Enhancing stance classification on social media using quantified moral foundations

• Main Authors: ZHANG, Hong, NGUYEN, Quoc-Nam, BHATTACHARYA, Prasanta, GAO, Wei, WONG, Liang Ze, LOH, Brandon Siyuan, SIMONS, Joseph J. P., AN, Jisun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/9880; https://ink.library.smu.edu.sg/context/sis_research/article/10880/viewcontent/2310.09848v3.pdf
• Institution: Singapore Management University

This study enhances stance detection on social media by incorporating deeper psychological attributes, specifically individuals’ moral foundations. These theoretically-derived dimensions aim to provide an interpretable profile of an individual’s moral concerns which, in recent work, has been linked...