Not All Money Is the Same: The Meanings of Money in Online Fraud

In this study, we explore the various ways online fraudsters define money through an analysis of posts on fraud-centered message boards located on the dark web forum Dread. Our examination of over 4,000 posts from 2019 to 2024 finds that online fraudsters view money in several conceptually distinct ways: as easy, difficult, tangible, initial, and risky. We add to understanding of the multifaceted character of digital money and the ways offenders define money. We discuss implications of these findings for models of decision-making, such as deterrence and rational choice. We also provide suggestions for policy-makers and practitioners to better catch or deter the individuals committing online fraud.

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Institutions

Publication Details

Journal
Crime & Delinquency
Published
2025-02-26
DOI
https://doi.org/10.1177/00111287251321442
Citations
4
Primary Topic
Cybercrime and Law Enforcement Studies
Type
article
Field-Weighted Citation Impact
12.98
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article

Not All Money Is the Same: The Meanings of Money in Online Fraud

Timothy Dickinson, Fangzhou Wang, Adam Kavon Ghazi-Tehrani
4 citations
Crime & Delinquency
Cybercrime and Law Enforcement Studies
12.98
article

Not All Money Is the Same: The Meanings of Money in Online Fraud

Timothy Dickinson, Fangzhou Wang, Adam Kavon Ghazi-Tehrani
article en
4 citations

Abstract

In this study, we explore the various ways online fraudsters define money through an analysis of posts on fraud-centered message boards located on the dark web forum Dread. Our examination of over 4,000 posts from 2019 to 2024 finds that online fraudsters view money in several conceptually distinct ways: as easy, difficult, tangible, initial, and risky. We add to understanding of the multifaceted character of digital money and the ways offenders define money. We discuss implications of these findings for models of decision-making, such as deterrence and rational choice. We also provide suggestions for policy-makers and practitioners to better catch or deter the individuals committing online fraud.

Crime & Delinquency
University of Alabama (US), The University of Texas at Arlington (US), Indiana University Bloomington (US)
Openalex Percentile: Top 2%
Cybercrime and Law Enforcement Studies
12.98
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