[AISWorld] CFP - WWW 2022 Workshop on Mental Health and Social Media (MAISoN 2022)

[Fattane Zarrinkalam]

Call For Papers=============
The 8th International Workshop on Mining Actionable Insights from Social
Networks (MAISoN 2022)Special Edition on Mental Health and Social
MediaColocated
with the The Web Conference (formerly known as International World Wide Web
Conference, abbreviated as WWW)  April 26, 2022Workshop website:
https://2022.maisonworkshop.org/

Important Dates:

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



- Submission deadline:  February 3, 2022

- Acceptance notification: March 3, 2022



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 mental health monitoring and
surveillance.

- Predicting user's mental health status on social media.

- Association of social media Use with mental health

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

- Predictive models for early detection of future mental illness from
social media.

- Explainable AI for healthcare social media analytics.

- Ethics, bias, and fairness in analysing social media for mental health
analysis.

- New datasets and evaluation methodologies to help mental health analysis
on social media.



Submission Instructions:

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



We invite the submission of regular research papers (4-10 pages) as well as
position papers (2-4 pages). Submissions must adhere to the ACM template
and format published in the ACM guidelines at
https://www.acm.org/publications/proceedings-template. Please remember to
add Concepts and Keywords. Please use the template in traditional
double-column format to prepare your submissions. For example, word users
may use Word Interim Template, and latex users may use sample-sigconf
template. For overleaf users, you may want to use
https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty



All submissions must be submitted in PDF format according to the guidelines
through the Easychair installation:
https://easychair.org/conferences/?conf=maison2022.



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, University of Guelph, fzarrink at uoguelph.ca