Connectionists: CFP: #SMM4H'22, 7th Social Media Mining for Health Applications - Workshop & Shared Task at COLING 2022

[Davy Weissenbacher]

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First call for *papers*, submission deadline is August 15, 2022
First call for *shared task* participation, evaluation period starts July
11, 2022
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*Apologies if you received multiple copies of this CFP*

*Location:* Gyeongju, Republic of Korea
*Workshop Date:* October 16-17, 2022
*Important links:*
Workshop and Shared task: https://healthlanguageprocessing.org/smm4h-2022/
Submission link: TBA

The workshop will include two components — a standard workshop and a shared
task

*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, Reddit, Facebook) for health informatics.
The 7th #SMM4H Workshop, co-located at COLING 2022 (
https://coling2022.org/index), invites 4-page paper (unlimited references
in standard COLING format) submissions on original, unpublished research in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


*Shared task*
The workshop organizers this year are hosting 10 shared tasks i.e. NLP
challenges as part of the workshop. Participating teams will be provided
with a set of annotated posts for developing systems, followed by a
three-day window during which they will run their systems on unlabeled test
data and upload it to Codalab for evaluation. For additional details about
the tasks and information about registration, data access, paper
submissions, and presentations, go to
https://healthlanguageprocessing.org/smm4h-2022/

   - Task 1 – Classification, detection, and normalization of Adverse
   Events (AE) mentions in tweets (in English)


   - Task 2 – Classification of stance and premise in tweets about health
   mandates related to COVID-19 (in English)


   - Task 3 – Classification of changes in medication treatments in tweets
   and WebMD reviews (in English)


   - Task 4 – Classification of tweets self-reporting exact age (in English)


   - Task 5 – Classification of tweets containing self-reported COVID-19
   symptoms (in Spanish)


   - Task 6 – Classification of tweets which indicate self-reported
   COVID-19 vaccination status (in English)


   - Task 7 – Classification of self-reported intimate partner violence on
   Twitter (in English)


   - Task 8 – Classification of self-reported chronic stress on Twitter (in
   English)


   - Task 9 – Classification of Reddit posts self-reporting exact age (in
   English)


   - Task 10 – Detection of disease mentions in tweets – SocialDisNER (in
   Spanish)

*Organizing Committee*
    Graciela Gonzalez-Hernandez, University of Pennsylvania, USA
    Davy Weissenbacher, University of Pennsylvania, USA
    Arjun Magge, University of Pennsylvania, USA
    Ari Z. Klein, University of Pennsylvania, USA
    Ivan Flores, University of Pennsylvania, USA
    Karen O’Connor, University of Pennsylvania, USA
    Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland
    Lucia Schmidt, Roche Pharmaceuticals, Switzerland
    Juan M. Banda, Georgia State University, USA
    Abeed Sarker, Emory University, USA
    Yuting Guo, Emory University, USA
    Yao Ge, Emory University, USA
    Elena Tutubalina, Insilico Medicine, Hong Kong
    Luis Gasco, Barcelona Supercomputing Center, Spain
    Darryl Estrada, Barcelona Supercomputing Center, Spain
    Martin Krallinger, Barcelona Supercomputing Center, Spain

*Contact*
All questions should be emailed to Davy Weissenbacher (
dweissen at pennmedicine.upenn.edu)
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