How do politicians and activists harness social media to reach voters? Can algorithmic filter bubbles or echo chambers distort electoral outcomes? In this cross-listed and co-taught course, we investigate the intersection of digital algorithmic platforms and American democracy. We begin with fundamentals: how US elections work and the institutions that shape them. Then we explore social media's dual role—as a tool for voter mobilization and a vector for propaganda, conspiracy theories and disinformation—and its effects on political polarization and public trust. Throughout the semester, students will engage in hands-on projects including digital youth mobilization campaigns, auditing of simulated algorithmic filter bubbles, and quantitative analyses of electoral campaign digital strategies. They will leave the class with both conceptual and practical skills for contributing to digital democracy.

Units: 1

Max Enrollment: 18

Crosslisted Courses:

Prerequisites: One of the following - CS 110, CS 111, CS 112, POL 200, or any other CS or POL course at a higher level. Ideally students would have taken both a CS and a POL course before enrolling. However, they can take them concurrently with this course.

Distribution Requirements: MM - Mathematical Modeling and Problem Solving; SBA - Social and Behavioral Analysis

Degree Requirements: DL - Data Literacy (Formerly QRDL)

Typical Periods Offered: Every other year; Fall

Semesters Offered this Academic Year: Fall

Notes: