mlsanityData to 7 Oct 2026

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

arXiv 2406.13706 ↗First posted 19 Jun 2024cs.CL cs.AI cs.CYcited by 10

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Abstract (arXiv)

Journalists are among the many users of large language models (LLMs). To better understand the journalist-AI interactions, we conduct a study of LLM usage by two news agencies through browsing the WildChat dataset, identifying candidate interactions, and verifying them by matching to online published articles. Our analysis uncovers instances where journalists provide sensitive material such as confidential correspondence with sources or articles from other agencies to the LLM as stimuli and prompt it to generate articles, and publish these machine-generated articles with limited intervention (median output-publication ROUGE-L of 0.62). Based on our findings, we call for further research into what constitutes responsible use of AI, and the establishment of clear guidelines and best practices on using LLMs in a journalistic context.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 11 of its 28 references that are in the map. First posted on arXiv 19 Jun 2024.

Builds on

11 of 28 references.

References · 11

  1. 2024WildChat: 1M ChatGPT Interaction Logs in the Wildcited by 598
  2. 2019Release Strategies and the Social Impacts of Language Modelscited by 505
  3. 2023A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Uglycited by 380
  4. 2023Can AI-Generated Text be Reliably Detected?cited by 372
  5. 2024Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviewscited by 160
  6. 2023On the Risk of Misinformation Pollution with Large Language Modelscited by 124
  7. 2024Mapping the Increasing Use of LLMs in Scientific Paperscited by 112
  8. 2023Copyright Violations and Large Language Modelscited by 108
  9. 2023On the Possibilities of AI-Generated Text Detectioncited by 88
  10. 2023Testing of Detection Tools for AI-Generated Textcited by 86
  11. 2023Privacy Implications of Retrieval-Based Language Modelscited by 31

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 6.

10 papers.

  1. 2025Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wildcited by 24
  2. 2025Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Abilitycited by 10
  3. 2025AI use in American newspapers is widespread, uneven, and rarely disclosedcited by 9
  4. 2026Agentic LLMs as Powerful Deanonymizers: Re-identification of Participants in the Anthropic Interviewer Datasetcited by 6
  5. 2026Lessons Without Borders? Evaluating Cultural Alignment of LLMs Using Multilingual Story Moral Generationcited by 1
  6. 2026Measuring Distribution Shift in User Prompts and Its Effects on LLM Performancecited by 1
  7. 2025Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection Against LLM-Generated Threatscited by 0
  8. 2026CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generationcited by 0
  9. 2026LLMs Should Incorporate Explicit Mechanisms for Human Empathycited by 0
  10. 2026Data Journalist Agent: Transforming Data into Verifiable Multimodal Storiescited by 0