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

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
3.93 / 5 · Very Good
46 responses
Instructor rating
4.09 / 5 · Very Good
46 responses
Terms evaluated
4
Most recent: Spring 2026

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2026Seung Jang3.93.94.24.04.14.14.54.1—14 of 20
Fall 2025Seung Jang4.04.03.93.93.94.54.54.41–3 hrs/week14 of 18
Spring 2025Seung Jang4.14.54.44.13.64.44.54.31–3 hrs/week11 of 15
Fall 2024Seung Jang3.74.03.94.04.14.44.64.4—7 of 8

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Seung Jang
    Spring 2027, Fall 2026, Spring 2026, Fall 2025, Spring 2025, Fall 2024 · Official rating 4.09/5

Sections

  • Section 01
    Spring 2027 · Seung Jang · Stokes Hall 133S MW 04:30PM-05:45PM · Offered
  • Section 01
    Fall 2026 · Seung Jang · Stokes Hall 205S TuTh 01:30PM-02:45PM · Offered