Journalism Students’ Use, Expectations, and Understanding of Generative AI Tools

Datos Bibliográficos

ID21643508
AutoresAaron S Veenstra (0000-0003-4574-3097, Florida Atlantic University, Boca Raton, USA, autor de correspondencia), Marcy Wilder (Florida Atlantic University, Boca Raton, USA), Farhin Shimu (Florida Atlantic University, Boca Raton, USA), Luke Schlauder (Florida Atlantic University, Boca Raton, USA), Francesca Dousdebés (Florida Atlantic University, Boca Raton, USA)
Año2025
Volumen80
Número1
Páginas115-128
Fecha de publicación2025-03-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournalism & Mass Communication Educator (JOURNAL)
Identificadores de la revistaISSN: 1077-6958 • E-ISSN: 2161-4326
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/10776958241296474
OpenAlexW4404387482
IdiomaEN
Citas recibidas7
Referencias citadas20

This study investigates how journalism students perceive and use large language models (LLMs), such as ChatGPT, their understanding of the technology, and their ethical considerations. Findings indicate that while students see LLMs as inevitable tools in their future careers, they often misunderstand how these tools generate content, in part because they lack more fundamental knowledge about digital tools. The paper emphasizes the need for tech literacy in journalism programs among both students and faculty

Generative grammar · Journalism · Media studies · Sociology · Artificial Intelligence in Healthcare and Education · Big Data and Business Intelligence · Computer Science · Ethics and Social Impacts of AI · Psychology · Artificial Intelligence