Full papers
Original research contributions with substantial results and analysis, up to 8 pages plus references.
NLP/CORE Unranked
LT-EDI 2026
Sixth Workshop on Language Technology for Equality, Diversity and Inclusion
LT-EDI 2026 is a workshop focused on language technologies for detecting and analyzing hate speech, cyberbullying, and other forms of toxic language in digital communication. It brings together researchers from computational linguistics, natural language processing, and social sciences to share innovative methods and datasets for mitigating online harm.
Key deadlines
Verified September 9, 2026Full paper
March 10, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
March 10, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Preliminary results, work-in-progress, or position papers, up to 4 pages plus references.
System demonstrations
Demonstrations of tools, systems, or applications for detecting or mitigating toxic language, up to 4 pages plus references.
Dataset papers
Papers introducing new annotated datasets for toxic language detection, up to 6 pages plus references.
Research areas in scope
01
Topics
Hate speech detection and analysisCyberbullying detectionToxic comment classificationAbusive language identificationBias and fairness in NLP modelsMultilingual and low-resource language toxic content analysisDetection of targeted harassment and doxxingEthical and legal aspects of toxic language detectionDataset creation and annotation for toxic languageEvaluation metrics and benchmarks for toxic language tasksExplainability and interpretability of toxic language modelsCounter-narratives and intervention strategiesDetection of harmful content in social media, forums, and comment sectionsCross-domain and cross-platform toxic language analysisTemporal dynamics and evolution of toxic language
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- All submissions must be in PDF format and conform to the official LT-EDI 2026 template.
- Papers must not be under review at any other conference or journal during LT-EDI 2026 submission.
- Authors must not submit substantially similar work to multiple venues simultaneously.
- Author lists and affiliations cannot be changed after the submission deadline.
- Authors must include a statement on the use of AI tools in the submission, if any were used.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026