Modeling ideological salience and framing in polarized online groups with graph neural networks and structured sparsity
The increasing polarization of online political discourse calls for computational tools that automatically detect and monitor ideological divides in social media. We introduce a minimally supervised method that leverages the network structure of online discussion forums, specifically Reddit, to dete...
Main Authors: | , , , |
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Format: | Conference item |
Language: | English |
Published: |
Association for Computational Linguistics
2022
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