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Mapping the Intersection of Digital Fraud and Financial Literacy: A Bibliometric Analysis of Research, 2015–2026

This bibliometric analysis of 523 documents from 2015 to 2026 maps the rapidly expanding, cross-disciplinary field of digital fraud and financial literacy, revealing six thematic clusters and highlighting a critical research gap between behavioral literacy studies and technical fraud detection.

Original authors: Ailen Laguda

Published 2026-08-11
📖 5 min read🧠 Deep dive

Original authors: Ailen Laguda

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine the internet as a giant, bustling digital city. In this city, money doesn't just sit in a vault; it zips around on invisible highways, moving from phone to phone and screen to screen. But just like in a real city, there are pickpockets and con artists. These digital thieves don't just hack into computer systems; they often trick people into handing over their own passwords or bank details through clever lies, fake emails, and social engineering. This is digital fraud.

To fight these tricks, people have developed a shield called financial literacy. Think of this not just as knowing how to balance a checkbook, but as having a "fraud radar." It's the ability to spot a scam, understand how money works in the digital age, and recognize when someone is trying to manipulate you. For a long time, the people who study the thieves (like computer scientists building security systems) and the people who study the victims (like psychologists and economists looking at how people think) worked in separate neighborhoods. They rarely talked to each other. This paper asks a big question: What happens when we finally map out the entire city to see how these two groups are actually connected?


The Great Map of Digital Scams and Smart Money

In this study, a researcher named Ailen Laguda decided to play the role of a cartographer for this digital city. Instead of walking the streets, they used a powerful tool called bibliometric analysis. Imagine this as a super-powered telescope that doesn't look at stars, but at scientific papers. By scanning the titles, abstracts, and references of thousands of documents, the researcher could see the "shape" of the knowledge out there.

The study looked at 523 documents published between 2015 and 2026. The goal was to see how fast this field is growing, who is writing the papers, and what the main topics are.

The Explosion of Interest

The first thing the map revealed was a massive explosion. Before 2018, only a handful of papers (fewer than 15 a year) were written about the link between digital fraud and financial literacy. But starting in 2022, the numbers skyrocketed. By 2025, there were 163 papers in a single year. In fact, about 60% of all the research in this entire field was published in just the last three years (2023–2025). This suggests the field is very young and growing incredibly fast, like a new neighborhood that is being built overnight.

The Lonely Researchers

When the researcher looked at who was writing these papers, they found something surprising: everyone is working alone. Out of 1,245 different authors, no single person wrote more than three papers. There are no "superstars" leading the pack. Even more interesting, the researchers aren't really talking to each other. The map showed that the field is highly fragmented. There is no big, connected team of collaborators. Instead, it's like a city filled with many small, isolated groups of friends, but no one group is big enough to connect everyone else.

Six Neighborhoods of Knowledge

The most exciting part of the map was how the topics sorted themselves out. The researcher found six distinct "neighborhoods" or clusters of ideas that researchers are exploring:

  1. The Accountants and Auditors: This group focuses on the rules, checks, and balances—like forensic accounting and internal controls—to catch fraud.
  2. The Psychologists and Educators: This cluster is all about the human mind. They study financial literacy, consumer psychology, and why people fall for scams.
  3. The Tech Wizards: These are the computer scientists and AI experts building machine-learning systems to detect fraud automatically.
  4. The Digital Money Crew: This group looks at fintech, digital payments, mobile banking, and the new ways money moves that create new risks.
  5. The Lawyers and Regulators: They focus on laws, consumer protection, and government rules.
  6. The Security Guards: This cluster deals with information security, privacy, identity theft, and blockchain.

While these groups exist, the map showed a "gap" between them. The Tech Wizards (who build the detection systems) and the Psychologists (who study how to teach people to be safe) are living in the same city but rarely visiting each other's houses. The paper suggests that while they are both fighting the same enemy, they aren't yet working together as a single team.

The Cutting Edge

The map also showed which topics are the newest. The "Digital Money Crew" and the "Tech Wizards" are the most active and recent groups. Concepts like fintech, blockchain, digital literacy, and financial inclusion are the hottest topics right now, appearing in the most recent papers. In contrast, the legal and regulatory discussions are a bit older. This tells us the field is shifting its focus toward the fast-moving world of digital finance and high-tech detection.

The Bottom Line

This paper doesn't claim to have solved the problem of digital fraud. Instead, it provides the first clear map of how we are currently trying to understand it. It shows that while research is booming and covering all the right bases—from psychology to artificial intelligence—the different experts haven't fully connected their dots yet. The study suggests that the future of fighting digital scams might depend on bridging the gap between the people who study human behavior and the people who build the technology, ensuring that our "fraud radar" is as smart as the tools we use to catch the thieves.

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