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First Comes Love, Then Comes Google: An Investigation of Uncertainty Reduction Strategies and Self-Disclosure in Online Dating

机译:先来恋爱,然后来谷歌:在线约会中减少不确定性策略和自我披露的调查

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摘要

This study investigates relationships between privacy concerns, uncertainty reduction behaviors, and self-disclosure among online dating participants, drawing on uncertainty reduction theory and the warranting principle.The authors propose a conceptual model integrating privacy concerns, self-efficacy, and Internet experience with uncertainty reduction strategies and amount of self-disclosure and then test this model on a nationwide sample of online dating participants (N = 562).The study findings confirm that the frequency of use of uncertainty reduction strategies is predicted by three sets of online dating concerns-personal security, misrepresentation, and recognition-as well as self-efficacy in online dating. Furthermore, the frequency of uncertainty reduction strategies mediates the relationship between these variables and amount of self-disclosure with potential online dating partners.The authors explore the theoretical implications of these findings for our understanding of uncertainty reduction, warranting, and self-disclosure processes in online contexts.
机译:本研究利用不确定性减少理论和保证原则,研究了在线约会参与者之间的隐私问题,不确定性减少行为和自我披露之间的关系。作者提出了一个概念模型,将隐私问题,自我效能感和互联网体验与不确定性结合在一起减少策略和自我披露的数量,然后在全国范围内的在线约会参与者样本中测试该模型(N = 562)。研究结果证实,不确定性减少策略的使用频率是由三组在线约会问题所预测的:在线约会中的人身安全,虚假陈述和认可以及自我效能感。此外,不确定性减少策略的频率介导了这些变量与与潜在在线约会伙伴的自我披露数量之间的关系。作者探索了这些发现的理论意义,以帮助我们理解不确定性减少,保证和自我披露过程。在线上下文。

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