Kirill Solovev
Researcher and Data Scientist at the IDea_Lab
About Me
I am a researcher at the IDea_Lab of the University of Graz, working on the VALPOP project. My work focuses on analyzing social media and public discourse, with a strong interest in hate speech, moralized language, and misinformation patterns.
Research Interests:
- Multimodal Research
- Computational Social Science
- Misinformation and Hate Speech
- NLP, LLMs, and Computer Vision
- Social Media Analysis
Publications
2025
References to unbiased sources increase the helpfulness of community fact-checks
Kirill Solovev, Nicolas Pröllochs
Scientific Reports 15 (1), 25749
2024
Community notes increase trust in fact-checking on social media
Chiara Drolsbach, Kirill Solovev, Nicolas Pröllochs
PNAS Nexus 3 (7), pgae217
Community Notes vs. Snoping: How the Crowd Selects Fact-Checking Targets on Social Media
Moritz Pilarski, Kirill Solovev, Nicolas Pröllochs
Proceedings of the ACM Web Conference ICWSM 2024, 18, 1262-1275
2023
Moralized language predicts hate speech on social media
Kirill Solovev, Nicolas Pröllochs
PNAS Nexus 2 (1), pgac281
2022
Moral emotions shape the virality of COVID-19 misinformation on social media
Kirill Solovev, Nicolas Pröllochs
Proceedings of the ACM Web Conference 2022, 3706-3717
Hate speech in the political discourse on social media: Disparities across parties, gender, and ethnicity
Kirill Solovev, Nicolas Pröllochs
Proceedings of the ACM Web Conference 2022, 3656-3661
2021
Integrating Floor Plans into Hedonic Models for Rent Price Appraisal
Kirill Solovev, Nicolas Pröllochs
Proceedings of the ACM Web Conference 2021, 2838-2847
Teaching Experience
2025–2026
University of Graz
Microdegree: KI Microdegree
2020–2025
University of Giessen
Course: Data Science For Management
Master Seminar: Text Mining
Master Seminar: Data Science
Bachelor Seminar: Data Science
Colloquium: Bachelor and Master Theses
2019–2020
University of Freiburg
Tutorial: Introduction to Data Science
Miscellaneous
2024
Poster Presenter
WebSci24, Stuttgart, Germany
Won the Best Poster award
2022
Poster Presenter
Machine Learning Summer School