Uses WildChat
Developing Story: Case Studies of Generative AI's Use in Journalism
SoLaR Workshop at NeurIPS 2024 · First arXiv submission
Matches conversations in WildChat to published articles from two news agencies, documenting how source material and generated drafts enter journalistic workflows. The study examines input materials, overlap with published text, and publication timing.
Data used
An earlier WildChat release containing approximately 650,000 conversations.
Findings
The authors match 78 conversations to 111 published articles and report a median output-to-publication ROUGE-L overlap of 0.62.
Section 2: dataset release. Table 1: matched conversations and articles. Section 3: text overlap. Read the source.
Dates and versions
First arXiv version, initially titled Breaking News; the revised title is Developing Story. ArXiv version history.
2024 arXiv preprint under its revised title, Developing Story; also published at SoLaR 2024.
Cite this paper
Natalie Grace Brigham, Chongjiu Gao, Tadayoshi Kohno, Franziska Roesner, Niloofar Mireshghallah. 2024. Developing Story: Case Studies of Generative AI's Use in Journalism. arXiv preprint.
Show BibTeX
@misc{brigham2024developingstory,
title = {{Developing Story: Case Studies of Generative AI's Use in Journalism}},
author = {Brigham, Natalie Grace and Gao, Chongjiu and Kohno, Tadayoshi and Roesner, Franziska and Mireshghallah, Niloofar},
year = {2024},
doi = {10.48550/arXiv.2406.13706},
eprint = {2406.13706},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2406.13706}
}