Polarization in public opinion: Combining social surveys and big data analyses of Twitter (SUF Edition)

Full edition for scientific use. Our research aims to measure polarization in public opinion, combining two state-of-the-art approaches in measuring opinion - survey research and big data analytics of social media. We focus on the topic of polarization of opinions on COVID-19 and climate change and identify if and how polarization - a shift towards more extreme positions - occurs within both sources, if and how opinions and respondents differ between sources, and whether the opinions in the two sources are aligned.供科研使用的完整版数据集。本研究旨在量化公众舆论极化现象，融合当前舆论测量领域的两种前沿方法——调查研究与社交媒体大数据分析。本研究聚焦新冠疫情（COVID-19）与气候变化两大议题的舆论极化问题，旨在识别三类核心问题：两类数据源内部是否存在、以及如何出现舆论极化（即向极端立场偏移的现象）；两类数据源间的舆论与受访者群体存在何种差异；以及两类数据源中的舆论是否保持一致。