The role of machine learning in automatic fake news detection
Bozzi, Martina (A.A. 2022/2023) The role of machine learning in automatic fake news detection. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 72. [Master's Degree Thesis]
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Abstract/Index
The importance of automatic fake news detection. Problem statement, and research question. Literature review and state of the art. Fake news detection. Algorithmic approach to automatic fake news detection. Libraries. Dataset. Natural language pre-processing. Classical machine learning algorithms. Performance metrics in classification. Random forest. Naive bayes. K-nearest neighbors. BERT in fake news classification. BERT-bidirectional encoder representations from transformers. Model evaluation. GPT3 and its role in misinformation. What is GPT3. Role of GPT3 in the spread of disinformation. Ethical issues and bias related to open AI.
References
Bibliografia: pp. 66-69.
| 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: | Sinaimeri, Blerina |
| Academic Year: | 2022/2023 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 22 May 2024 12:27 |
| Last Modified: | 22 May 2024 12:27 |
| URI: | https://tesi.luiss.it/id/eprint/38603 |
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