网上约会:有问题的Tinder使用的预测因素
Germano Vera Cruz1, Elias Aboujaoude2,3, Lucien Rochat4
1Department of Psychology, CRP-CPO, University of Picardie Jules Verne, Amiens, UR, 7273, France. germano.vera.cruz@u-picardie.fr.
BMC psychology
|February 29, 2024
概括
这项研究发现,使用Tinder用于情绪应对,社交联系和减少无聊,预示着有问题的使用. 像匹配和约会这样的因素也会导致约会应用程序的成潜力.
科学领域:
- 心理学 心理学 心理学
- 社会学 社会学 社会学
- 数字媒体研究 数字媒体研究
背景情况:
- 地理定位约会应用程序重塑了全球的社交互动和约会行为.
- 关于这些流行的约会应用程序的成潜力和滥用因素的研究有限.
研究的目的:
- 评估成年人中有问题的Tinder使用 (PTU) 的流行率.
- 通过对29个变量进行机器学习分析,确定PTU的关键预测因素.
主要方法:
- 一个机器学习算法分析了1387名Tinder用户 (年龄在18-74岁之间) 的数据.
- 参与者填写了一份在线问卷,详细说明了他们的应用程序使用情况和心理因素.
主要成果:
- 平均PTU得分为1.91 (SD=0.70),表明整体问题使用率低.
- PTU的主要预测因素包括使用Tinder进行增强,应对和社交联系.
- 匹配数量,在线联系人和离线约会是重要的预测因素;抑郁和孤独是中等的预测因素.
结论:
- 问题性的Tinder使用受到用户体验,个体特征和情境因素的相互作用的影响.
- 与PTU相关的低自尊和负面情绪等问题,不能通过当前的约会应用程序设计来直接解决.
- 需要数字服务来识别和解决与约会应用程序普及相关的潜在问题.
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