Online Influence and Persuasion
Master the dynamics of social media influence through network analysis, understanding cognitive biases, and managing platform data for strategic insights.
Master the dynamics of social media influence through network analysis, understanding cognitive biases, and managing platform data for strategic insights.
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 Media Analytics 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 social media analytics and organizational behavior
Explore theories of online influence and platform manipulation
Examine cognitive biases in social media networks
Manage social media data using APIs
Analyze network conformity and information dynamics
Skills you'll gain
This course includes:
10.5 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 social media influence through Social Network Analysis (SNA) and data-driven approaches. Students learn to analyze online behaviors, understand influence dynamics, and manage social media data through APIs. The curriculum covers critical topics including misinformation, platform manipulation, cognitive biases, and network conformity, while providing practical skills in data extraction and analysis.
Course Introduction
Module 1 · 14 Minutes to complete
Social Media Analytics Introduction
Module 2 · 4 Hours to complete
Online Influence and Persuasion
Module 3 · 5 Hours to complete
Network Conformity and Fake News
Module 4 · 4 Hours to complete
Data and APIs
Module 5 · 6 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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