Fake news in LLMs: NLP techniques and genetic optimization for fake news detection
Crisafulli, Martina (A.A. 2022/2023) Fake news in LLMs: NLP techniques and genetic optimization for fake news detection. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 75. [Master's Degree Thesis]
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Abstract/Index
Fake news: understanding the context. Taxonomy and definitions. A bit of historical context. Factors influencing the spread of fake news. The diffusion of fake news: opinion dynamics. Human-generated text and machine-generated one: generative AI. Large language models. The LLM society uses every day: ChatGPT. Fact-checking: state of the art. Fake news detection. Hoax epidemic model and fact checking. News-content based analysis. Machine learning: how can AI limit fake news diffusion. Limitations of current approaches.
References
Bibliografia: pp. 66-72.
| 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: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 22 May 2024 12:32 |
| Last Modified: | 22 May 2024 12:32 |
| URI: | https://tesi.luiss.it/id/eprint/38604 |
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