Kristina Koch

Project Title

Authenticity in communication is of utmost importance to those who attempt to feign authenticity and is also relevant to those who would prefer to banish inauthenticity, whether the sphere is public relations, politics, health care, dating or courts of law. Dialogue interactions in multiple modalities will be analyzed with the aim of identifying features that discriminate authentic and pretended engagement. The work will involve assembling a multi-modal corpus of evidently un-scripted dialogue interactions, annotation with respect to authenticity categories of interest, and analysis through combinations of close inspection, semi-automated processing and data mining to identify features that separate authentic and inauthentic dialogue communications.

Supervision Team

Authenticity in communication is of utmost importance to those who attempt to feign authenticity and is also relevant to those who would prefer to banish inauthenticity, whether the sphere is public relations, politics, health care, dating or courts of law. Dialogue interactions in multiple modalities will be analyzed with the aim of identifying features that discriminate authentic and pretended engagement. The work will involve assembling a multi-modal corpus of evidently un-scripted dialogue interactions, annotation with respect to authenticity categories of interest, and analysis through combinations of close inspection, semi-automated processing and data mining to identify features that separate authentic and inauthentic dialogue communications.

Description

Authenticity in communication is of utmost importance to those who attempt to feign authenticity and is also relevant to those who would prefer to banish inauthenticity, whether the sphere is public relations, politics, health care, dating or courts of law. Dialogue interactions in multiple modalities will be analyzed with the aim of identifying features that discriminate authentic and pretended engagement. The work will involve assembling a multi-modal corpus of evidently un-scripted dialogue interactions, annotation with respect to authenticity categories of interest, and analysis through combinations of close inspection, semi-automated processing and data mining to identify features that separate authentic and inauthentic dialogue communications.