Testing Generative AI for Source Audits in Student-Produced Local News

Rahul Bhargava, Elisabeth Hadjis and Meg Heckman

No 7hc2d, SocArXiv from Center for Open Science

Abstract: This study tests the capacity of ChatGPT to measure the gender diversity and social standing of sources quoted in stories published by a university-based local news organization. Student journalists were more likely than their professional counterparts to quote women and frequently featured sources who are not “social elites.” We interrogate both sourcing practices and the ethics of generative AI, arguing that university-based local news organizations can serve as testing arenas for emerging technology.

Date: 2024-08-10
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:7hc2d

DOI: 10.31219/osf.io/7hc2d

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