A typology of disinformation intentionality and impact

IF 6.5 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Aaron French, Veda C. Storey, Linda Wallace
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引用次数: 0

Abstract

In contemporary society, the increased reliance on social media as a vital news source has facilitated the spread of disinformation that has potential polarising effects. Disinformation, false information deliberately crafted to deceive recipients, has escalated to the extent that it is now acknowledged as a significant cybersecurity concern. To proactively tackle this issue, and minimise the risk of negative outcomes associated with disinformation, this research presents a typology of disinformation intentionality and impact (DII) to understand the intentionality and impact of disinformation threats. The typology draws upon information manipulation theory and risk management principles to evaluate the potential impact of disinformation campaigns with respect to their virality and polarising impact. The intentionality of disinformation spread is related to its believability among susceptible consumers, who are likely to propagate the disinformation to others if they assess it to be believable. Based on the dimensions of intentionality and impact, the DII typology can be used to categorise disinformation threats and identify strategies to mitigate its risk. To illustrate its utility for evaluating the risk posted by disinformation campaigns, the DII typology is applied to a case study. We propose risk mitigation strategies as well as recommendations for addressing disinformation campaigns spread through social media platforms.

虚假信息的意图和影响类型学
在当代社会,人们越来越依赖作为重要新闻来源的社交媒体,这为具有潜在两极化影响的虚假信息的传播提供了便利。虚假信息是为了欺骗接收者而蓄意炮制的虚假信息,它的传播已经升级到了被公认为重大网络安全问题的程度。为了积极应对这一问题,并最大限度地降低与虚假信息相关的负面结果的风险,本研究提出了虚假信息意向性和影响(DII)类型学,以了解虚假信息威胁的意向性和影响。该类型学借鉴了信息操纵理论和风险管理原则,以评估虚假信息活动在病毒性和极化影响方面的潜在影响。虚假信息传播的意向性与易受影响的消费者对虚假信息的可信度有关,如果易受影响的消费者认为虚假信息可信,他们就有可能向其他人传播虚假信息。基于故意性和影响这两个维度,DII 类型学可用于对虚假信息威胁进行分类,并确定降低其风险的策略。为了说明 DII 类型学在评估虚假信息活动所带来的风险方面的实用性,我们将其应用于一项案例研究。我们提出了风险缓解策略以及应对通过社交媒体平台传播虚假信息的建议。
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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来源期刊
Information Systems Journal
Information Systems Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
14.60
自引率
7.80%
发文量
44
期刊介绍: The Information Systems Journal (ISJ) is an international journal promoting the study of, and interest in, information systems. Articles are welcome on research, practice, experience, current issues and debates. The ISJ encourages submissions that reflect the wide and interdisciplinary nature of the subject and articles that integrate technological disciplines with social, contextual and management issues, based on research using appropriate research methods.The ISJ has particularly built its reputation by publishing qualitative research and it continues to welcome such papers. Quantitative research papers are also welcome but they need to emphasise the context of the research and the theoretical and practical implications of their findings.The ISJ does not publish purely technical papers.
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