Introduction to Social Computing
The course, "Introduction to Social Computing" offers a comprehensive exploration of the intersection between technology and society, equipping learners with...
By Ian McCulloh on Coursera
About This Course
The course, "Introduction to Social Computing" offers a comprehensive exploration of the intersection between technology and society, equipping learners with essential skills in social media analytics and influence. By covering a range of topics from data pre-processing to feature extraction and model evaluation, students will gain practical experience in applying machine learning techniques to real-world social media scenarios. Through hands-on modules, learners will delve into the dynamics of socio-technical systems and responsible AI, understanding how digital platforms shape human interactions and behaviors. The unique combination of theoretical insights and practical applications prepares students to navigate the complexities of social media, including analyzing firestorms and mitigating misinformation. What sets this course apart is its focus on gamification and cognitive biases in online environments, providing students with innovative strategies to enhance user engagement and promote critical thinking. Whether you are looking to advance your career in tech or simply understand the social implications of technology, this course will empower you to effectively analyze and leverage social computing in today’s digital landscape.
Topics Covered
Frequently Asked Questions
How much does Introduction to Social Computing cost?
Visit the Introduction to Social Computing course page for current pricing and available discounts.
Who teaches Introduction to Social Computing?
Introduction to Social Computing is taught by Ian McCulloh, Johns Hopkins University.
What skill level is Introduction to Social Computing for?
This course is designed for beginner learners.
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