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UID:0-364@lisn.upsaclay.fr
DTSTART;TZID=Europe/Paris:20260511T000000
DTEND;TZID=Europe/Paris:20260516T000000
DTSTAMP:20260213T121902Z
URL:https://www.lisn.upsaclay.fr/evenements/politicalnlp-2026/
SUMMARY:PoliticalNLP 2026
DESCRIPTION:PoliticalNLP 2026 is the third edition of the international wor
 kshop dedicated to the intersection of Natural Language Processing\, polit
 ical science\, legal studies\, media analysis\, and computational social s
 cience.\nFollowing successful editions at LREC 2022 (Marseille) and LREC-C
 OLING 2024 (Torino)\, this year’s workshop focuses on:\nLarge Language M
 odels (LLMs) and Generative AI now play a pivotal role in shaping public o
 pinion\, political narratives\, and civic engagement. While they open exci
 ting avenues for computational political analysis\, they also raise critic
 al challenges related to bias\, cultural representation\, explainability\,
  misinformation\, and democratic accountability.\nPoliticalNLP 2026 brings
  together researchers and practitioners to explore these questions through
  responsible\, interdisciplinary\, and impactful NLP research.\nImportant 
 Dates\nPaper Submission deadline (short and long papers): 16 February 2026
 \nNotification of acceptance: 11 March 2026\nCamera-ready papers due: 30 M
 arch 2026\nEarly registration deadline: To be confirmed by LREC organisers
 \nPoliticalNLP 2026 Workshop: 11–12 May or 16 May 2026 (final allocation
  pending)\nAll deadlines are 11:59 PM AoE (“anywhere on Earth”).\nSubm
 ission\nSubmission is electronic via the Softconf START system: 🔗 https
 ://softconf.com/lrec2026/PoliticalNLP2026/\nTopics of Interest include (bu
 t are not limited to):\nExplainable\, fair\, and trustworthy NLP for polit
 ical and electoral data\nCulturally-aware and culturally-adaptive LLMs for
  political discourse and cross-cultural reasoning\nBias\, misinformation\,
  propaganda\, and ethical risks in LLM-based political analysis\nNLP for m
 igration studies\, governance\, policy analysis\, and social forecasting\n
 Multilingual\, cross-cultural\, and low-resource political NLP\nGenerative
  AI for deliberative democracy\, policy modelling\, and narrative analysis
 \nLegal and regulatory frameworks for AI in governance\nAnnotation methodo
 logies\, datasets\, and benchmarks for political communication research\nR
 eproducibility\, transparency\, and responsible AI practices\nDemonstratio
 ns of datasets\, tools\, and civic technology resources\nWorkshop Organize
 rs                                    
    \nGeneral Chair: Haithem Afli\, ADAPT Centre\, Munster Technological
  University\, Ireland\nProgram Chairs: \nHouda Bouamor\, Carnegie Mellon 
 University\, Qatar\nWajdi Zaghouani — Northwestern University in Qatar\n
 Sahar Ghannay\, Université Paris-Saclay\, CNRS\, LISN\, France\nCristina 
 Blasi Casagran\, Autonomous University of Barcelona\, Spain\nShehenaz Hoss
 ain — Munster Technological University\, Ireland\nProgram Committee\nBru
 no Andrade\, Munster Technological University\, Ireland\nLenka Dražanová
 \, European University Institute\, Italy\nGeorgios Stavropoulos\, The Cent
 re for Research and Technology\, Greece\nAndrea Iana\, University of Mannh
 eim\, Germany\nValentin Barrieren\, Telecom ParisTech\, France\nMohammed H
 asanuzzaman\, Munster Technological University\, Ireland\nPatrick Paroubek
 \, Paris-Saclay University\, CNRS\, LISN\, France\nSuman Adhya\, Indian As
 sociation for the Cultivation of Science\, India\nValentin Barriere\, Cent
 ro Nacional de Inteligencia Artificial\, Santiago\, Chile\nDétails sur le
  site du workshop
CATEGORIES:Conférence,IA,STL
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