posted by organizer: azk_wikicfp || 294 views || tracked by 1 users: [display]

#SMM4H 2020 : 5th Social Media Mining for Health Applications Workshop


When Sep 13, 2020 - Sep 13, 2020
Where Barcelona, Spain
Submission Deadline Apr 8, 2020
Notification Due Jun 10, 2020
Final Version Due Jun 30, 2020

Call For Papers

The Social Media Mining for Health Applications (#SMM4H) Workshop serves as a venue for bringing together researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data (e.g., Twitter, Facebook) for health informatics. The 5th #SMM4H Workshop, co-located at COLING 2020 (, invites the submission of papers on original, unpublished research in all aspects at the intersection of social media mining and health. Topics of interest include, but are not limited to:

● Methods for the automatic detection and extraction of health-related concept mentions in social media
● Mapping of health-related mentions in social media to standardized vocabularies
● Deriving health-related trends from social media
● Information retrieval methods for obtaining relevant social media data
● Geographic or demographic data inference from social media discourse
● Virus spread monitoring using social media
● Mining health-related discussions in social media
● Drug abuse and alcoholism incidence monitoring through social media
● Disease incidence studies using social media
● Sentinel event detection using social media
● Semantic methods in social media analysis
● Classifying health-related messages in social media
● Automatic analysis of social media messages for disease surveillance and patient education
● Methods for validation of social media-derived hypotheses and datasets

Important Dates

Submission deadline: April 8, 2020
Notification of acceptance: June 10, 2020
Camera-ready papers due: June 30, 2020
Workshop: September 13, 2020

For more information about paper submissions and presentations for the #SMM4H 2020 Workshop, go to


Graciela Gonzalez-Hernandez, University of Pennsylvania, USA
Davy Weissenbacher, University of Pennsylvania, USA
Ari Z. Klein, University of Pennsylvania, USA
Karen O’Connor, University of Pennsylvania, USA
Abeed Sarker, Emory University, USA
Arjun Magge, Arizona State University, USA
Elena Tutubalina, Kazan Federal University, Russia
Martin Krallinger, Barcelona Supercomputing Center, Spain
Anne-Lyse Minard, Université d’Orléans, France

Program Committee

Olivier Bodenreider, US National Library of Medicine, USA
Kevin Cohen, University of Colorado School of Medicine, USA
Robert Leaman, US National Library of Medicine, USA
Diego Molla, Macquarie University, Australia
Zhiyong Lu, US National Library of Medicine, USA
Azadeh Nikfarjam, Apple, USA
Thierry Poibeau, French National Center for Scientific Research, France
Kirk Roberts, University of Texas Health Science Center at Houston, USA
Yutaka Sasaki, Toyota Technological Institute, Japan
H. Andrew Schwartz, Stony Brook University, USA
Nicolas Turenne, French National Institute for Agricultural Research, France
Karin Verspoor, University of Melbourne, Australia
Pierre Zweigenbaum, French National Center for Scientific Research, France

Contact Information

Ari Klein (

Related Resources

#SMM4H 2020   5th Social Media Mining for Health Applications Shared Task
ASONAM 2020   The 2020 IEEE/ACM International Conference on. Advances in Social Networks Analysis and Mining
LTA 2020   5th International Workshop on Language Technologies and Applications
KES 2020   Global and Constrained Optimization: Algorithms and Applications
ICDM 2020   20th IEEE International Conference on Data Mining
ICWSM 2020   ICWSM 2020 : International Conference on Weblogs and Social Media
ECML PKDD 2020   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
EMNLP 2020   Conference on Empirical Methods in Natural Language Processing
CISDM 2020   2020 2nd European Conference on Information System and Data Mining (CISDM 2020)
Social Media 2020   IEEE International Conference on Social Media, Wearable and Web Analytics