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Bot GPT 3.5 Research Gap:
Despite the advancements in technology and the implementation of various fraud detection and prevention measures in financial statement auditing, there is still a gap in the literature regarding the effectiveness of these strategies in detecting and preventing financial statement fraud. While previous studies have explored the use of data analytics, machine learning, and forensic techniques in fraud detection, there is limited research on the integration of these methods with traditional auditing procedures to enhance fraud detection accuracy. Additionally, there is a lack of comprehensive studies evaluating the cost-effectiveness and practical feasibility of implementing these advanced technologies in financial statement auditing processes. Therefore, there is a need for further research to evaluate the current trends in fraud detection and prevention in financial statement auditing and to identify the gaps in existing practices that could be addressed to improve the effectiveness of fraud detection measures.