Developing a narrative theory of deception for the analysis of mock-Covert Human Intelligence Source (CHIS) accounts

Abstract

Human source intelligence (HUMINT) practitioners are concerned with detecting informant deception, and previous research indicates that the verbal content of an informant’s narrative can be used to identify potential deceit. The current study extends previous research by analysing the narrative structure and narrative identity of accounts provided by 22 participants undertaking the role of a mock-informant. Results indicate that deception affects the structure of a mock-informant narrative, with deceptive mock-informants employing abstract introductions and evaluative remarks to withhold information and to distract their listeners with emotional content. Additionally, deceptive mock-informants are more likely to express a low potency narrative role, such as a victim or tragic hero. Furthermore, there is tentative evidence to suggest that an analysis of narrative identity can also provide an indication of varying levels of motivation and cooperation among truthful mock-informants. These findings have implications for HUMINT practitioners in the field and add to the wider body of deception detection research.