The Information Disorder Workshop
Collocated with LREC 2026 in Palma de Mallorca, Spain https://information-disorder-workshop.github.io/
* March 3: Paper submission (extension) * 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 (see the website for details) 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 or other conferences (e.g., LREC), 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/