Chris Liebold
Our team members Aliya Andrich and Anke Stoll presented results from four different research projects on bias in artificial intelligence (AI) systems in the contexts of political news coverage and social media debate at The Sixth International Interdisciplinary Conference on the
Quantitative and Computational Analysis of Textual Data (COMPTEXT) at the Vrije Universiteit (VU), Amsterdam, 2-4 May 2024.
Presentations:
Andrich, A. (2024) Beyond Neutrality: A Longitudinal Analysis of Gender and Party Dynamics in the Tone of US Political Media Reporting. 6th International Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT), Amsterdam, Netherlands.
Stoll, A. (2024). Subjectivity vs. Reliability - New Perspectives from Machine Learning Research. 6th International Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT), Amsterdam, Netherlands.
Stoll, AWilms, L., & Ziegele, M. (2024).Detection of Deliberation - Evaluating a Costume BERT Model for German Online Discussions. 6th International Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT), Amsterdam, Netherlands.
Garcia Corral, P., Green, A., Meyer, H., Reuver, M., Stoll, A., & Yan, X. (2024). A Few Hypocrites: Few Shot Learning for Detecting Implicit Hypocrisy Accusations in Sustainability and Climate Debates. 6th International Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT), Amsterdam, Netherlands.
The abstracts of the respective presentations with further details can be found here: https://comptext24.vercel.app/#sessions