Decision-Making Amid Information-Based Threats in Sociotechnical Systems: A Review

• URL: http://arxiv.org/abs/2511.11595v1
• Date: Tue, 28 Oct 2025 13:26:41 GMT
• Title: Decision-Making Amid Information-Based Threats in Sociotechnical Systems: A Review
• Authors: Aaron R. Allred, Erin E. Richardson, Sarah R. Bostrom, James Crum, Cara Spencer, Chad Tossell, Richard E. Niemeyer, Leanne Hirshfield, Allison P. A. Hayman,
• Abstract summary: Technological systems increasingly mediate human information exchange, spanning interactions among humans as well as between humans and artificial agents.<n>This review synthesizes insights from both domains to identify shared cognitive mechanisms that mediate vulnerability to information-based threats and shape behavioral outcomes.<n>We outline directions for future research aimed at integrating these perspectives, emphasizing the importance of such integration for mitigating human vulnerabilities and aligning human-machine representations.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Technological systems increasingly mediate human information exchange, spanning interactions among humans as well as between humans and artificial agents. The unprecedented scale and reliance on information disseminated through these systems substantially expand the scope of information-based influence that can both enable and undermine sound decision-making. Consequently, understanding and protecting decision-making today faces growing challenges, as individuals and organizations must navigate evolving opportunities and information-based threats across varied domains and information environments. While these risks are widely recognized, research remains fragmented: work evaluating information-based threat phenomena has progressed largely in isolation from foundational studies of human information processing. In this review, we synthesize insights from both domains to identify shared cognitive mechanisms that mediate vulnerability to information-based threats and shape behavioral outcomes. Finally, we outline directions for future research aimed at integrating these perspectives, emphasizing the importance of such integration for mitigating human vulnerabilities and aligning human-machine representations.

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