Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challenges

التفاصيل البيبلوغرافية
العنوان: Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challenges
المؤلفون: Pastor-Galindo, Javier, Nespoli, Pantaleone, Ruipérez-Valiente, José A.
المصدر: IEEE Security & Privacy, 2024
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Social and Information Networks, Computer Science - Multiagent Systems
الوصف: 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.
نوع الوثيقة: Working Paper
DOI: 10.1109/MSEC.2024.3380511
URL الوصول: http://arxiv.org/abs/2310.07545
رقم الانضمام: edsarx.2310.07545
قاعدة البيانات: arXiv
الوصف
DOI:10.1109/MSEC.2024.3380511