Paper Title
Unveiling the Impact of ChatGPT in Data Journalism: A Case Study
Article Identifiers
Authors
Ashutosh Sharma
Keywords
Artificial Intelligence, ChatGPT, Data Journalism, Fake News, Generative Artificial Intelligence, Machine Learning, NLP
Abstract
Generative Artificial Intelligence (AI) has become an increasingly popular tool in data journalism, enabling journalists to automate the creation of news stories and visualizations. While generative AI has the potential to improve the efficiency and productivity of newsrooms, there are concerns about its impact on the quality and integrity of news. This research aims to investigate the adverse impact of generative AI in data journalism, through a case study analysis. The study will examine a specific generative AI model (ChatGPT) used in data journalism and evaluate its impact on the quality and accuracy of the generated content. The findings of this research will provide insights into the potential risks and limitations of generative AI in data journalism, and contribute to the development of best practices for its use.
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How To Cite (APA)
Ashutosh Sharma (January-2024). Unveiling the Impact of ChatGPT in Data Journalism: A Case Study . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(1), c334-c343. https://ijnrd.org/papers/IJNRD2401244.pdf
Issue
Volume 9 Issue 1, January-2024
Pages : c334-c343
Other Publication Details
Paper Reg. ID: IJNRD_212887
Published Paper Id: IJNRD2401244
Downloads: 000121983
Research Area: Engineering
Country: Agra, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2401244.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2401244
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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