About JEN-AI
AI has become central to modern news ecosystems, influencing how information is produced, curated, and consumed. Computational journalism has shown the importance of data-driven methods for large-scale media analysis and reporting support. News platforms increasingly rely on AI-based recommendation models, which improve personalization but may also reinforce filter bubbles and ideological polarization. Parallel research highlights persistent issues of selection and presentation bias in news coverage, while misinformation and fabricated narratives pose serious risks to public trust.
The emergence of generative AI and large language models further amplifies both opportunities and challenges: these models can assist with summarization, content creation, and bias mitigation, yet they may also introduce hallucinations, stylistic bias, or subtle distortions. This creates an urgent need to examine how generative AI should be responsibly used in journalistic workflows.
This workshop aims to (i) explore generative AI techniques for news production and analysis, (ii) examine risks related to media bias, misinformation, and trustworthiness, (iii) promote new datasets and evaluation frameworks for computational journalism, and (iv) foster collaboration across NLP, data mining, journalism, and social science communities.
Important Dates
- Paper Submission Deadline: February 22, 2026
- Paper Acceptance Notification: March 15, 2026
- Paper Camera-ready Deadline: March 29, 2026
*All deadlines are 23:59 Pacific Standard Time (PST)
Call for Papers
The workshop focuses on research that examines how generative AI and large language models are transforming the end-to-end news ecosystem.
The topics of the workshop include, but are not limited to:
- Information Extraction for News Understanding
- Generative AI for News Production
- News Recommendation and Personalization
- Computational Media Bias Studies
- Bias Mitigation and Debiasing Techniques
- Detection of Misinformation, Disinformation, and Propaganda
- Ethical and Responsible Deployment of Generative AI in Journalism
Paper Submission Information
Paper submission must be in English. All papers will be double-blind reviewed by the Program Committee based on technical quality, relevance to the workshop, originality, significance, and presentation quality. All paper submissions will be handled electronically. The author list and order cannot be changed after the paper is submitted. Papers that do not comply with the Submission Policy will be rejected without review. The workshop papers will not be included in the main conference proceedings but are available on the PAKDD2026 webpage. Springer Nature will collaborate to connect the workshops with journals or book series for the publication of workshop papers.
Each submitted paper must include an abstract up to 200 words. Each submitted paper can be of 4-6 pages of main content, but must be no longer than 12 pages (including references, appendices, etc.). Authors must use Springer LNCS/LNAI manuscript submission guidelines and formatting template (see below) for their submissions. All papers must be submitted electronically (see below).
Double-Blind Review
Paper submission must adhere to the double-blind review policy. Submissions must remove all details identifying the author(s) from the original manuscript, and the author(s) should refer to their prior work in the third person and include all relevant citations.
Dual Submissions and Preprints
We will follow the guidelines of PAKDD 2026 (Author's Kit) regarding dual submissions and pre-prints. PAKDD 2026 will not accept any paper that, at the time of submission, is under review for, has already been published in, or has already been accepted for publication in a journal or another venue with formally published proceedings. Authors are also required not to submit their papers to other venues with formal publication during the PAKDD 2026 review period. Papers on arXiv do not violate this rule as long as the submitted paper does not cite them.
Formatting Template
Paper formatting template is available here.
All the manuscripts must be prepared and submitted in accordance with the above format. Usage of other formats may lead to disqualification of paper for the conference.
Submission Portal
Authors are required to submit their papers at this OpenReview platform.
Organizers
- Dr. Alapan Kuila, IIITDM Kurnool, India
- Dr. Prashant Kapil, Bennett University, India
- Joy Mahapatra, ISI Kolkata, India
- Dr. Tapas Nayak, TCS Research, India
Program Committee
- Dr. Rupayan Chakraborty, TCS Research, India
- Dr. Chayan Sarkar, TCS Research, India
- Dr. Navonil Majumder, Singapore University of Technology and Design, Singapore
- Dr. Somnath Banerjee, University of Tartu, Estonia
- Dr. Abhik Jana, IIT Bhubaneswar, India
Contact
If you have any questions, please feel free to contact us at jen-ai@googlegroups.com or alapan.cse@gmail.com.