Research agenda

Campaigns, public opinion, and representation

My work is organized around four connected areas. Expand each section for manuscripts, active projects, and recent presentations.

01

Negative and Positive Campaigning

How campaign appeals shape evaluation, recall, and political judgment.

Dissertation research

Negativity Bias Revisited: Changes in the Effects of Campaign Appeals over Time

The dissertation examines how responses to positive, negative, and contrast campaign messages vary across contemporary information environments, including effects on candidate evaluations and open-ended reactions.

Manuscripts and ongoing projects
  • George Quinn & Richard Lau. “Negativity Bias Revisited.”
  • George Quinn & Jessica Grassetti. “Dynamic Voter Behavior in Polarized Times: Longitudinal Analysis of Electoral Choice in 2016 and 2020.”
  • George Quinn & Jan Kubik. “Cultural Impacts on Measuring Authoritarianism in American Elections.”
Selected conference presentations
  • “Priming Negativity: Open-Ended Text Classification and Campaign Appeals.” APSA, 2026.
  • “Negativity Bias Revisited: Assessing Candidate Evaluations and Campaign Environments.” MPSA, 2026.
  • “Negativity Bias Revisited.” APSA, 2025; SPSA, 2025.

02

Generative AI: Survey Research & Data Centers

Transparent, validated uses of language models for classifying open-ended responses.

Manuscript under review

Steering AI for Classifying Open-Ended Text

With Richard Lau. An evaluation of human-guided AI classification for 2020 ANES candidate likes and dislikes. Under review at Public Opinion Quarterly.

Ongoing projects
  • “Unlocking Open-Ended Data — ANES Like/Dislike Classification, 2012–2024,” with Richard Lau.
  • “Schemas of Energy Supply and Demand: How Do New Jerseyans Link Data Centers to Energy Development?” with Frederic Traylor.
  • “AI Politics Is Local: Turning Down the Temperature on Data Center Politics,” with Frederic Traylor.
Selected conference presentations
  • “AI Data Centers: Congressional Framings and Their Electability.” APSA, 2026.
  • “Steering AI for Classifying Open-Ended Text.” AAPOR, 2025; MPSA, 2025; APSA, 2024.
  • “Evaluating AI and Structured Topic Modeling for Open-Ended Responses within the 2020 ANES.” AAPOR, 2024 — Best Student Poster Award.

03

Young Elected Leaders

Candidate age, descriptive representation, and the age gap in American institutions.

Manuscript under review

The Age Penalty: Evidence from Two Survey Experiments

Two experiments test how candidate age shapes impressions and vote willingness in simulated primary elections. Under review at the Journal of Experimental Political Science.

Ongoing projects
  • “The Age Representation Gap in U.S. State Legislatures: A New Dataset of Legislator Age and State Population Demographics.”
  • “Passing the Torch: How Gen-Z Is Seeking Office on Their Own Terms,” with Shauna Shames.
Datasets
  • Young Elected Leaders Project. Age in State Legislatures 2017–2024. Eagleton Institute of Politics, Rutgers University. Corresponding author: George Quinn.
  • Young Elected Leaders Project. Age in the United States Congress 2002–2024. Eagleton Institute of Politics, Rutgers University. Corresponding author: George D. Quinn.

04

Race, Ethnicity, and Electoral Choice

Voting behavior, racial attitudes, and the politics of Puerto Rico’s status.

Manuscript under review

Challenging the Narrative: Latino Voting in Presidential Elections

With Maria Ovalle. Under review at Political Research Quarterly.

Ongoing projects
  • “Racial Attitudes and Vote Choice,” with Zachary Winograd.
  • “Puerto Rico: Is Independence for the Rich and Statehood for the Poor?” with Santos Rivera-Cardona.
Selected conference presentations
  • “Puerto Rico: Is Independence for the Rich and Statehood for the Poor?” PRIEC, 2026.
  • “Racial Attitudes Effect on Vote Choice — Senate Elections in Georgia.” SPSA, 2026.
  • “Challenging the Narrative: Latino Voting in Presidential Elections.” SPSA, 2026; AAPOR, 2025.

Data & coding

Reproducible research workflows

Projects combine public data, statistical programming, survey platforms, and computational tools.

Dataset

State Legislature Age Project

Longitudinal, cross-state data on legislator age and population demographics from 2017–2024.

View Database

Dataset

Age in Congress

Congressional age data spanning 2002–2024 for studying generational representation.

View Database

Text classification

ANES Open-Ended Responses

A human-guided AI workflow with validation across topic and major-category codebooks.

View GitHub Repository

For replication files, data inquiries, or collaboration, please contact me.

Research profiles

Find publications and identifiers