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Summary of Developing Story: Case Studies Of Generative Ai’s Use in Journalism, by Natalie Grace Brigham et al.


Developing Story: Case Studies of Generative AI’s Use in Journalism

by Natalie Grace Brigham, Chongjiu Gao, Tadayoshi Kohno, Franziska Roesner, Niloofar Mireshghallah

First submitted to arxiv on: 19 Jun 2024

Categories

  • Main: Computation and Language (cs.CL)
  • Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
This study examines the interactions between journalists and large language models (LLMs) at two news agencies. By analyzing the WildChat dataset, the researchers identify candidate interactions and verify them against published articles online. The findings reveal that journalists use LLMs to generate articles with minimal human intervention, often using sensitive material like confidential correspondence or articles from other sources as stimuli. The median output-publication ROUGE-L score for these machine-generated articles is 0.62. This study highlights the need for further research into responsible AI usage and the establishment of guidelines for using LLMs in a journalistic context.
Low GrooveSquid.com (original content) Low Difficulty Summary
Researchers studied how journalists use large language models (AI) to create news articles. They looked at data from two news agencies and found that some journalists use AI to generate articles with minimal human input. The AI is trained on sensitive information like confidential emails or articles from other sources. The results show that the generated articles are pretty good, but there’s a need for more research into how journalists can use AI responsibly.

Keywords

* Artificial intelligence  * Rouge