Automated journalism: building an intelligent news production workflow for a competitive edge

Caccavale, Fabiana (A.A. 2022/2023) Automated journalism: building an intelligent news production workflow for a competitive edge. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 121. [Master's Degree Thesis]

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Abstract/Index

AI in the news industry. News gathering. News production. News distribution. The global landscape of automated journalism. Structural and algorithmic choices. Structural considerations. Algorithmic approaches. BERT language model. Introduction to BERT. BERT architecture. Pre-training and fine-tuning BERT. Applications of BERT in NLP. News production workflow. Pipeline overview. News pre-processing. News aggregation. IPTC classification. Named entity recognition. News summarization. Translation. Image generation. Ethical and legal consideration. Balancing artificial and human intelligence. Alignment with EU regulations.

References

Bibliografia: 90-100.

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: Spagnoletti, Paolo
Academic Year: 2022/2023
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 09 Jan 2024 13:38
Last Modified: 09 Jan 2024 13:38
URI: https://tesi.luiss.it/id/eprint/37427

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