Enriching German News Articles with AI-Generated Content
Version
Published
Date Issued
2023-06-14
Author(s)
Herold, Nicole
Type
Conference Paper
Language
English
Abstract
Newspapers or magazines currently often publish articles in print or online in almost identical versions, maybe just adding links to related content or a user forum online. For further enriching the original article, we investigated methods to create different types of content automatically with state-of-the-art generative language models: (1) Keynotes, (2) a summary, and (3) a content-related quiz (i.e., a question with answers). Our study is based on 2.5k German articles from the Swiss daily newspaper ”Tages-Anzeiger”. Our evaluation with a professional editor showed that content generated by ChatGPT from OpenAI outperformed traditional NLP methods as well as human-generated content.
Subjects
QA75 Electronic computers. Computer science
Publisher URL
Conference
SwissText 2023
Submitter
VogelJ
Citation apa
Herold, N., & Vogel, J. (2023). Enriching German News Articles with AI-Generated Content. SwissText 2023. https://doi.org/10.24451/arbor.20723
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