Publikationen
Aktuelle Publikationen
- Zurück zum Niveau vor der Pandemie – Konsolidierung von Vertrauen und Misstrauen. Mainzer Langzeitstudie Medienvertrauen 2023.
Quiring, O., Ziegele, M., Schultz, T., Fawzi, N., Jackob, N., Jakobs, I., Schemer, C., Stegmann, D. & Viehmann,C. (2024) - Technology Acceptance and Transparency Demands for Automated Detection of Toxic Language – Interviews with Moderators of Public Online Discussion Fora. (DOI)
Wilms, L. K., Stoll, A., Gerl, K., & Ziegele, M. (2024) - Meinungsforum Instagram? Eine Inhaltsanalyse von Beiträgen politischer Social-Media-Influencer:innen. (DOI)
Warnken, V. N. E. (2024) - Unpacking the determinants of outrage and recognition in public discourse: Insights across socio-cultural divides, political systems, and media types. (DOI)
Löb, C., Rinke, E. M., Weinmann, C., & Wessler, H. (2024) - Technology acceptance and transparency demands for toxic language classification – interviews with moderators of public online discussion fora. (DOI)
Wilms, L., Gerl, K., Stoll, A., & Ziegele, M. (2024) - Demokratische Linkages in der digitalen Transformation (DOI)
Beyer, H., Borucki, I., Eilders, C., Escher, T., Kelm, O., Marschall, S., Poguntke, T., Rosar, U., Schnabel, A., Zerback, T., Ziegele, M. (2024) - Which Perceived Opinion Climates Influence the Participation in Online Political Discussions? (DOI)
Kelm, O., Dohle, M., Friess, D., Vowe, G. & Ziegele, M. (2024) - The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions (DOI)
Wagner, S., Behrendt, M., Ziegele, M. & Harmeling, S. (2024) - SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions (DOI)
Wagner, S., Behrendt, M., Ziegele, M. & Harmeling, S. (2024) - AQuA--Combining Experts' and Non-Experts' Views To Assess Deliberation Quality in Online Discussions Using LLMs (DOI)
Behrendt, M., Wagner, S., Ziegele, M., Wilms, L., Stoll, A., Heinbach, D. & Harmeling, S. (2024) - The double-edged sword of online deliberation: How evidence-based user comments both decrease and increase discussion participation intentions on social media (DOI)
Schäfer, S., Müller, P. & Ziegele, M. (2024)