Social-to-news: contrasting misinformation on social media via a rag-enhanced chatbot–a study of twitter posts during the Israel-Hamas conflict
Kichelmacher, Greta (A.A. 2023/2024) Social-to-news: contrasting misinformation on social media via a rag-enhanced chatbot–a study of twitter posts during the Israel-Hamas conflict. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Alessio Martino, pp. 90. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Exploring the evolution of information systems in the age of social media platforms. The evolving world of information. The architecture of biased information in the digital age. Research purpose and technical approach. Literature review. How young people consume news and how fake news are contrasted. Media and conflict: a review of social media's role in the Israeli-Palestinian narrative. Large language models (LLMs) and retrieval-augmented generation (rag) literature review. Innovations and contributions of this research. Methodology. Comprehensive model overview. Criteria for selecting newspapers. Data model. Model development. Results. Model evaluation strategy. Metrics used.
References
Bibliografia: pp. 76-88.
| 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: | Data science in action |
| Thesis Supervisor: | Martino, Alessio |
| Thesis Co-Supervisor: | Sinaimeri, Blerina |
| Academic Year: | 2023/2024 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 10 Jun 2025 10:47 |
| Last Modified: | 10 Jun 2025 10:47 |
| URI: | https://tesi.luiss.it/id/eprint/42406 |
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