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用户在社交媒体上未经证实的信息分享行为:理性与社会反应路径的作用。

Users' unverified information-sharing behavior on social media: The role of reasoned and social reactive pathways.

作者信息

Zhang Zeqian, Cheng Zhichao

机构信息

School of Economics & Management, Beihang University, Beijing 100191, China.

School of Economics & Management, Beihang University, Beijing 100191, China.

出版信息

Acta Psychol (Amst). 2024 May;245:104215. doi: 10.1016/j.actpsy.2024.104215. Epub 2024 Mar 14.

Abstract

Unverified or false information spread by irresponsible users can amplify the dissemination of fake news or misinformation. This phenomenon may not only undermine the credibility of social media platforms but also pose severe consequences for individuals and society. This study applies and extends the prototypical willingness model with the aim of comprehending the reasons, and decision-making process driving users' unverified information-sharing behavior a reasoned and intended pathway or an impulsive and unconscious one. Data from a sample of 646 users were analyzed using Structural Equation Modeling to assess the determinative effect of both the reasoned pathway (attitude toward unverified information-sharing, subjective norm, and perceived behavioral control) and the social-reaction pathway (prototype favorability and similarity). Findings highlight the substantial role of the social-reaction pathway in forecasting users' unverified information-sharing behavior, with prototype similarity and attitude being the dominant predictors. Meanwhile, components of the reasoned pathway, specifically perceived behavior control, and attitude, also exhibited significant contributions toward predicting the behavior. In summary, while a deliberate, reasoned process has some influence, the sharing of unverified information on social media by users is primarily an intuitive, spontaneous response to specific online circumstances. This study therefore offers valuable insights that could aid relevant stakeholders in effectively regulating the spread of misinformation. Against this backdrop, highlighting potential risks associated with sharing unverified information and the negative portrayal of users propagating misinformation may contribute to the development of a more critical perspective toward online information sharing by users themselves.

摘要

不负责任的用户传播未经证实或虚假的信息会加剧假新闻或错误信息的传播。这种现象不仅可能损害社交媒体平台的可信度,还可能给个人和社会带来严重后果。本研究应用并扩展了典型意愿模型,旨在理解驱动用户分享未经证实信息行为的原因和决策过程,是理性且有意图的途径还是冲动且无意识的途径。使用结构方程模型对646名用户的样本数据进行分析,以评估理性途径(对分享未经证实信息的态度、主观规范和感知行为控制)和社会反应途径(原型好感度和相似度)的决定性作用。研究结果突出了社会反应途径在预测用户分享未经证实信息行为中的重要作用,其中原型相似度和态度是主要预测因素。同时,理性途径的组成部分,特别是感知行为控制和态度,在预测该行为方面也表现出显著贡献。总之,虽然深思熟虑的理性过程有一定影响,但用户在社交媒体上分享未经证实信息主要是对特定在线情境的直观、自发反应。因此,本研究提供了有价值的见解,有助于相关利益相关者有效规范错误信息的传播。在此背景下,强调分享未经证实信息的潜在风险以及对传播错误信息用户的负面描述,可能有助于用户自身对在线信息分享形成更批判性的视角。

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