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
Course evaluations
- Course rating
- 3.93 / 5 · Very Good
- Instructor rating
- 4.09 / 5 · Very Good
- Terms evaluated
- 4
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Seung Jang | 3.9 | 3.9 | 4.2 | 4.0 | 4.1 | 4.1 | 4.5 | 4.1 | — | 14 of 20 |
| Fall 2025 | Seung Jang | 4.0 | 4.0 | 3.9 | 3.9 | 3.9 | 4.5 | 4.5 | 4.4 | 1–3 hrs/week | 14 of 18 |
| Spring 2025 | Seung Jang | 4.1 | 4.5 | 4.4 | 4.1 | 3.6 | 4.4 | 4.5 | 4.3 | 1–3 hrs/week | 11 of 15 |
| Fall 2024 | Seung Jang | 3.7 | 4.0 | 3.9 | 4.0 | 4.1 | 4.4 | 4.6 | 4.4 | — | 7 of 8 |