Using @chesdata.bsky.social and @cses.bsky.social data, we demonstrate the value of our multidimensional approach and its ability to better predict mass partisanship

We introduce the *effective dimensionality* of a political space, and use it to analyze multidimensional polarization

✅ Simple, intuitive, and easily extended to any type or number of dimensions

Main point 🎯

-- Dimensions can collapse into 1D polarization (see PT)
-- Dimensions can be orthogonal and produce 2D polarization (see NL)

🚨 Reinforcing vs. cross-cutting polarization have different consequences for democracy!

We argue that left vs. right polarization is ill-suited to capture contemporary party conflict

European party systems are complex, fragmented, and structured by multiple ideological divides (e.g., economic + cultural)

Excited to share on 🟦 as well: My project on Multidimensional Polarization received a 4-year grant from the Swiss National Science Foundation 🎉

🚨 Please help me share the ad for the PhD position on the project!

jobs.uzh.ch/offene-stell...

polisky PSJMinfo