对抗政治极化：一种用于追踪社交媒体上不断演变的政治意识形态的统一框架
Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media
浏览论文内容
中文总结 AI 辅助
针对社交媒体政治意识形态追踪的挑战，提出TSN4PI框架，含PIDN和PIPN模块，发布两个大规模数据集，经多平台案例研究验证其有效性，助力政治极化研究
中文摘要 AI 辅助
社交媒体的快速发展极大地影响了政治话语，凸显出理解个体政治意识形态及其时间动态的必要性。该任务面临诸多挑战，包括数据稀缺、大量非政治内容、成本高昂且易产生偏差的人工标注，以及难以对未来意识形态倾向进行建模。为解决这些问题，我们提出TSN4PI，一种用于追踪社交媒体上政治意识形态演变的统一框架。它包含两个核心模块：PIDN采用带有风格迁移和无监督领域自适应的大语言模型，以实现稳健的意识形态检测，并从嘈杂的跨域数据中过滤无关内容；PIPN使用时间图神经网络预测未来的意识形态转变，能够对意识形态的存在、强度和演变进行全面分析。我们发布了两个用于非商业研究的大规模数据集，以推动后续工作。在多个平台（X和Truth Social）上进行的大量案例研究验证了TSN4PI的有效性，并为政治极化和在线意识形态的演变提供了实证见解。我们的发现提供了细致入微的视角，推动了该领域的方法学发展和实证理解。
英文摘要
The rapid growth of social media has greatly influenced political discourse, highlighting the need to understand individual political ideologies and their temporal dynamics. This task faces challenges such as data scarcity, abundant non-political content, costly and bias-prone manual annotation, and difficulty in modeling future ideological inclinations. To address these issues, we propose TSN4PI, a unified framework for tracking the evolution of political ideologies on social media. It includes two core modules. The PIDN uses large language models with style transfer and unsupervised domain adaptation to enable robust ideology detection and filter irrelevant content from noisy, cross-domain data. The PIPN employs temporal graph neural networks to predict future ideological shifts, enabling comprehensive analysis of ideology presence, intensity, and evolution. We release two large-scale datasets for noncommercial research use to facilitate further work. Extensive case studies on multiple platforms (X and Truth Social) validate the effectiveness of TSN4PI and provide empirical insights into political polarization and the evolution of online ideologies. Our findings offer a nuanced perspective, advancing both methodological development and empirical understanding in this field.
发表机构
- The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））
- University of Science and Technology of China（中国科学技术大学）
- The Hong Kong University of Science and Technology（香港科技大学）
机构由 AI 辅助整理，请以论文原文为准。
