Research Overview

How visibility is produced, distributed, and managed.

I study how organizations use technologies to observe people and their environments, how these technologies distribute visibility unevenly, and how organizations respond when contested surveillance practices become visible and subject to scrutiny.

01

Production

How organizations produce visibility through strategic choices about what and whom to observe.

02

Distribution

How visibility is distributed unevenly across people, places, and organizations.

03

Management

How organizations manage visibility when their practices become contested

How organizations produce visibility through digital technologies

Work in progress · Dissertation chapter 1

Digital Tracking Technologies and Organizational Strategy in the Field of Higher Education

Organizations vary in how they collect information about online users. This paper asks why organizations develop different approaches to digital observation. I trace how colleges and universities adopt digital tracking technologies to collect behavioral information from website users. Drawing on longitudinal observations of university homepages, I model the organizational determinants of different data collection strategies and show how organizations expand, modify, and withdraw their digital observation practices.

How digital technologies distribute visibility unevenly across people, places, and organizations

Working Paper · Preparing for submission

Digital Redlining in College Recruitment: How Search Location Shapes Access to Information

Carson W. Phillips & Lincoln Quillian

Many students begin their college search online, yet the information they encounter is not uniform. Search results are personalized based on users’ locations and other digital trace data, potentially shaping access to educational opportunities. We examine how the characteristics of the ZIP code from which a search originates affect the college information returned by search engines. We conduct a digital audit experiment and scrape Google search results for “colleges" while systematically manipulating browser parameters to simulate searches originating from different ZIP codes. We repeatedly conduct searches across all ZIP codes in the United States. We find that ZIP code income is a strong predictor of the types of institutions displayed. Searches originating in lower-income ZIP codes disproportionately feature colleges with lower completion rates, lower post-graduate earnings, and higher post-graduate default rates than searches originating in more affluent ZIP codes. We identify potential mechanisms underlying these disparities across organic and sponsored search results. The characteristics of nearby colleges are a key driver of inequality in organic results, while sponsored results provide evidence that for-profit and online colleges target lower-income ZIP codes. We discuss the implications of differential search results for inequality in college outcomes.

Work in Progress · Dissertation chapter 2

Disparities in Behavioral Visibility

This study shows how differences in organizational data collection and user behavior shape who becomes visible to organizations through digital technologies.

How organizations manage visibility when their practices become contested

Work in Progress · Data collection

Organizations and Manufactured Transparency in the Age of Surveillance

This project investigates how organizations respond when their surveillance practices become contested. In ongoing work, I track how agencies navigate public scrutiny by selectively disclosing information about their use of surveillance technologies, manufacturing an artificial appearance of transparency while obscuring the full scope of their practices.