Call For Papers – Workshop (Click here for the #SMM4H ’20 Call For Participation – Shared Task, or click here for the #SMM4H ’19 Workshop)

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 The 5^th #SMM4H Workshop, co-located at COLING 2020, invites the submission of papers on original, unpublished research in all aspects at the intersection of social media mining and health.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

Paper Submission and Presentation Information

Paper submissions may consist of up to 6 pages, plus unlimited references, and must describe completed, original, and unpublished work. Papers may make small, focused contributions, but the work must be completed; we will not accept papers describing work-in-progress. We also will not accept papers that overlap significantly with papers that have been or will be published elsewhere, or are currently under consideration for other venues. All accepted papers are required to be presented orally or as a poster, as determined by the program committee, in order to be included in the workshop proceedings. At least one author of each accepted paper must register for #SMM4H 2020 to present. All paper submissions must follow the COLING guidelines and be submitted as a PDF using the Softconf START Conference Manager

Organizers

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
Elena Tutubalina, Kazan Federal University, Russia
Zulfat Miftahutdinov, Kazan Federal University, Russia
Ilsear Alimova, 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 (ariklein@pennmedicine.upenn.edu)