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Demystifying online personas of Vietnamese young adults on Facebook: A Q-methodology approach

机译:揭秘越南年轻人在Facebook上的在线角色的神秘感:一种Q方法

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As online social networking sites (SNS) are becoming a part of many people’s daily life, they have become a topic of interest that attracts the attention of both academics and practitioners. The users’ behaviours on those sites are complex and have important implications. Individuals can use a wide range of SNS’s functionalities, for example, to socialise and promote their online identities or find friends of common interests. Reckless online behaviours on SNS have been shown to result in breaches of privacy and other risks such as cyber-bullying, cyber-stalking, and job loss. As a result, there are many concerns over these problems that prevent SNS from reaching their full potential. Given the vast number of user’s concerns, identified by prior studies, there is a need to explore a typology of users that classifies online personas. This typology would reveal more about the users’ needs and help improve their experience on SNS. To achieve that goal, we collected data from fourteen Vietnamese young adults of different backgrounds who use Facebook, which was then analysed with Q factor analysis. The findings suggested three distinctive online personas that include the Outgoing Connector, the Reserved Trustor, and the Threats Perceiver. Implications for marketing tactics and design of better users’ experiences on social networking sites were discussed, and the proposed typology could serve as a starting point for future research to further explore the different types of social media’s users.
机译:随着在线社交网站(SNS)成为许多人日常生活的一部分,它们已成为引起学者和从业者关注的有趣话题。用户在这些站点上的行为非常复杂,并且具有重要意义。个人可以使用广泛的SNS功能,例如进行社交和推广其在线身份,或者找到有共同兴趣的朋友。事实证明,SNS上的鲁ck在线行为会导致侵犯隐私权和其他风险,例如网络欺凌,网络跟踪和失业。结果,对于这些问题有很多担忧,这些问题阻止了SNS发挥其全部潜力。先前的研究表明,考虑到大量用户关注的问题,有必要探索对在线角色进行分类的用户类型。这种类型将揭示更多有关用户需求的信息,并有助于改善他们在SNS上的体验。为了实现该目标,我们收集了来自14个使用Facebook的不同背景的越南年轻人的数据,然后使用Q因子分析对其进行了分析。调查结果提出了三种独特的在线角色,包括传出连接器,保留信任者和威胁感知者。讨论了营销策略的含义以及在社交网站上设计更好的用户体验的方法,所提出的类型可以作为将来进一步研究各种类型的社交媒体用户的研究的起点。

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