Voices from the Digital Undercommons

Understanding the New Media of Student Life and Learning

This dissertation examines how CUNY’s digital campus communities evolved during the COVID-19 pandemic transition through computational analysis of Reddit discourse spanning 2011-2025.

Key Findings

Dissertation Structure

Chapter 1: Context & Literature

Introduction, theoretical framework, and pre-pandemic baseline analysis establishing 11% late-night activity and tactical knowledge infrastructure.

14,000 words30 evidence IDs

Chapter 2: Macroscopic Analysis

Computational patterns including temporal dynamics, network reconstruction, and linguistic analysis of crisis discourse acceleration.

16-18,000 words5 evidence IDs18 analysis reports

Chapter 3: Microscopic Analysis

Ethnographic close reading of vernacular knowledge systems, tactical workarounds, and compound vulnerability discourse.

18-20,000 words68 evidence IDs44 analysis reports

Research Resources

Methodology

This research employs user-centric scraping to bypass Reddit’s 1000-item API limitation, reconstructing complete participation histories of 24,270 users across 14 years. The methodology prioritizes data completeness through orphan recovery, capturing crisis-driven one-time posts that conventional sampling would exclude.

Data Architecture: Distributed SQLite databases (one per subreddit) with comprehensive orphan recovery achieving 98%+ completion rates.

Comparative Context

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This Jekyll site was generated from markdown dissertation files and computational analysis outputs. All evidence IDs link to full context, and analysis reports include downloadable JSON data.