CFP - WWW 2022 Workshop on Mental Health and Social Media (MAISoN 2022)
Fattane Zarrinkalam
Call For Papers
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The 8th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2022)
Special Edition on Mental Health and Social Media
Colocated with the The Web Conference (formerly known as International World Wide Web Conference, abbreviated as WWW)
April 26, 2022
Workshop website: https://2022.maisonworkshop.org/
Important Dates:
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- Submission deadline: February 3, 2022
- Acceptance notification: March 3, 2022
Details:
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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:
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- 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:
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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):
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Ebrahim Bagheri, Ryerson University, bag...@ryerson.ca
Diana Inkpen, University of Ottawa, diana....@uottawa.ca
Christopher C. Yang, Drexel University, chris...@drexel.edu
Fattane Zarrinkalam, University of Guelph, fzar...@uoguelph.ca