Introduction to Social Computing
Master the intersection of technology and society through social media analytics, gamification, and responsible AI implementation.
Master the intersection of technology and society through social media analytics, gamification, and responsible AI implementation.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Social Computing Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Understand fundamental concepts of social computing and analytics
Analyze social media influence and platform manipulation
Recognize cognitive biases in online environments
Implement gamification strategies for user engagement
Skills you'll gain
This course includes:
4.4 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course explores the interaction between technology and social behavior, focusing on social media analytics and responsible AI implementation. Students learn about socio-technical systems, network conformity, cognitive biases, and gamification principles. The curriculum combines theoretical foundations with practical applications in analyzing social media dynamics, understanding online behavior, and implementing ethical AI solutions.
Course Introduction
Module 1 · 9 Minutes to complete
Introduction to Social Computing
Module 2 · 6 Hours to complete
Social Media
Module 3 · 3 Hours to complete
Network Conformity and Fake News
Module 4 · 5 Hours to complete
Games and Gamification
Module 5 · 5 Hours to complete
Fee Structure
Instructor
Pioneering Social Network Analysis and AI at Johns Hopkins University
Dr. Ian McCulloh is an esteemed associate professor at Johns Hopkins University, holding joint appointments in the Bloomberg School of Public Health and the Whiting School of Engineering. His research focuses on social neuroscience, social network analysis, and the application of artificial intelligence to enhance understanding of online influence and strategic communication. With over 100 peer-reviewed publications and several influential books, including Social Network Analysis with Applications and ISIS in Iraq: Understanding the Social and Psychological Foundations of Terror, Dr. McCulloh has established himself as a leading voice in his field. He also founded the Brain Rise Foundation, a nonprofit dedicated to advancing neuroscience research for substance abuse recovery. Prior to his academic career, he had a distinguished military service, retiring as a Lieutenant Colonel after 20 years, during which he led innovative projects in data-driven social science research for countering extremism. Dr. McCulloh's multifaceted expertise and commitment to applying science for societal benefit make him a valuable asset to both academia and public health initiatives.
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Frequently asked questions
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