Work

Identifying power relationships in conversations: the case of Pygmalion

Year: 2024

Type: article

Abstract: Power relationships express one party’s dominance, control, influence, and authority over the other. In this article, and using state-of-the-art AI tools, we show that power relationships can be automatically identified in textual data. Generating thousands of synthetic utterances expressing either dominance or compliance, we trained/ran three models that showed good classification performance. Moreover, using GPT-4, we present a novel method for presenting power asymmetry in conversations and visualizing the dynamics of power relationships over time. This methodology is presented and illustrated by analyzing a case study—The play Pygmalion by George Bernard Show.

Source: Digital Scholarship in the Humanities

DOI: 10.1093/llc/fqae053

Authors: Yair Neuman, Yochai Cohen

Institutions: Ben-Gurion University of the Negev, Gilasio Coding (Israel)

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Defense Advanced Research Projects Agency, Advanced Research Projects Agency

Award: G1827621170