The relationship between preference for online social interaction and affective well-being via compulsive dating app use: The moderating role of algorithmic beliefs

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Junwen Hu, Jian R. Rui
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引用次数: 0

Abstract

This study examined whether preference for online social interaction (POSI) was related to poorer affective well-being via compulsive dating app use and whether algorithmic beliefs attenuated the negative association between compulsive use and affective well-being. An online survey among Chinese dating app users (N = 361) was conducted. The sample included participants aged 18–60, with the majority (89.47%) falling within the 18–35 age range (M = 29.19, SD = 6.02). Women comprised a slightly larger proportion (56.2%) of the sample than men (43.8%). Results of the survey revealed that POSI was positively associated with compulsive use, which was positively related to post-dating app joviality. Furthermore, the relationship between algorithmic beliefs and post-dating app sadness was only significant among individuals with a low level of algorithm beliefs. The findings extended prior research on social network sites to dating apps and demonstrated the potential positive relationship between technology use and transient emotional states. Furthermore, our results suggest that algorithmic beliefs, which essentially reflect human-technology relations, may affect interpersonal communication outcomes on dating apps.
强迫性约会应用对在线社交互动的偏好与情感幸福感之间的关系:算法信念的调节作用
本研究考察了强迫性约会应用的在线社交偏好(POSI)是否与较差的情感幸福感相关,以及算法信念是否减弱了强迫性使用与情感幸福感之间的负相关。对中国交友软件用户(N = 361)进行了一项在线调查。样本包括18-60岁的参与者,大多数(89.47%)年龄在18-35岁之间(M = 29.19, SD = 6.02)。女性占样本的比例(56.2%)略高于男性(43.8%)。调查结果显示,POSI与强迫性使用呈正相关,而强迫性使用与约会后使用app的愉悦感呈正相关。此外,算法信念与约会应用后悲伤之间的关系仅在算法信念水平较低的个体中显着。这一发现将之前对社交网站的研究扩展到了约会应用程序,并证明了技术使用与短暂情绪状态之间潜在的积极关系。此外,我们的研究结果表明,算法信念(本质上反映了人类与技术的关系)可能会影响约会应用程序上的人际交流结果。
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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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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