Shattering Gender Stereotypes in Scam Awareness and Education
- Date:December 12, 2023
- Author(s):
- Suzanne Sando
- Report Details: 11 pages, 3 graphics
- Research Topic(s):
- Fraud & Security
- Fraud Management
- PAID CONTENT
Overview
Inherent biases exist everywhere, including in how financial institutions educate consumers about the dangers of scams. Bias in cyber and fraud prevention education is based, in part, on assumptions FIs make about which age groups, genders, and socioeconomic groups are most susceptible to fraud.
Javelin finds that the assumptions many of us make about fraud risk, particularly when it comes to gender, are incorrect, ignored, or downplayed to the point that those assumptions have made cybersecurity and fraud prevention education essentially ineffective. Javelin’s 2022 consumer fraud survey finds significant differences between consumers identifying as female versus male, not only in fraud losses but also in the types of scams most likely to ensnare them. Noting the gender response limitation for consumers—in that consumers were provided only two gender options—Javelin finds striking differences among genders where victimization is concerned.
Key questions discussed in this report:
- What biases exist in the way consumers are educated about scam risks, and how are they based on assumptions made by FIs about which groups are most likely to be targeted by specific types of schemes?
- How do criminals modify their tactics to victimize different genders?
- Are FIs equipped to address scam education and awareness gaps that differ among gender groups?
Book a Meeting with the Author
Related content
States of Uncertainty: How Cyber-Threat Intel Reduces Digital Transactional Risk
Digital identity standards, privacy laws, and verification tools vary across states, so financial institutions have gaps that cybercriminals are quick to exploit. Leading organizat...
Synthetic 2.0: Evolving Identities Challenge Fraud Prevention
Synthetic identity fraud is a rapidly growing criminal ecosystem powered by stolen data, AI, and sophisticated fraud networks. As losses go unreported or are categorized as bad deb...
Who’s Scamming Whom? Scam Ad Revenue Surges on Social Media
Scam advertisements on social media platforms are increasingly industrialized, prompting international law enforcement operations from the newly created U.S. Scam Center Strike For...
Make informed decisions in a digital financial world