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
Professional CV Academic CVPublications
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
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