Humanist Discussion Group, Vol. 39, No. 324.
Department of Digital Humanities, University of Cologne
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Submit to: humanist@dhhumanist.org
Date: 2026-02-10 10:39:29+00:00
From: Simona Frenda <simona.frenda@gmail.com>
Subject: [deadline extension] 3rd Call for paper: The Information Disorder Workshop
The Information Disorder Workshop
Collocated with LREC 2026 in Palma de Mallorca, Spain
https://information-disorder-workshop.github.io/
* February 17 24: Paper submission
* March 17: Notification of acceptance
* March 30: Camera-ready submission
* May 12, 2026: InDor at LREC!
Online disinformation is a pressing challenge for our societies. Its role
in influencing elections (Allcott & Gentzkow, 2017) and behaviours (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 page of content. Please
make the submission here: https://softconf.com/lrec2026/InDor26/
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.
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@hw.ac.uk if you have any questions.
Website: https://information-disorder-workshop.github.io/
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