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

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.

Authors

Institutions

Publication Details

Journal
Journal of Cognitive Engineering and Decision Making
Published
2026-11-02
DOI
https://doi.org/10.1177/15553434261497467
Citations
1
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
7.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Aaron R. Allred, Leanne Hirshfield, Erin E. Richardson, Chad C. Tossell et al.
1 citations
Journal of Cognitive Engineering and Decision Making
Misinformation and Its Impacts
7.11
article

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

Aaron R. Allred, Leanne Hirshfield, Erin E. Richardson, Chad C. Tossell, Sarah R. Bostrom, Cara A. Spencer, Allison Paige Anderson, Richard Evan Niemeyer, James E. Crum II
article en
1 citations

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.

Journal of Cognitive Engineering and Decision Making
University of Colorado Boulder (US), United States Air Force Academy (US), Embry–Riddle Aeronautical University (US)
Air Force Office of Scientific Research
Openalex Percentile: Top 8%
Misinformation and Its Impacts
7.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon