在线约会中的算法意识：与美国在线约会者的伴侣搜索难度和未来预期的关系

IF 2.9 4区管理学 Q2 COMPUTER SCIENCE, CYBERNETICS

Behaviour & Information Technology Pub Date : 2024-01-02 DOI:10.1080/0144929x.2023.2299297

Junwen M. Hu, Emily (Shuo) Zhan

引用次数: 0

摘要

关于在线约会者利用算法系统寻找匹配对象的潜力，先前的研究得出了相互矛盾的结论。本研究借鉴了结构化算法的媒体功能，并对其进行了改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Algorithm awareness in online dating: associations with mate-searching difficulty and future expectancies among U.S. online daters

Prior research has produced contradictory findings regarding online daters’ potential to navigate the algorithmic systems to find compatible matches. Drawing upon a structuration algorithm media ef...

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来源期刊

Behaviour & Information Technology 工程技术-计算机：控制论

CiteScore

7.70

自引率

8.10%

发文量

159

审稿时长

5 months

期刊介绍： Behaviour & Information Technology (BIT) puts people before technology. As such it deviates from other related journals. It is the primary scientific venue for peer-reviewed publications on human-centred IT. BIT reports original research studies, practical case studies, and thoughtful articles on: • usability and user experience (UX) • human computer interaction (HCI) • human-centred and user-centred design • the social, business and human aspects of the digital world. The Journal attracts authors and readers from a variety of disciplines (e.g., usability, user experience, psychology, ergonomics, computer science, and sociology), originating from both academics and industry. All papers are subject to initial appraisal by the Editor, and, if found suitable for further consideration, will undertake rigorous double blind peer review by independent, anonymous expert referees.