Linking Scalar-Intensity Language to Structural Polarization with Validated Signed-Network Measures
Polarization in online communities is often studied through either language or interaction structure, but the two views are rarely connected within a unified framework. Prior work has linked them by constructing interaction graphs from human judgements of agreement and disagreement, leaving a gap between language as observed text and structure as an engineered representation of that text. We address this gap with a language-grounded signed-network pipeline that derives signed relations directly from conversational exchanges and links window-level language patterns to structural polarization over time. Before examining this relationship, we compare spectral and frustration-based polarizati...
| Authors | Zhijin Guo, Li Zhang, Tyler Bonnet et al. |
|---|---|
| Primary category | cs.SI |
| Published | 12 May 2026 |
| Last updated at source | 4 October 2026 |
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