Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
553267 | Decision Support Systems | 2011 | 7 Pages |
Abstract
A computational fraud detection model (CFDM) was proposed for detecting fraud in financial reporting. CFDM uses a quantitative approach on textual data. It incorporates techniques that use essentially all of information contained in the textual data for fraud detection. Extant work provides a foundation for detecting deception in high and low synchronicity computer-mediated communication (CMC). CFDM provides an analytical method that has the potential for automation. It was tested on the Management's Discussion and Analysis from 10-K filings and was able to distinguish fraudulent filings from non-fraudulent ones. CFDM can serve as a screening tool where deception is suspected.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Fletcher H. Glancy, Surya B. Yadav,