Guest Editors
Muhammad Zubair Asghar
MUHAMMAD ZUBAIR ASGHAR is an HEC approved supervisor recognized by Higher Education Commission (HEC), Pakistan. Ph.D. research includes recent issues in Opinion Mining and Sentiment Analysis, Computational Linguistics and Natural Language Processing. More than50 publications in journals of international repute (JCR and ISI indexed) and having more than 20 years of University teaching and laboratory experience in Social Computing, Text Mining, Computational Linguistics, and Opinion Mining and Sentiment Analysis. Currently, he is acting as Reviewer and Academic Editor of different top-tier journals, such as PLOS ONE. Furthermore, he has also acted as Special Session Chair (Social Computing) at BESC 2018 International Conference (Taiwan) and Lead Guest Editor, Special Issue on Social Computing in Health Informatics (Journal of Medical Imaging and Health Informatics. JCR listed) and Special Issue on "Soft Computing Methods for Innovative Software Practices-2020" (Intelligent Automation & Soft Computing, JCR listed). He has received post doctorate from University of Kuala Lumpur (UniKL), Malaysia.
E-mail: zubair74.gu@gmail.com
Profile link: https://scholar.google.com.pk/citations?user=_CNMYU0AAAAJ&hl=en
Shakeel Ahmad
Faculty of Computing and Information Technology in Rabigh (FCITR), King Abdul Aziz University (KAU), Jeddah, Saudi Arabia
E-mail: shakeel.kau2@gmail.com
Profile link: https://scholar.google.com.pk/citations?user=D4JJQzMAAAAJ&hl=en
Junaid Asghar
japharmacy912@gmail.com
Higher Education Commission, Pakistan
Profile link: https://loop.frontiersin.org/people/1673183/bio
Summary
Humans are social organisms by nature. We cannot function without the companionship of others, and the quality of our relationships has a significant impact on our mental health and our general well-being. In current era, the Social media has become a big part of the lives of many people. Several online and mobile platforms, such as Facebook, Twitter, Instagram, Snapchat, and LinkedIn, allow people to establish virtual connections and digital exchange material, including text messages, images, and videos. The term "social media" encompasses all of these platforms. Mental and emotional health might be seriously harmed if one lacks solid social ties. A solid social network can all alleviate stress, worry, sadness, and feelings of low self-worth.
However, problem arises, when online users get addicted with over-use of social media platforms. Individuals with a wide range of mental disorders, such as depression or psychotic disorders, or other severe mental illnesses, have been shown in studies to use social media platforms at similar rates to the general population, with use ranging from about 70% among middle-aged and older individuals to upwards of 97% among young people.
This Special Issue intends to effectively assess different negative consequences of social media usage, provide individual improvement techniques based on the study results, and emphasize technology that might enhance mental health levels, particularly in teenagers. This SI will also investigate the impacts of lowering social media usage can help you feel less lonely and isolated, as well as increase your general wellbeing. We welcome original research and review papers.
Potential themes include, but are not limited to, the following:
1. Methodology and technology for analyzing mental health in social media users.
2. Analyzing impact of negative comments or posts on individuals using social media.
4. Developing computational models for healthcare analytics pertaining to mood disorders such as anxiety and depression in social media users..
5. Diagnosing and cure of unhealthy self-centeredness
6. Personality disorders diagnosis systems for social media addicted users.
7. Treatment of a fear of missing out (FOMO) in social media addicted individuals.
8. Rehabilitation of social-media addicted youth with motivational and physical exercise.
Published Papers
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