---
title: "Workshop on Natural Language Processing for Political Sciences"
description: "All 30 papers of Workshop on Natural Language Processing for Political Sciences 2026, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/politicalnlp/2026/papers/"
---
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# Workshop on Natural Language Processing for Political Sciences 2026: all accepted papers

30 papers · the most cited first · [← Workshop on Natural Language Processing for Political Sciences 2026](https://md.research.elamur.ai/free/en/venues/politicalnlp/2026/)

1. **[A Vocabulary Analysis of News Articles in Relation to the Political Orientation of Their Source and Their Thematic ↗](https://aclanthology.org/2026.politicalnlp-1.12/)**Laurà \ensuremath\ddotne Cave, Gaël Lejeune
2. **[An Examination of the Party Leanings of Large Language Models ↗](https://aclanthology.org/2026.politicalnlp-1.21/)**Lars Bungum, Charles Huang, Jari Bakken
3. **[Analysing Calls to Order in German Parliamentary Debates](https://md.research.elamur.ai/free/en/papers/smirnova-2026-analysing-calls-order-german-parliamentary/)**Nina Smirnova, Daniel Dan, Philipp Mayr*our summary*
4. **[Analyzing Political Stances on Twitter/X in the Lead-up to the 2024 U.S. Election ↗](https://aclanthology.org/2026.politicalnlp-1.6/)**Hazem Ibrahim, Farhan Kamrul Khan, Yasir Zaki et al.
5. **[Attitude Identification through Parameter-Efficient Fine-Tuning ↗](https://aclanthology.org/2026.politicalnlp-1.22/)**Mariia Anisimova, Gabriella Lapesa, Sarka Zikanova
6. **[Automated Analysis of Global AI Safety Initiatives: A Taxonomy-Driven LLM Approach](https://md.research.elamur.ai/free/en/papers/semitsu-2026-automated-analysis-global-ai-safety/)**Takayuki Semitsu, Naoto Kiribuchi, Kengo Zenitani*our summary*
7. **[Beyond Sentiment: Comparing Traditional NLP and LLM-Based Multi-Dimensional Analysis for Political News Evaluation ↗](https://aclanthology.org/2026.politicalnlp-1.17/)**Maryam Fooladi, Federico Bottino
8. **[Can Large Language Models Facilitate Qualitative Political Narrative Analysis?](https://md.research.elamur.ai/free/en/papers/stephens-2026-can-large-language-models-facilitate/)**Luke Stephens, Clare Llewellyn, Lauren Rogers et al.*our summary*
9. **[Characterization of User Engagement in Electronic News Media: A Case Study for India ↗](https://aclanthology.org/2026.politicalnlp-1.5/)**Abhishek Kumar, Abhik Jana, Debi Prosad Dogra
10. **[Cultural Adaptation in Large Language Models for Political Discourse](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-cultural-adaptation-large-language-models/)**Wajdi Zaghouani*our summary*
11. **[Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection](https://md.research.elamur.ai/free/en/papers/pastorino-2026-decoding-news-narratives-critical-analysis/)**Valeria Pastorino, Jasivan Alex Sivakumar, Nafise Sadat Moosavi*our summary*
12. **[Do LLMs Transfer Political Framing across Languages? A Cross-Lingual Analysis of LLM-Generated Discourse](https://md.research.elamur.ai/free/en/papers/awwad-2026-do-llms-transfer-political-framing/)**Nooredeen Awwad, Ebtihal Ismail Enfes, Kolawole John Adebayo*our summary*
13. **[Evaluating the Abilities of LLMs and SpeechLMs in Discovering Implicit Contents of Italian Political Speeches ↗](https://aclanthology.org/2026.politicalnlp-1.18/)**Lorenzo Gregori, Walter Paci, Alessandro Panunzi
14. **[Exploring Two Decades of Parliamentary Speeches on the Use of Narratives](https://md.research.elamur.ai/free/en/papers/wiegmann-2026-exploring-two-decades-parliamentary-speeches/)**Matti Wiegmann, Jürgen Neyer, Benno Stein*our summary*
15. **[From Cairo to Cape Town: How African Twitter Shapes the Global Palestine-Israel Narrative ↗](https://aclanthology.org/2026.politicalnlp-1.3/)**Mahmoud Fawzi, Houda Elmimouni, Walid Magdy
16. **[From News Streams to Narrative Intelligence Briefs: LLM-Assisted Political Discourse Analysis in the Hungarian 2026 Pre-Election Context](https://md.research.elamur.ai/free/en/papers/loginova-2026-news-streams-narrative-intelligence-briefs/)**Ekaterina Loginova, Maksim Ermakov, Stephan Khramov*our summary*
17. **[Giving Voice to the Constitution: Low-Resource Text-to-Speech for Quechua and Spanish Using a Bilingual Legal Corpus](https://md.research.elamur.ai/free/en/papers/ortega-2026-giving-voice-constitution-low-resource/)**John E. Ortega, Rodolfo Joel Zevallos, Fabrício Carraro*our summary*
18. **[Hate Speech and Hate Crime: A Cross-Disciplinary Analysis of Xenophobia in Greece ↗](https://aclanthology.org/2026.politicalnlp-1.15/)**Maria Gavriilidou, Vasiliki Georgiadou, Lamprini Rori et al.
