Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks
Z Zhou, E Elejalde - EPJ Data Science, 2024 - epjds.epj.org
Social Media (SM) has become a popular medium for individuals to share their opinions on
various topics, including politics, social issues, and daily affairs. During controversial events …
various topics, including politics, social issues, and daily affairs. During controversial events …
STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network
The rise of social media platforms has led to an increase in polarised online discussions,
especially on political and socio-cultural topics such as elections and climate change. We …
especially on political and socio-cultural topics such as elections and climate change. We …
Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs
The paper advances belief representation learning in polarized networks–the mapping of
social beliefs espoused by users and posts in a polarized network into a disentangled latent …
social beliefs espoused by users and posts in a polarized network into a disentangled latent …
STEntConv: Predicting Disagreement between Reddit Users with Stance Detection and a Signed Graph Convolutional Network
The rise of social media platforms has led to an increase in polarised online discussions,
especially on political and socio-cultural topics such as elections and climate change. We …
especially on political and socio-cultural topics such as elections and climate change. We …