He specializes in text mining applications for accounting-related research. His 2011 paper in Decision Support Systems, “Identification of fraudulent financial statements using linguistic credibility analysis” was one of the first articles to use text mining to detect fraud. Subsequent text mining articles reported on detecting deception in CEO interviews, automatic topic identification in journal articles, the urgency in SEC comment letters, and even deception in 911 emergency calls. Dr. Moffitt is well-known in the field of Accounting Information Systems for building his own tools for linguistic analysis and devising novel methods for capturing research constructs from text.