19. **[How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment ↗](https://aclanthology.org/2026.politicalnlp-1.20/)**Kokil Jaidka, Saifuddin Ahmed
20. **[Identifying Political Bias in Arabic News Articles](https://md.research.elamur.ai/free/en/papers/chaabane-2026-identifying-political-bias-arabic-news/)**Saoussen Ben Chaabane, Omar Trigui, Maher Jaoua*our summary*
21. **[Large Language Models Unpack Complex Political Opinions through Target-Stance Extraction](https://md.research.elamur.ai/free/en/papers/togay-2026-large-language-models-unpack-complex/)**Ozgur Togay, Javier Garcia-Bernardo, Florian Kunneman et al.*our summary*
22. **[Mobilize, Inform, Interact: Classifying Political Calls-to-Action Types on Instagram ↗](https://aclanthology.org/2026.politicalnlp-1.14/)**Michael Achmann-Denkler, Clara Helmig, Jakob Fehle et al.
23. **[Multimodal Analysis of State-Funded News Coverage of the Israel–Hamas War on YouTube Shorts](https://md.research.elamur.ai/free/en/papers/miehling-2026-multimodal-analysis-state-funded-news/)**Daniel Miehling, Sandra Kübler*our summary*
24. **[Navigating Global AI Regulation: A Multi-Jurisdictional Retrieval-Augmented Generation System ↗](https://aclanthology.org/2026.politicalnlp-1.16/)**Courtney Ford, Ojas Rane, Susan Leavy
25. **[Operationalising the “Right to Be Forgotten” in LLMs: A Lightweight Sequential Unlearning Framework for Privacy-Aligned Deployment in Politically Sensitive Environments ↗](https://aclanthology.org/2026.politicalnlp-1.9/)**Esen Kurt, Haithem Afli
26. **[PReSS: An Automated Black-Box Framework for Evaluating Political Stance Stability in LLMs ↗](https://aclanthology.org/2026.politicalnlp-1.26/)**Shariar Kabir, Yue Dong, Kevin Esterling
27. **[Posts Talk Policy, Stories Don't: Policy-Issue Detection on Instagram with Fine-Tuned Transformers and Prompted LLMs ↗](https://aclanthology.org/2026.politicalnlp-1.13/)**Michael Achmann-Denkler, Mario Haim, Christian Wolff
28. **[Reproducibility under Threat: Proposing a Framework for Reliable LLM-Research in Psychology and Computational Social Science ↗](https://aclanthology.org/2026.politicalnlp-1.19/)**Kevin Dirk Kiy, Alexander Porshnev, Dounia Lakhzoum et al.
29. **[Supercharging Agenda Setting Research: The ParlaCAP Dataset of 28 European Parliaments and a Scalable Multilingual LLM-Based Classification](https://md.research.elamur.ai/free/en/papers/pungersek-2026-supercharging-agenda-setting-research-parlacap/)**Taja Kuzman Pungeršek, Peter Rupnik, Daniela Širinić et al.*our summary*
30. **[When Neutral Turns Negative: Cross-Domain Failure Modes in Hinglish Political Sentiment Analysis ↗](https://aclanthology.org/2026.politicalnlp-1.24/)**Rahul Chennuru, Kolawole John Adebayo
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