Aj Alvero: Researcher — Prolific Citations Library

Explore 1 peer-reviewed study by Aj Alvero in Sociological Methods and Generative AI (2025). Discover research powered by Prolific's participant panel.

This page lists 1 peer-reviewed paper authored or co-authored by Aj Alvero in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Generative AI meets open-ended survey responses: Research participant use of ai and homogenization

Authors: S Zhang, J Xu, AJ Alvero

Year: 2025

Published in: Sociological Methods & Research, 2025 - journals.sagepub.com

Institution: University of Maryland, Indiana University, University of Minnesota Duluth

Research Area: Sociological Methods, Generative AI, Survey Methodology

Discipline: Sociology, Social Science

The study finds that 34% of research participants use generative AI tools like large language models (LLMs) to assist with open-ended survey responses, leading to more homogeneity and positivity in their answers, which could impact data validity by masking social variations.

Methods: The study conducted an original survey on a popular online platform and simulated comparisons between human-written responses from pre-ChatGPT studies and LLM-generated responses.

Key Findings: Use of LLMs by survey participants, differences in text homogeneity, positivity, and masking of social variation in open-ended survey responses.

Citations: 26