PoliticalNLP 2026
The 3rd Workshop on Natural Language Processing for Political Sciences
Palau de Congressos de Palma, Palma, Mallorca (Spain)
Co-located with LREC 2026 — 11–16 May 2026
Palau de Congressos de Palma, Palma, Mallorca (Spain)
Co-located with LREC 2026 — 11–16 May 2026
Submission is electronic via the Softconf START system:
đź”— https://softconf.com/lrec2026/PoliticalNLP2026/
PoliticalNLP 2026 is the third edition of the international workshop dedicated to the intersection of Natural Language Processing, political science, legal studies, media analysis, and computational social science.
Following successful editions at LREC 2022 (Marseille) and LREC-COLING 2024 (Torino), this year’s workshop focuses on:
Large Language Models (LLMs) and Generative AI now play a pivotal role in shaping public opinion, political narratives, and civic engagement. While they open exciting avenues for computational political analysis, they also raise critical challenges related to bias, cultural representation, explainability, misinformation, and democratic accountability.
PoliticalNLP 2026 brings together researchers and practitioners to explore these questions through responsible, interdisciplinary, and impactful NLP research.
We invite long and short papers that advance the study of political text, speech, and multimodal content through computational methods.
Explainable, fair, and trustworthy NLP for political and electoral data
Culturally-aware and culturally-adaptive LLMs for political discourse and cross-cultural reasoning
Bias, misinformation, propaganda, and ethical risks in LLM-based political analysis
NLP for migration studies, governance, policy analysis, and social forecasting
Multilingual, cross-cultural, and low-resource political NLP
Generative AI for deliberative democracy, policy modelling, and narrative analysis
Legal and regulatory frameworks for AI in governance
Annotation methodologies, datasets, and benchmarks for political communication research
Reproducibility, transparency, and responsible AI practices
Demonstrations of datasets, tools, and civic technology resources
Paper Submission deadline (short and long papers): 16 February 2026
Notification of acceptance: 11 March 2026
Camera-ready papers due: 30 March 2026
Early registration deadline: To be confirmed by LREC organisers
PoliticalNLP 2026 Workshop: 11–12 May or 16 May 2026 (final allocation pending)
All deadlines are 11:59 PM AoE (“anywhere on Earth”).
Submission is electronic via the Softconf START system:
đź”— https://softconf.com/lrec2026/PoliticalNLP2026/
Paper length: 4–8 pages (excluding references and optional Ethics Statement).
All submissions must use the LREC 2026 stylesheet, available in the Authors’ Kit:
đź”— https://lrec2026.info/authors-kit/
During submission, authors may optionally share datasets, models, or tools. These will be linked to the LRE Map, enhancing visibility and promoting community reuse.
All submissions undergo double-blind peer review, and each will receive three independent reviews.
Accepted papers will appear in the LREC 2026 Workshop Proceedings.
For further information, please contact Haithem Afli (Haithem.Afli@mtu.ie)
General Chair: Haithem Afli, ADAPT Centre, Munster Technological University, Ireland
Program Chairs:Â
Houda Bouamor, Carnegie Mellon University, Qatar
Wajdi Zaghouani — Northwestern University in Qatar
Sahar Ghannay, Université Paris-Saclay, CNRS, LISN, France
Cristina Blasi Casagran, Autonomous University of Barcelona, Spain
Shehenaz Hossain — Munster Technological University, Ireland
Bruno Andrade, Munster Technological University, Ireland
Lenka Dražanová, European University Institute, Italy
Georgios Stavropoulos, The Centre for Research and Technology, Greece
Andrea Iana, University of Mannheim, Germany
Valentin Barrieren, Telecom ParisTech, France
Mohammed Hasanuzzaman, Munster Technological University, Ireland
Patrick Paroubek, Paris-Saclay University, CNRS, LISN, France
Suman Adhya, Indian Association for the Cultivation of Science, India
Valentin Barriere, Centro Nacional de Inteligencia Artificial, Santiago, Chile
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