Now in its sixth edition, the ROMCIR Workshop concerns providing information access systems to mitigate the human-generated or AI-generated information disorder phenomenon concerning distinct domains. By "information disorder", we mean all forms of communication pollution, from misinformation made out of ignorance, automatically built based on biased content, to intentional sharing of false content (generated both manually and automatically).

In this context, all those approaches that aim to assess the factual accuracy (or other reliability-related relevance dimensions) of information circulating online, and particularly on social media, find their place. This topic is very broad, as it concerns different contents (e.g., Web pages, news, reviews, medical information, online accounts, etc.), different Web and social media platforms (e.g., microblogging platforms, social networking services, social question-answering systems, etc.), different purposes (e.g., identifying false information, accessing information based on its truthfulness, retrieving truthful information, hallucination detection, etc.), and different open issues related in particular to AI (e.g., explainability of search results, assessment of the truthfulness of automatically generated content, generative models to support IRSs, etc.).

Submission Guidelines

The Workshop solicits the sending of two types of contributions relevant to the Workshop and suitable to generate discussion:

• Original, unpublished contributions (pre-prints submitted to ArXiv are eligible) that will be included in an open-access post-proceedings volume of CEUR Workshop Proceedings (http://ceur-ws.org/), indexed by both Scopus and DBLP.
• Already published or preliminary work that will not be included in the post-proceedings volume.

All submissions will undergo a SINGLE-BLIND peer review by the Program Committee.

Submissions must be:

• Regular papers: between 10 and 14 pages long
• Short papers: Between 5 and 9 pages long

We recommend that authors use the new CEUR-ART style for writing papers to be published.

• An Overleaf page for LaTeX users is available at: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw
• An offline version with the style files, including DOCX template files, is available at: 
• http://ceur-ws.org/Vol-XXX/CEURART.zip
• The paper must contain the name of the conference “ROMCIR 2026: The 6th Workshop on Reducing Online Misinformation through Credible Information Retrieval (held as part of ECIR 2026: The 48th European Conference on Information Retrieval). April 2, 2026. Delft, The Netherlands.”
• The title of the paper should follow the regular capitalization of English (e.g., Example of a Title of a Paper Correctly Capitalized)
• Please, choose the one-column template
• According to CEUR-WS policy, the papers will be published under a CC BY 4.0 license: https://creativecommons.org/licenses/by/4.0/deed.en

If the paper is accepted, authors will be asked to sign (at pen) an author agreement with CEUR:

• In case you do not employ Third-Party Material (TPM) in your draft, sign the document at:

https://ceur-ws.org/ceur-author-agreement-ccby-ntp.pdf?ver=2024-06-04

• If you do use TPM, the agreement can be found at:

https://ceur-ws.org/ceur-author-agreement-ccby-tp.pdf?ver=2024-06-04

For further information: https://ceur-ws.org/HOWTOSUBMIT.html

List of Topics

The themes of interest include, but are not limited to, the following:

• Access to and retrieval of reliable information
• Bot/spam/troll detection
• Computational fact-checking
• Credibility assessment of online documents
• Crowdsourcing for information truthfulness assessment
• Disinformation/misinformation/bias detection
• Evaluation strategies to assess information truthfulness
• Generative models and information truthfulness assessment
• Human-in-the-loop misinformation detection
• Information polarization in online communities, echo chambers
• Propaganda identification/analysis
• Query reformulation strategies for truthful IR
• Search patterns and simulation strategies for information verification
• Security, privacy, and information truthfulness
• Societal reaction to misinformation
• Stance detection
• Trust and reputation

Data-driven approaches, supported by publicly available datasets, are more than welcome

Organizing Committee

• Marcos Fernandez-Pichel, Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), University of Santiago de Compostela, Spain
• Marinella Petrocchi, CNR-IIT, Pisa, Italy
• Kevin Roitero, University of Udine, Italy
• Marco Viviani, University of Milano-Bicocca, Milan, Italy

Venue

The conference will be held in conjunction with ECIR 2026, in Delft, The Netherlands

Contact

All questions about submissions should be emailed to marco.viviani@unimib.it