Affiliation:
1. Department of Information Systems and Security Kennesaw State University Kennesaw Georgia USA
2. Computer Information Systems, J. Mack Robinson College of Business Georgia State University Atlanta Georgia USA
3. Accounting and Information Systems Virginia Tech Blacksburg Virginia USA
Abstract
AbstractIn 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.
Subject
Computer Networks and Communications,Information Systems,Software
Cited by
3 articles.
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