Large Language Models and Generative AI: Applications in Political Science, Public Policy, and Law

The workshop is organized by the Faculty of Social and Economic Sciences at Comenius University Bratislava in cooperation with the Research Committee on Concepts & Methods (RC01) and supported by IPSA's Committee on Research and Training.

Papers should address one or more of the following issues:

Policy Frame Analysis and Media Narratives Using LLMs: Submissions investigating how LLMs can analyze and interpret policy frames and media narratives are particularly encouraged. Topics may include identifying and assessing framing, emphasis, biases, and omissions within media content, institutional communications, and political discourse.

Advancements in LLMs for Social Science Applications: Contributions highlighting innovative technical developments in LLMs are welcome, including novel methods for synthetic data generation, model pre-training, fine-tuning, or evaluation. These advancements should focus on enhancing methodologies in social science research.

Effective Utilization of Existing LLMs: We invite papers showcasing the optimal use of current open LLMs in research, particularly for classification tasks. Submissions should explore their practical applications, benefits, challenges, and limitations, including potential applications in media analysis and social science research.

Performance Comparisons Between Open and Proprietary Models: Papers comparing the capabilities of open fine-tuned LLMs and proprietary models (e.g., GPT-4) are encouraged. Particular emphasis should be placed on validation, replicability, and transparency, with potential applications in media studies and beyond.

Language-Specific and Multilingual Applications: Research examining the application of LLMs across different languages—whether through original language content, translations, or multilingual datasets—is particularly interesting. This includes their role in analyzing media content across diverse linguistic and cultural contexts.

Legal and Ethical Considerations in Applying LLMs and Generative AI: We seek papers addressing the legal and ethical dimensions of applying open LLMs and generative AI. Topics may include data privacy, algorithmic bias, transparency, accountability, and responsible AI usage in social science research, especially in media analysis.

Please submit your proposal here. 

Accepted papers will be allocated a 15-minute presentation slot, followed by a Q&A session. 

Submission deadline: 31 January 2026.

The workshop has no registration fee. 

Presentation Format: Each accepted proposal will be allocated a 15-20 minute presentation slot, followed by a discussion.

Audience: The workshop targets all career levels.

For additional information, please contact Dr. Jakub Szabó at jakub.szabo@uniba.sk .