COMM 2282 Researching Big Data and Artificial Intelligence

This course may be used to satisfy one of four electives required within the Communication major. This course is designed to develop an understanding of big data and artificial intelligence from social science perspectives. Students will critically interpret the distinctive paradigms of emerging research with digital social media data (big data) by engaging with case studies and theoretical frameworks. They will also discuss challenges and opportunities AI presents and how it shapes our understanding of human communication and society. The subtopics include human-AI interactions, social media analytics, algorithm-based discrimination, social media-related policy, misinformation, and machine learning.

Course overview

Department
Communication
School
MCAS
Credits
3
Level
Undergraduate
Offered
Periodically

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

3.93 / 5

Based on 46 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Seung Jang
    Fall 2026, Spring 2026, Fall 2025, Spring 2025, Fall 2024 · Official rating 4.09/5

Sections

  • Section 01
    Fall 2026 · Seung Jang · Stokes Hall 205S TuTh 01:30PM-02:45PM · Offered