Quantifying Political Partisanship for Cross-Platform Analyses
Research on political polarization on social media depends on the ability to reliably measure partisanship in user-generated content. However, existing approaches are typically tailored to platform-specific properties, such as structural affordances or linguistic conventions, which hurts generalizability across platforms. This limitation is increasingly consequential as the social media ecosystem fragments and fringe, alt-tech platforms emerge alongside mainstream ones. We propose a text-based, platform-portable methodology for measuring political partisanship in social media posts, anchored by an external news-credibility signal. Posts are embedded using a transformer-based sentence enco...
| Authors | Fathima Ameen, Christopher G. Healey |
|---|---|
| Primary category | cs.SI |
| Published | 23 July 2026 |
| Last updated at source | 23 July 2026 |
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