Predicting User's Political Party using Ideological Stances

• Main Authors: GOTTOPATI, Swapna, QIU, Minghui, YANG, Liu, ZHU, Feida, JIANG, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Collaborative Filtering; Ideological Stances; Memory-based CF; Model-based CF; Probabilistic Matrix Factorization; Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Influence and Political Communication; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/2097; https://ink.library.smu.edu.sg/context/sis_research/article/3096/viewcontent/SOCINFO_13_45.pdf
• Institution: Singapore Management University

Predicting users political party in social media has important impacts on many real world applications such as targeted advertising, recommendation and personalization. Several political research studies on it indicate that political parties’ ideological beliefs on sociopolitical issues may influenc...