Proceedings of the 11th Social Media Mining for Health Research and Applications (SMM4H-HeaRD 2026) Workshop and Shared Tasks

2026-06-25 · Source: Paper Index on ACL Anthology · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Health Informatics · Depth: Expert, quick

Summary

The Proceedings of the 11th Social Media Mining for Health Research and Applications (SMM4H-HeaRD 2026) Workshop and Shared Tasks, edited by Guillermo Lopez-Garcia and Graciela Gonzalez-Hernandez, document the research presented at this significant annual event. Published by the Association for Computational Linguistics in July 2026, these proceedings originate from San Diego, United States, and are identifiable by Anthology ID 2026.smm4h-1.0 and DOI 10.18653/v1/2026.smm4h-1.0. The volume compiles contributions from the 11th iteration of this workshop, which specifically focuses on leveraging social media data for health-related research and applications. It includes papers from various shared tasks, highlighting advancements and methodologies in the field of social media mining for health, offering a comprehensive overview of current trends and challenges.

Key takeaway

For research scientists or NLP engineers seeking current work in health-related social media analysis, consult the SMM4H-HeaRD 2026 proceedings. This volume provides a centralized resource for understanding recent advancements and methodologies presented at the 11th workshop, offering valuable context for your own research or application development in this specialized domain. Accessing these proceedings can inform your approach to data collection, model development, and problem formulation.

Topics

• Social Media Mining
• Health Informatics
• Natural Language Processing
• Computational Linguistics
• Shared Tasks
• Conference Proceedings

Best for: AI Scientist, Research Scientist, NLP Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Paper Index on ACL Anthology.