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Overview of the 11th Social Media Mining for Health (# SMM4H) and Health Real-World Data (HeaRD) Shared Tasks at ACL 2026

Guillermo Lopez-Garcia; Jose Miguel Acitores Cortina; Jacob Berkowitz; Joey Chan; Sumon Kanti Dey; Ivan Flores Amaro; Fernando Gallego; Lauren Gryboski; Ari Z Klein; Farnoush Zeidi Kolehparcheh15; others
In: The 11th Social Media Mining for Health Research and Applications (SMM4H-HeaRD 2026) Workshop and Shared Tasks. Social Media Mining for Health Research and Applications Workshop (SMM4H-2026), Pages 1-10, ACL, 2026.

Abstract

The aim of the Social Media Mining for Health Applications and Health Real-World Data (# SMM4H-HeaRD) shared tasks is to foster the development and evaluation of natural language processing, machine learning, and artificial intelligence methods for analyzing health-related text from social media and other real-world data sources. For the 11th iteration, held online and co-located with ACL 2026, the workshop continued the expanded# SMM4H-HeaRD platform initiated in 2025, broadening its scope beyond social media to include additional health real-world data sources such as clinical narratives and biomedical literature. The 8 shared tasks covered diverse data sources, health domains (eg, adverse drug events, insomnia, influenza vaccine effectiveness, cancer staging, substance use), and task formulations (eg, classification, named entity recognition, span extraction, and text generation). In total, 110 teams registered, representing 31 countries.

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