Johns Hopkins University
Introduction to Social Computing
Johns Hopkins University

Introduction to Social Computing

This course is part of Social Computing Specialization

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

20 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

20 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

September 2024

Assessments

12 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Social Computing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 5 modules in this course

The Introduction to Social Computing course explores the intersection of technology and social behavior. It covers fundamental concepts such as social computing, crowdsourcing, and human computation. Students will delve into social media dynamics, including platform manipulation and data limitations, and examine the effects of network conformity and cognitive biases on online behavior. Additionally, the course highlights the history and impact of gamification, demonstrating how game design can enhance social computing applications.

What's included

1 reading1 plugin

In this module, you’ll explore the fundamentals of socio-technical systems and responsible AI in the context of digital platforms. You’ll define social media analytics and delve into structure-based versus content-based analysis methods. You’ll also understand the role of social media and information in influencing and manipulating populations, providing a foundational understanding of how digital technologies shape societal interactions and behaviors.

What's included

4 videos3 readings3 assignments

In this module, you’ll get an in-depth exploration of social media platforms, focusing on high-level analytics, legal issues, and the impact of firestorms. You’ll be able to define what constitutes social media and examine how it influences modern communication. Learn about social media firestorms, their rapid escalation, and the implications for users and organizations. Explore social media platform manipulation and the challenges associated with collecting and analyzing data, enhancing your understanding of digital communication landscapes.

What's included

4 videos2 readings3 assignments1 ungraded lab

In this module, you’ll explore the dynamics of influence, network conformity, and cognitive biases in online environments. You’ll also understand how network conformity shapes beliefs and behaviors, and examine the phenomenon of majority illusion. You’ll also explore the neural basis of persuasion and the impact of cognitive biases on online interactions, equipping you with insights into combating disinformation and promoting critical thinking in digital spaces.

What's included

4 videos3 readings3 assignments

In this module, you'll explore the evolution and application of gamification in social computing. You’ll learn about the history of gamification and its impact on engagement. You’ll also understand how game design principles enhance the usability and effectiveness of social computing applications. You’ll explore research in applied game design, equipping you with practical insights into leveraging gamification to enhance user motivation and interaction.

What's included

5 videos3 readings3 assignments

Instructor

Ian McCulloh
Johns Hopkins University
7 Courses33 learners

Offered by

Recommended if you're interested in Algorithms

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Algorithms? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions