Please kindly share with your colleagues, students, and collaborators.
This special issue welcomes theoretical, analytical, and empirical contributions using any kind of research method, including experiments, primary data from social media logs, case studies, simulations, surveys, and so on. Submissions are encouraged to
examine the nature of both harmful and social good intentional behaviors on social media towards understanding, detecting, and monitoring good communication while countering harmful communication, by employing computational social media analytics techniques.
The target audience for this special issue will consist of researchers, practitioners, and graduate students from various disciplines, including (but not limited to) behavioral science, computer and information sciences, psychology, sociology, political science,
cognitive science, cultural study, information systems, terrorism and counter-terrorism, operations research, and communication.
Through this special issue, we aim to bring together researchers and practitioners from different disciplines, to share, exchange, learn, and develop preliminary results, new concepts, ideas, principles, and methodologies on social, cultural, emotional,
communicative, and linguistic aspects of harmful communications and their content on social media.
Topics include, but are not limited to:
Misinformation, disinformation, fake news (e.g., during elections, epidemics, and disasters, as well as regarding health topics like vaccines), and spreading deep fakes
Harassment and cyberbullying
Illicit drug trafficking
Mental health implications of social media
Validity of social media in smart health and well-being
Ethical and privacy-preserving social media analytics
Emotional and psychological support
Trust relationship and community dynamics
Relationship of social web and mainstream news media
Cultural implications of social web usage
Social good campaigns and movements
Influencer identification and community detection for movements
Paper submissions due: April 15, 2020
First-round reviews due: July 8, 2020
Revisions due: August 12, 2020
Final decision notification: September 16, 2020
Camera-ready submissions due: September 30, 2020
Publication: November/December 2020
Nitin Agarwal, University of Arkansas, USA
Ugur Kursuncu, AI Institute, University of South Carolina, USA
Hemant Purohit, George Mason University, USA
Amit Sheth, AI Institute, University of South Carolina, USA