[AISWorld] CFP - ICWSM 2021 Workshop on Healthcare Social Analytics (MAISoN 2021)

[Fattane Zarrinkalam]

 Call For Papers=============
The 6th International Workshop on Mining Actionable Insights from Social
Networks (MAISoN 2021)Special Edition on Healthcare Social AnalyticsColocated
with the 15th International AAAI Conference on Web and Social Media (ICWSM) Jun
7, 2021Workshop website: https://www.maisonworkshop.org/
<https://www.maisonworkshop.org/home>

Important Dates:

==============



- Submission deadline: March 27 April 5, 2021

- Acceptance notification: April 10, 2021



Details:

======

With the emergence and growing popularity of social media such as blogging
systems, wikis, social bookmarking, social networks and microblogging
services, many users are extensively engaged in at least some of these
applications to express their feelings and views about a wide variety of
social topics as they happen in real time by commenting, tagging, joining,
sharing, liking, and publishing posts. According to Statista, there were an
estimated 2.65 billion people using social media in 2018, a number
projected to increase to almost 3.1 billion in 2021. This has resulted in
an ocean of data which presents an interesting opportunity for performing
data mining and knowledge discovery in many domains including healthcare.
The recent highly impressive advances in machine learning and natural
language processing present exciting opportunities for developing automatic
methods for the collection, extraction, representation, analysis, and
validation of social media data for health applications. These methods
should be able to simultaneously address the unique challenges of
processing social media data and timely discover meaningful patterns
identifying emerging health threats.

In this workshop, we invite researchers and practitioners from different
disciplines such as computer science, big data mining, machine learning,
social media analysis and other related areas to share their ideas and
research achievements in order to deliver technology and solutions for
healthcare social analytics.



Topics of interest include, but are not limited to:

=======================================

- Social media mining for automatic health monitoring and surveillance

- Predicting user's health status on social media

- User behavior analysis and susceptibility prediction with regard to
health-related data on social media

- Predictive models for early detection of trends in health-related issues
on Social Media

- Early detection of disease outbreaks

- Explainable AI for healthcare social media analytics

- Ethics, bias, and fairness in analysing social media for healthcare
applications

- Analysing health-related misinformation on social media

- Prescriptive countermeasure methods against formation and circulation of
health-related misinformation

- New datasets and evaluation methodologies to help healthcare social
analytics



Submission Instructions:

====================



We invite the submission of regular research papers (4-10 pages) as well as
position papers (2-4 pages). We recommend papers to be formatted according
to the AAAI two-column, camera-ready style
<https://www.aaai.org/Publications/Templates/AuthorKit21.zip>. No source
files (Word or LaTeX) are required at the time of submission for review;
only the PDF file is permitted. All papers will be peer reviewed.

All submissions must be submitted in PDF format according to the guidelines
through the Easychair installation:
https://easychair.org/my/conference?conf=maison2021.



Organizers (Alphabetical):

=====================



Ebrahim Bagheri, Ryerson University, bagheri at ryerson.ca

Diana Inkpen, University of Ottawa, diana.inkpen at uottawa.ca

Christopher C. Yang, Drexel University, chris.yang at drexel.edu

Fattane Zarrinkalam, Thomson Reuters Labs,
fattane.zarrinkalam at thomsonreuters.com