Conference & Journal Paper
Who Is At Risk? Examining the Prevalence of Digital-Safety Attacks and Contextual Risk Factors in the United States
Sharon Heung, Claire Florence Weizenegger, Mo Houtti, Sunny Consolvo, Patrick Gage Kelley, Tara Matthews, Renee Shelby, Kurt Thomas, Ashley Marie Walker
Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI '26), Barcelona, Spain, 1214:1–1214:30, 2026
April 2026
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Abstract
A growing body of qualitative research has identified contextual risk factors that elevate people's chances of experiencing digital-safety attacks. However, the lack of quantitative data on the population-level distribution of these risk factors prevents policymakers and tech companies from developing targeted, evidence-based interventions to improve digital safety. To address this gap, we surveyed 5,001 adults in the United States to analyze: (1) the frequency of and relationship between digital-safety attacks (e.g., scams, harassment, account hacking), and (2) how these attacks align with 10 contextual risk factors. Nearly half of our respondents identify as resource constrained, which significantly correlates with higher likelihood of experiencing four common attacks. We also present qualitative insights to expand our understanding of the factors beyond the existing literature (e.g., "prominence" included high-visibility roles in local communities). This study provides the first large-scale quantitative analysis correlating digital-safety attacks with contextual risk factors and demographics.
- at-risk users
- survey
- digital safety
- research methods
- attitudes
- measurement
Cite this paper
@inproceedings{heung2026who,
title = {Who Is At Risk? Examining the Prevalence of Digital-Safety Attacks and Contextual Risk Factors in the United States},
author = {Heung, Sharon and Weizenegger, Claire Florence and Houtti, Mo and Consolvo, Sunny and Kelley, Patrick Gage and Matthews, Tara and Shelby, Renee and Thomas, Kurt and Walker, Ashley Marie},
year = {2026},
doi = {10.1145/3772318.3791463},
url = {https://doi.org/10.1145/3772318.3791463},
booktitle = {Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI '26), Barcelona, Spain, 1214:1–1214:30, 2026},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
}