首页> 外文期刊>European journal of information systems >Learning and self-disclosure behavior on social networking sites: the case of Facebook users
【24h】

Learning and self-disclosure behavior on social networking sites: the case of Facebook users

机译:社交网站上的学习和自我披露行为:以Facebook用户为例

获取原文
获取原文并翻译 | 示例
       

摘要

This paper studies Facebook users' learning-based attitude formation and the relationship between member attitude and self-disclosure. Through the theoretical lens of learning theories, we recognize the key antecedents to member attitude toward a social networking as stemming from classical conditioning, operant conditioning, and social learning-related factors. In addition, we explore the underlying process through which member attitude affects self-disclosure extent and theorize the mediating role of site usage rate on the relationship between attitude and self-disclosure extent. Analysis of 822 survey data results provides strong support for the role of learning theories in explaining Facebook members' attitude development. The results also confirm a significant, partial mediating effect of site usage rate. A series of post-hoc analyses on gender difference further reveal that attitude formation mechanisms remain constant between male and female Facebook users; gender difference exists on the association between attitude and self-disclosure extent and the association between site usage rate and self-disclosure extent; and the mediating effect of site usage rate exists in male user group only. Our research, therefore, contributes to the literature on social networking sites, as well as providing behavioral analysis useful to the service providers of these sites.
机译:本文研究了Facebook用户基于学习的态度形成以及成员态度与自我披露之间的关系。通过学习理论的理论视角,我们认识到成员对社交网络态度的关键前提是经典条件,操作条件和社会学习相关因素。此外,我们探讨了成员态度影响自我披露程度的潜在过程,并就态度和自我披露程度之间的关系,论证了网站使用率的中介作用。对822个调查数据结果的分析为学习理论在解释Facebook成员态度发展中的作用提供了有力的支持。结果还证实了站点使用率的显着,部分中介作用。一系列关于性别差异的事后分析进一步表明,男女Facebook用户之间的态度形成机制保持不变。态度与自我披露程度之间的关联以及网站使用率与自我披露程度之间的联系存在性别差异;网站使用率的中介作用仅存在于男性用户群中。因此,我们的研究为社交网站上的文献做出了贡献,并提供了对这些网站的服务提供商有用的行为分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号