A listed company might publish all types of material, like investor presentations, press releases, calls for shareholder meetings, etc. These may all be interesting from a corporate fraud detection point of view. This chapter explores various methods for detecting corporate fraud risk beyond traditional financial statement analysis. It emphasizes the use of text analytics and machine learning models to identify suspicious patterns in news, social media, and other public disclosures. The chapter also discusses the timing of disclosures, earnings announcements, and shareholder meetings as potential red flags. Additionally, it highlights unusual equity issuances, stock splits, share buybacks, and financial restatements as indicators of fraudulent activity. These diverse approaches can help investors proactively identify corporate fraud.