社交媒体流量体验与假新闻分享之间的关联建模：测试社交媒体流量体验的中介作用和社交媒体怀疑论的调节作用

IF 3.4 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Interaction Pub Date : 2024-07-01 DOI:10.1080/10447318.2024.2369426

Yi Wan, Oberiri Destiny Apuke

引用次数: 0

摘要

本研究利用技术接受模型（TAM）和流动理论，建立了一个预测社交媒体上假新闻分享行为的模型。我们从一个在线幸存者中收集了调查问卷。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Modelling the Association Between Social Media Flow Experience and Fake News Sharing: Testing the Mediating Role of Social Media Flow Experience and the Moderating Role of Social Media Scepticism

This study developed a model that predicts fake news sharing behaviour on social media using the technology acceptance model (TAM) and flow theory. We collected survey responses from an online surv...

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来源期刊

International Journal of Human-Computer Interaction 工程技术-计算机：控制论

CiteScore

9.00

自引率

21.30%

发文量

347

审稿时长

2 months

期刊介绍： The International Journal of Human-Computer Interaction addresses the cognitive, creative, social, health, and ergonomic aspects of interactive computing. It emphasizes the human element in relation to the systems and contexts in which humans perform, operate, network, and communicate, including mobile apps, social media, online communities, and digital accessibility. The journal publishes original articles including reviews and reappraisals of the literature, empirical studies, and quantitative and qualitative contributions to the theories and applications of HCI.