# Mapping AI Arguments in Journalism Studies

**Authors:** Gregory Gondwe  
**arXiv:** [2309.12357](https://arxiv.org/abs/2309.12357)  
**Date:** 2023-09-03  
**Summary page:** https://www.summarizepaper.com/en/paper/2309.12357v1/

## Key points

- Study focuses on the use of AI in journalism and mass communication research, specifically Automated News Writing (ANW)
- Application of machine learning models such as RNNs, LSTMs, and transformer-based models like GPT-3 for generating news content
- Journalists can train AI systems to understand news article structures, identify relevant information, and produce coherent and accurate content
- Post-processing is conducted to enhance coherence, readability, and accuracy of generated content
- Evaluation of automated news stories against human-written articles to ensure journalistic standards are met

## Summary

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This study explores the use of Artificial Intelligence (AI) in journalism and mass communication research, specifically focusing on Automated News Writing (ANW). The researchers delve into the application of machine learning models, such as Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and transformer-based models like GPT-3, for generating news content. By categorizing datasets and selecting appropriate models, journalists can train AI systems to understand news article structures, identify relevant information, and produce coherent and contextually accurate content. In the process of automated news writing, journalists provide input prompts to the trained model, guiding it to generate complete news articles based on language patterns learned during training. Post-processing is then conducted to enhance coherence, readability, and accuracy of the generated content. To evaluate the quality of automated news stories, comparisons are made against human-written articles to ensure journalistic standards are met. A practical example illustrates how a trained model for sports news articles can generate a complete news article based on a specific prompt about a Women's World Cup match between Japan and Zambia. The model produces a detailed account of the match outcome and player performances, showcasing its ability to create engaging narratives from structured data. Overall, this study provides insights into the implementation of AI technologies in journalism through ANW processes. By understanding different subfields of AI and utilizing appropriate machine learning models, journalists can leverage automation tools to streamline news production while maintaining editorial integrity and quality standards.