J Jin: Researcher — Prolific Citations Library

Explore 2 peer-reviewed studies by J Jin in Socio-Economic Impacts of AI and Algorithmic Systems (2021–2026). Discover research powered by Prolific's participant panel.

This page lists 2 peer-reviewed papers authored or co-authored by J Jin in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

Once One Fails, All Are Suspect: Understanding Error Generalization in AI

Authors: L Dai, Z Wang, L Chen, J Jin

Year: 2026

Published in: 2026•scholarspace.manoa.hawaii.edu

Institution: Shanghai International Studies University

Research Area: Socio-Economic Impacts of AI, Algorithmic Systems

Discipline: Computer Science, Artificial Intelligence

AI errors lead to broader negative generalizations about other AI systems compared to human errors, largely due to perceptions of AI's inflexibility and inability to learn from mistakes.

Methods: Conducted four one-factor experiments across distinct contexts to compare human responses to AI errors and human errors.

Key Findings: Generalization of error perceptions from one AI system to others, and psychological mechanisms driving this process.
Exploring cross-cultural differences in English hate speech annotations: From dataset construction to analysis

Authors: N Lee, C Jung, J Myung, J Jin

Year: 2021

Published in: Proceedings of the ..., 2024 - aclanthology.org

Institution: KAIST, Cardiff University

Research Area: Hate Speech Annotation, Cross-Cultural Bias, NLP Ethics

Discipline: Natural Language Processing (NLP), Computational Social Science

Citations: 44