Workshop on Web & Graphs, Responsible Intelligence, and Social Media (WEB&GRAPH 2026)
Co-located with the ACM Web Search and Data Mining (WSDM 2026), on February 26, 2026 (Boise, Idaho, USA)
Organisers
Dr. Matteo Spezialetti
Andrea D'Angelo
Francesca Ciccarelli
Giuseppe Costanzo
Daniele Fossemò
Filippo Mignosi
⚠️ Following several authors requests, we decided to extend the submission deadline from November 13 → November 27, 2025.
Table of contents
- Aims and Scope
- Important Dates
- Topics of Interests
- Submission and Publication
- Registration and Presentation Policy
- Organizers Contacts
Aims and Scope
The Web&Graph aims to bring together researchers and practitioners from web search, data mining, artificial intelligence, and social sciences to discuss algorithmic, theoretical, and methodological advances for dynamic, reliable, and human-aligned graph analytics.
The workshop will focus on the algorithmic foundations and the applied aspects of graph reasoning for evolving networks, misinformation detection, provenance tracking, and human–AI collaboration.
Important Dates
- Paper Submissions:
November 13-> November 27, 2025. - Notifications: December 18, 2025
- Workshop: February 26, 2026
All deadlines are 11:59 pm AoE.
Topics of Interests
We particularly welcome works that provide innovative and interpretable solutions or address real-world challenges by combining graphs, AI, and web algorithms. The expected, but not exhaustive, contributions are:
- Theoretical Topics
- Design and analysis of graph algorithms for web and social networks
- Optimization and approximation on large and dynamic graphs
- Diffusion modeling, and algorithmic fairness
- Graph compression, sparsification, and structure-aware pruning
- Robust, explainable, and provable graph representations
- Technical and Applied Topics
- Graph neural networks and graph transformers for web data
- Graph-based trust, credibility, and misinformation detection
- Influence propagation and provenance tracking for social domains
- Integration of LLMs with structured graph representations
- Human-in-the-loop knowledge-graph curation and correction
- Deep learning on dynamic and streaming graph data
- Social network analytics and algorithmic transparency
- Optimization frameworks for scalable and interpretable graph learning
Submission and Publication
We invite authors to submit unpublished, original papers written in English. Submitted papers should not have been previously published or accepted for publication in substantially similar form in any peer-reviewed venue, such as journals, conferences, or workshops. Manuscripts must be submitted in PDF according to the new ACM format published in ACM guidelines (use documentclass [sigconf,anonymous,review]{acmart}).
We will consider two different submission types:
- Full papers (up to 9 pages + unlimited references) should clearly describe the state of the art and state the proposal's contribution in the application domain, even if presenting preliminary results. In particular, research papers should describe the methodology in detail, experiments should be repeatable, and a comparison with the existing approaches in the literature should be made.
- Short and position papers (up to 4 pages all included) should introduce new points of view on the workshop topics or summarize a group's experience in the field.
Submissions should not exceed the indicated pages, including any diagrams and references. All submissions will undergo a double-blind review process and be reviewed by at least three reviewers based on relevance to the workshop, novelty/originality, significance, technical quality and correctness, quality and clarity of presentation, quality of references, and reproducibility. Submitted papers will be rejected without review if they are not correctly anonymized, do not comply with the template, or do not follow the above guidelines.
Generative AI Usage Policy. Generative AI models, including Chat-GPT, BARD, LLaMA, or similar LLMs, do not satisfy the criteria for authorship of papers accepted in the workshop. If authors use an LLM in any part of the paper-writing process, they assume full responsibility for all content, including checking for plagiarism and correctness of all text.
Proceedings This year, the WSDM organization will publish a Companion Proceedings Volume that includes the workshop papers.
Submission website:
Papers must be submitted through the Easychair system for this conference . Feel free to contact us should you encounter any issue.
Registration and Presentation Policy
Submitted manuscripts must adhere to the ACM authorship policy. In particular, (i) each author must be the creator or originator of an idea in the work; (ii) each author must make substantial contributions to the work; and (iii) each author must be accountable for the work that was done and its presentation in a publication. The policy was recently updated to govern the use of generative AI tools in authoring papers.
At least one author of each accepted paper must register for the conference (either 3-day or 5-day). A paper fee may be required. Please refer to the Registration policy of WSDM2026 for details.
Organizers Contacts
For general inquiries about the workshop, please email matteo.spezialetti@univaq.it, andrea.dangelo6@graduate.univaq.it, francesca.ciccarelli@graduate.univaq.it, giuseppe.costanzo@graduate.univaq.it, daniele.fossemo@graduate.univaq.it