Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A Move Analysis of a ChatGPT-4o-Generated News Release: Insights from a Quasi-Experimental Study in the Digital Transformation Era
0
Zitationen
1
Autoren
2025
Jahr
Abstract
This quasi-experimental paper aims to assess the quality of news releases generated by ChatGPT-4o. To that end, I purposively selected a short news release from PR Newswire—a global press release distribution partner. The news release was divided into sentences and fed to ChatGPT-4o, which was prompted to generate a news release based on the provided information. To orient analysis, the study proposed a rhetorical move model comprising three main constant (obligatory) moves—headline, lead, and body—and optional sub-moves within the lead and body that may vary from one situation to another. This paper recommends customized news release training for ChatGPT. The paper is expected to be of considerable value and benefit to PR educators and practitioners, presenting both (a) a cover-all prompt model for producing news releases using ChatGPT and (b) a model example for manually crafting news releases. Ultimately, the paper lays the groundwork for future research on the capabilities of other AI writing tools and their applications to various genres.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.287 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.140 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.534 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.450 Zit.