Workshop Paper
4-6 pages of main content, maximum 12 pages including references and appendices; must follow Springer LNCS/LNAI formatting; includes an abstract up to 200 words.
AI/CORE Unranked
JEN-AI 2026
The First Workshop on Generative AI and Computational Journalism
JEN-AI 2026 is the first workshop focused on generative AI and computational journalism, co-located with PAKDD 2026 in Hong Kong. It aims to explore how generative AI transforms news production and analysis, address risks like bias and misinformation, and foster interdisciplinary collaboration between NLP, data mining, journalism, and social science communities.
Key deadlines
Verified September 9, 2026Full paper
February 25, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
February 25, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Workshop Topics
Information Extraction for News UnderstandingGenerative AI for News ProductionNews Recommendation and PersonalizationComputational Media Bias StudiesBias Mitigation and Debiasing TechniquesDetection of Misinformation, Disinformation, and PropagandaEthical and Responsible Deployment of Generative AI in Journalism
Policies worth checking twice
- All papers must be submitted in English.
- Papers undergo double-blind review; author identities must be anonymized.
- Author list and order cannot be changed after submission.
- Papers must not be under review elsewhere or previously published in venues with formal proceedings.
- Papers on arXiv are allowed as long as they are not cited in the submission.
- Papers exceeding 12 pages or not using the Springer LNCS/LNAI template will be rejected without review.
- Dual submissions to other venues with formal publication during the PAKDD 2026 review period are prohibited.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026