Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents
Shenzhen International Graduate School Tsinghua University（清华大学深圳国际研究生院）；Department of Electronic Engineering Tsinghua University（清华大学电子工程系）；Northeastern University at Qinghuangdao（清华大学秦皇岛分校）；Department of Computer Science University of California Irvine（加州大学 Irvine 分校计算机科学系）
User sentiment on social media reveals the underlying social trends, crises, and needs. Researchers have analyzed users' past messages to trace the evolution of sentiments and reconstruct sentiment dynamics. However, predicting the imminent sentiment of an ongoing event is rarely studied. In this paper, we address the problem of \textbf{sentiment forecasting} on social media to predict the user's future sentiment in response to the development of the event. We extract sentiment-related features to enhance the modeling skill and propose a multi-perspective role-playing framework to simulate the process of human response. Our preliminary results show significant improvement in sentiment forecasting on both microscopic and macroscopic levels.
University of California San Diego（加州大学圣迭戈分校）；Georgia Institute of Technology（佐治亚理工学院）；New York University（纽约大学）；Tulane University（路易斯安那州立大学）；Southern Methodist University（南方 Methodist 大学）
Event-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant Trading
Department of Physics, University of Cambridge, Cambridge, UK（剑桥大学物理系）；Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK（剑桥大学应用数学与理论物理系）
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration
Holistic AI（整体人工智能公司）；University College London（伦敦大学学院）；Stanford University（斯坦福大学）；Center for Long-term AI（长期人工智能中心）；University of Maryland, College Park（马里兰大学帕克分校）；University of California, Berkeley（加州大学伯克利分校）
Enhancing Cryptocurrency Sentiment Analysis with Multimodal Features
Department of Computer Science, The University of Auckland（计算机科学系，奥克兰大学）；School of Information Systems, Queensland University of Technology（信息系统学院，昆士兰技术大学）；Department of Economics, The University of Auckland（经济学系，奥克兰大学）
StanceFlip: A Comprehensive Multi-Dimensional Benchmark for Multimodal Conversational Stance Flipping Forecasting
College of Computer Science and Software Engineering, Shenzhen University（深圳大学计算机科学与软件学院）；Harbin Institute of Technology Shenzhen（哈尔滨工业大学（深圳））；City University of Macau（澳门城市大学）
