Year: 2005
Type: report
Abstract: Copyright c○2005 P.S. Keila and D.B. Skillicorn Deception theory suggests that deceptive writing is characterized by reduced frequency of first-person pronouns and exclusive words, and elevated frequency of negative emotion words and action verbs. We apply this model of deception to the Enron email dataset, and then apply singular value decomposition to elicit the correlation structure between emails. This allows us to rank emails by how well they fit the profile of detection. Those emails that are highly ranked using this approach include deceptive emails; other emails that are ranked highly using these frequency counts also indicate organizational dysfunctions such as improper communication of information. Hence this approach can be used as a tool for both external investigation of an organization, and internal management and regulatory compliance.
Authors: P. S. Keila, David B. Skillicorn
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W176196942