Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challenges
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2023
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| Acceso en línea: | |
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| _version_ | 1866914772711112704 |
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| author | Pastor-Galindo, Javier Nespoli, Pantaleone Ruipérez-Valiente, José A. |
| author_facet | Pastor-Galindo, Javier Nespoli, Pantaleone Ruipérez-Valiente, José A. |
| contents | This article presents the affordances that Generative Artificial Intelligence can have in misinformation and disinformation contexts, major threats to our digitalized society. We present a research framework to generate customized agent-based social networks for disinformation simulations that would enable understanding and evaluating the phenomena whilst discussing open challenges. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_07545 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challenges Pastor-Galindo, Javier Nespoli, Pantaleone Ruipérez-Valiente, José A. Social and Information Networks Multiagent Systems This article presents the affordances that Generative Artificial Intelligence can have in misinformation and disinformation contexts, major threats to our digitalized society. We present a research framework to generate customized agent-based social networks for disinformation simulations that would enable understanding and evaluating the phenomena whilst discussing open challenges. |
| title | Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challenges |
| topic | Social and Information Networks Multiagent Systems |
| url | https://arxiv.org/abs/2310.07545 |