Examining Media for Fraud Detection

Nowadays a corporation’s public image plays a major role in that company’s decisions and financials. This project involves predicting fraud and errors within the financial statements of publicly traded companies. The goal is to incorporate information such as press releases and industry media coverages to provide an insight to these companies under audit and their industries. Ultimately, this would be used as a tool to assist auditors identify fraud and errors within these financial statements.
This project covers analyzing collected media information for features such as corporate sentiments, public opinions, and trend predictions. This can help identify misstatement within annual financial statements, stock manipulation, and other issues.

Faculty Supervisor:

Suzanne Stevenson


Ran Zhang


CaseWare International


Computer science


Information and communications technologies




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