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Few-Shot Information Operation Detection Using Active Learning Approach., and . SBP-BRiMS, volume 14161 of Lecture Notes in Computer Science, page 253-262. Springer, (2023)Comparing Methods for Creating a National Random Sample of Twitter Users, , , , , , , and . ArXiv, (2024)Distributions of Opinion and Extremist Radicalization: Insights from Agent-Based Modeling., and . SocInfo, volume 8851 of Lecture Notes in Computer Science, page 348-358. Springer, (2014)Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning, , , , , , , and . (2024)Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic., , , and . Int. J. Data Sci. Anal., 13 (4): 315-333 (2022)Forecasting Exchange Rates: A Neuro-Fuzzy Approach., , , and . IFSA/EUSFLAT Conf., page 1745-1750. (2009)Intergroup Conflict Escalation Leads to More Extremism., , , and . J. Artificial Societies and Social Simulation, (2014)Comparison of different input selection algorithms in neuro-fuzzy modeling., , , and . Expert Syst. Appl., 39 (1): 1536-1544 (2012)Leveraging Large Language Models for Fact-Checking Farsi News Headlines., , , , , , , , , and 1 other author(s). MISDOOM, volume 15175 of Lecture Notes in Computer Science, page 16-31. Springer, (2024)ChatGPT outperforms crowd workers for text-annotation tasks, , and . Proceedings of the National Academy of Sciences, 120 (30): e2305016120 (2023)