{"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 & 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}
引用次数: 0
Abstract
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.
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.
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