413\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Human Behavior","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0747563224002413","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

摘要

以往的研究对算法信念如何影响在线约会的情感和关系结果提出了自我实现预言的解释(Hu & Rui, 2023; Sharabi, 2021)。目前的研究通过调查算法信念的相关在线约会关联,对这一自我实现预言的解释进行了研究。通过模型比较程序,对具有全国代表性的美国成年人样本数据(N = 6034)进行了二次分析。总体结果显示,在目前单身的寻求恋爱关系的在线约会者中,算法信念与在线约会失望负相关;然而,对于在线约会兴奋的研究结果则好坏参半。此外,在过去的网恋者中,算法信念与他们在网恋中认识的人的关系呈正相关。讨论了当前研究结果与以往研究结果之间的一致性和差异,以提供理论和实践意义。
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
The affective and relational correlates of algorithmic beliefs among U.S. online daters: Extension of two previous studies

Previous studies have forwarded a self-fulfilling prophecy explanation for how algorithmic beliefs may shape affective and relational outcomes of online dating (Hu & Rui, 2023; Sharabi, 2021). The current work examined this self-fulfilling prophecy explanation by investigating relevant online dating correlates of algorithmic beliefs. Secondary analyses were conducted on data from a nationally representative sample of U.S. adults (N = 6034) with model comparison procedures. Collectively, results showed that, among currently single relationship-seeking online daters, algorithmic beliefs were negatively related to online dating disappointment; However, findings for online dating excitement were mixed. Additionally, among past online daters, algorithmic beliefs were positively related to being in a relationship with someone they met in online dating. Consistencies and differences between the current findings and previous findings were discussed to offer theoretical and practical implications.

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
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