Misinformation in Crises: A Conceptual Framework for Examining Human-Machine Interactions

T. Tran, P. Rad, Rohit Valecha, H. Rao
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Abstract

Misinformation can cause severe consequences to individuals and organizations. During humanitarian crises, communities are vulnerable to misinformation. Considering the interaction of human and machine factors, we propose a conceptual framework based on two activity systems: generation and mitigation of misinformation. Such framework helps enrich the understanding of misinformation diffusion processes with certain roles of involved stakeholders as well as sheds light on potential future research directions that can benefit communities of victims for the wellbeing of the society.
危机中的错误信息:检验人机交互的概念框架
错误的信息会给个人和组织带来严重的后果。在人道主义危机期间,社区容易受到错误信息的影响。考虑到人和机器因素的相互作用,我们提出了一个基于两个活动系统的概念框架:错误信息的产生和缓解。该框架有助于丰富对错误信息传播过程的理解,并使相关利益攸关方发挥一定作用,并揭示了潜在的未来研究方向,这些方向可以使受害者社区受益,促进社会福祉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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