✨ Big picture: How we study social media shapes what we find.
👉 Read the full paper: www.rcommunicationr.org/index.php/rc...

#ClimateChange #Polarization #SocialMedia #Research

I reviewed 27 studies on how climate communication plays out on social media.
Key takeaways:
1️⃣ Findings are mixed; some show polarization, others don’t.
2️⃣ Affective polarization & digital trace studies detect more division.
3️⃣ Self-reports & ideological focus often find little to none.

📬 Questions?
Reach out to:
Dr. Tommaso Caselli – [email protected]
Dr. Marc Esteve del Valle – [email protected]
Admin: Marjolein Talsma – [email protected]

📌 Position Details:
🕒 Duration: 4 years
🎓 Teaching: 0.4 FTE (Years 2–4)
📅 Deadline: 2 September 2025
🏛️ Funded by the Faculty of Arts, University of Groningen

💡 As a PhD candidate, you will:
✅ Develop LLM tools for climate misinformation detection & correction
✅ Study the link between climate misinformation & online polarization
✅ Test argumentation-driven language models to counter false narratives

🧩 Research Areas:
💬 Computational Linguistics
🧠 Argumentation Theory
🌐 Social Network Analysis

🔎 Project Focus:
Use large language models (LLMs) to detect & correct climate misinformation on social media and reduce polarization.