📄 Read the full paper here: doi.org/10.1080/0140...

A big thank you to everyone who supported this research. 🙏

This work was made possible by AUTNES data - explore it here: data.aussda.at/dataverse/au...

📊 ...and check out the interactive dashboard:
autnesdashboard.univie.ac.at:3838/autnes/

The Government Formation 🤝

🕒 After 155 days (the longest in Austrian history) ÖVP, SPÖ, and NEOS formed the first 3-party coalition since 1947
❌ FPÖ, despite being the largest party, was excluded from government
⚖️ The resulting coalition achieved high satisfaction among its supporters

The Results: 📊

🇦🇹 FPÖ becoming the largest party for the 1st time (rebound from 2019 losses)
💉 FPÖ performed better in areas with low COVID-19 vaccination rates, but limited role of pandemic
📉 Governing parties ÖVP and Greens suffered heavy losses
🌆 Urban-rural and demographic divides deepened

The Campaign: 📢

😴 Despite a turbulent lead-up, the 2024 campaign was surprisingly uneventful
♻️ Key voter issues included inflation, migration, social policies, and climate
🌊 A severe flood shifted focus to crisis management, boosting climate-related discourse

Background: 📜

🏝️ The 2019 "Ibiza affair" toppled the ÖVP-FPÖ coalition
🌍 Crises: COVID-19, low vaccination rates, and inflation from the Ukraine war dominated the term.
⚖️ Tensions: Leadership scandals and policy disputes strained the ÖVP-Green coalition but it lasted the full term

Key findings: 🧐

💡 Migration re-emerged as a key voter issue.
💡 FPÖ became the largest party for the first time but stayed out of government.
💡 After record-long talks, ÖVP, SPÖ & NEOS formed Austria's first 3-party coalition since WWII.
More detail in thread 👇🧵

In this episode, we talk about:
🇺🇸🇬🇧🇩🇪🇳🇱 how politicians express uncertainty
🔍 building dictionaries for latent concepts
🤯 the challenges of computational research on political language