感知信息超载的前因与后果的综合模型,以微信为例

Xin Zhang, Liang Ma, Ge Zhang, Gaoshan Wang
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引用次数: 11

摘要

近年来,越来越多的社交媒体用户抱怨信息超载。在本文中,我们从中国多用途社交网站微信的用户调查中获得数据,以开发信息过载的集成模型。该模型用于确定微信用户感知信息过载的前因和后果。通过对244名微信用户的实地调查,对研究模型和假设进行检验。结果表明:1)接收的信息量和内容长度增加了用户对信息过载的感知,而微信订阅数并不是一个显著因素;2)用户对信息过载的感知与负面情绪相关,并增加了停止使用的意愿;3)负面情绪的类型和严重程度以及由此导致的停止使用的可能性会因用户的不同体验水平而有所不同。我们的结果对研究人员,网站管理人员和心理社会实践者的影响进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An integrated model of the antecedents and consequences of perceived information overload using WeChat as an example
In recent years, more and more social media users have complained of information overload. In this paper, we obtained data from surveys of users of the multi-purpose Chinese social website, WeChat, to develop an integrated model of information overload. The model was used to determine the antecedents and consequences of WeChat users' perceived information overload. A field survey of 244 WeChat users was conducted to test the research model and hypotheses. The results showed the following key findings: 1) the amount of information received and the length of content increased users' perceptions of information overload, while the number of WeChat subscriptions followed was not a significant factor; 2) users' perceptions of information overload were associated with negative emotions and increased intention to discontinue usage; 3) the type and severity of negative emotions and consequent likelihood of discontinuing usage will vary according to the users' different levels of experience. The implications of our results for researchers, website managers and psychosocial practitioners are discussed.
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