Automating news: the role of AI in journalism
Navarra, Filippo (A.A. 2024/2025) Automating news: the role of AI in journalism. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 65. [Master's Degree Thesis]
|
PDF (Full text)
Download (5MB) | Preview |
Abstract/Index
Journalism in the digital era. Defining automated journalism. Technological foundations. Benefits of AI in newsroom workflows. Risks and challenges. Summary of literature gaps. The problem: why agencies are turning to AI. Changing information ecosystem. Bottlenecks in traditional news workflows. Operational pressures. Editorial challenges. Need for workflow and information flow automation. The solution: applying AI and GenAI to news automation. Overview of AI solutions in the news industry. Generative AI for news content. Machine learning for editorial assistance. Human-in-the-loop vs. Full automation. Designing the journalist journey: tracing a news article in an AI-powered newsroom. News gathering. News processing. News generation. News distribution.
References
Bibliografia: pp. 61-65.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Machine learning |
| Thesis Supervisor: | Italiano, Giuseppe Francesco |
| Thesis Co-Supervisor: | Finocchi, Irene |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 11 Sep 2025 10:54 |
| Last Modified: | 11 Sep 2025 10:54 |
| URI: | https://tesi.luiss.it/id/eprint/43141 |
Downloads
Downloads per month over past year
Repository Staff Only
 |
View Item |
