Course

DH-500: Computational Social Media

Summary

The course integrates concepts from media studies, machine learning, multimedia, and network science to characterize social practices and analyze content in platforms like Twitter/X, Instagram, YouTube, and TikTok. Students will learn methods to understand socio-technical phenomena in social media.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/computational-social-media-DH-500

Moodle Page

http://go.epfl.ch/DH-500

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/computational-social-media-DH-500

Moodle Page

http://go.epfl.ch/DH-500

About this result

Lectures in this course (22)

Twitter API Basics: Data Access

Covers the basics of the Twitter API, including rate limits and data access.

Understanding Social Media

Covers the goals, definition, types, and computational analysis of social media, emphasizing the study of human behavior through digital traces.

Networked Individualism: The New Social Operating System

Explores networked individualism, the shift to individual-centric social networks, and the impact of connectivity, weaker group boundaries, and increased personal autonomy on society.

Social Media Usage Trends

Explores the evolution of social media usage trends and the concept of social media as a utility.

Facebook Research: User Analysis, Motivations, Identity, and Privacy

Covers Facebook research on user analysis, motivations, identity, and privacy.

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