36.3773, Confs: Information Disorder Workshop at LREC 2026 (Spain)

Tue Dec 9 13:05:03 UTC 2025

LINGUIST List: Vol-36-3773. Tue Dec 09 2025. ISSN: 1069 - 4875.

Subject: 36.3773, Confs: Information Disorder Workshop at LREC 2026 (Spain)

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Date: 08-Dec-2025
From: Simona Frenda [s.frenda at hw.ac.uk]
Subject: Information Disorder Workshop at LREC 2026

Information Disorder Workshop at LREC 2026
Short Title: InDor

Location: Palma de Mallorca, Spain
Contact: Simona Frenda
Contact Email: s.frenda at hw.ac.uk
Meeting URL: https://information-disorder-workshop.github.io/

Linguistic Field(s): Computational Linguistics

Submission Deadline: 17-Feb-2026

Online disinformation is a pressing challenge for our societies. Its
role in influencing elections (Allcott & Gentzkow, 2017) and behaviors
(van der Linden et al., 2020) has gathered the attention of different
societal actors aimed at mitigating its negative impact.
The Natural Language Processing (NLP) community is contributing to
fighting this phenomenon with a growing number of datasets (Hussain et
al., 2025) and technologies (VeraAI, AskVera, Bellingcat) (Lupi et
al., 2023; Wuhrl et al., 2023) for the automatic recognition of fake
news. However, this field of research suffers from a lack of a common
theoretical framework, which causes a fragmentation of approaches. The
increasing attention of the NLP community to human-label variation
(Plank, 2022) raises additional challenges regarding the
cross-cultural and pragmatic implications that determine the spreading
of disinformation (Dabbous et al., 2022).
The goal of the Information Disorder (InDor) workshop is to promote an
interdisciplinary and intersectorial discussion towards the
development of NLP research on disinformation.
Information Disorder is a recent framework introduced by Wardle and
Derakhshan (2017) to organize theories, definitions, and approaches
for the study of disinformation.
The framework is characterized by two main pillars: 1) acknowledging
the need to categorize fake news under a finer-grained taxonomy of
disorders (mis-information, dis-information, and mal-information); 2)
exploring the role of the contextual factors that determine the
spreading of fake news.
InDor aims to
- Define a common theoretical ground for the research on
disinformation in NLP and beyond
- Discuss the cultural factors determining subjectivity to
disinformation
- Promote interdisciplinarity in the development of datasets and
models
- Discuss the impact of real-world applications to contrast
disinformation
The InDor workshop (half-day duration) will be co-located with the
fifteenth biennial Language Resources and Evaluation Conference (LREC)
held at the Palau de Congressos de Palma in Palma de Mallorca, Spain,
on 11-16 May 2026.
Submissions:
When submitting a paper from the START page, authors will be asked to
provide essential information about resources (in a broad sense, i.e.
also technologies, standards, evaluation kits, etc.) that have been
used for the work described in the paper or are a new result of your
research. Moreover, ELRA encourages all LREC authors to share the
described LRs (data, tools, services, etc.) to enable their reuse and
replicability of experiments (including evaluation ones).  In
addition, authors will be required to adhere to ethical research
policies on AI and may include an ethics statement in their papers.
The papers should be submitted as a PDF document, conforming to the
formatting guidelines provided in the call for papers of the LREC
conference. Templates are provided here
https://lrec2026.info/authors-kit/
We accept three types of submissions:
- Regular research papers;
- Non-archival submissions: like research papers, but will not be
included in the proceedings;
- (Non-archival) research communications: 1-page abstracts summarising
relevant research published elsewhere.
InDor will also accept submissions that have been rejected from ACL
rolling review, provided they are accompanied by their reviews, and
they fit the topic of the workshop.
Research papers (archival or non-archival) may consist of up to 8
pages of content. Research communications may consist of up to 1 pages
of content.
Topics:
We invite original research papers specifically on the following
topics, with a particular focus on resources, taxonomies, and
benchmarks for the evaluation of NLP systems on Information Disorder:
- new interdisciplinary theoretical proposals and foundational aspects
- surveys on Information Disorder
- multiculturality and multilinguality in datasets and technologies
- interdisciplinary computational methods and frameworks
- community- and user-centred approaches
- real-world applications to contrast false information
- experimental applications and projects for social good
- evaluation of Information Disorder-focused systems
- generative approaches to contrast false information
- participatory approaches
- positions on Information Disorder
Submissions are open to all and are to be submitted anonymously (and
must conform to the instructions for double-blind review). All papers
will be refereed through a double-blind peer review process by at
least three reviewers, with final acceptance decisions made by the
workshop organisers. Scientific papers will be evaluated based on
relevance, significance of contribution, impact, technical quality,
scholarship, and quality of presentation.
Attendance:
At least one author of each accepted paper is required to participate
in the conference and present the work, in-person or online.
Important Dates:
 - February 17: Paper submission
 - March 17: Notification of acceptance
 - March 30: Camera-ready submission
 - May 12, 2026: InDor at LREC!
Workshop Organisers:
Simona Frenda, Heriot-Watt University
Marco Antonio Stranisci, University of Turin
Shaina Ashraf, Phillips University of Marburg
Ada Ren, Macquarie University
Ioannis Konstas, Heriot-Watt University
Usman Naseem, Macquarie University
Contact us at s.frenda at hw.ac.uk if you have any questions.
Website: https://information-disorder-workshop.github.io/

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