Introduction to Social Computing

This course is part of Social Computing Specialization

Instructor: Ian McCulloh

What you'll learn

  •   Understand the basics of social computing and its relationship with social media and analytics.
  •   Analyze how social media influences communication, behavior, and societal interactions.
  •   Recognize how cognitive biases affect online behavior and the spread of information.
  •   Explore how gamification enhances user motivation and improves social computing applications.
  • Skills you'll gain

  •   Social Sciences
  •   Sociology
  •   Usability
  •   Machine Learning
  •   Data Ethics
  •   Psychology
  •   Network Analysis
  •   Data Collection
  •   Game Design
  •   Behavioral Economics
  •   Analytics
  •   Artificial Intelligence
  •   Systems Thinking
  •   Research
  • There are 5 modules in this course

    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.

    Introduction to Social Computing

    Social Media

    Network Conformity and Fake News

    Games and Gamification

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