Katherine Abramski

According to our database, Katherine Abramski authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

The role of System 1 and System 2 semantic memory structure in human and LLM biases.

Katherine Abramski, Giulio Rossetti, Massimo Stella

CoRR, April, 2026

2025

A word association network methodology for evaluating implicit biases in LLMs compared to humans.

Katherine Abramski, Giulio Rossetti, Massimo Stella

CoRR, October, 2025

2024

The "LLM World of Words" English free association norms generated by large language models.

Katherine Abramski, Riccardo Improta, Giulio Rossetti, Massimo Stella

CoRR, 2024

Y Social: an LLM-powered Social Media Digital Twin.

Giulio Rossetti, Massimo Stella, Rémy Cazabet, Katherine Abramski, Erica Cau, Salvatore Citraro, Andrea Failla, Riccardo Improta, Virginia Morini, Valentina Pansanella

CoRR, 2024

From Perils to Possibilities: Understanding how Human (and AI) Biases affect Online Fora.

Virginia Morini, Valentina Pansanella, Katherine Abramski, Erica Cau, Andrea Failla, Salvatore Citraro, Giulio Rossetti

CoRR, 2024

Voices of rape: Cognitive networks link passive voice usage to psychological distress in online narratives.

Katherine Abramski, Luciana Ciringione, Giulio Rossetti, Massimo Stella

Comput. Hum. Behav., 2024

LLM-Generated Word Association Norms.

Katherine Abramski, Clara Lavorati, Giulio Rossetti, Massimo Stella

Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

Cognitive Network Science Unveils Affective Bias in GPT Models Mirroring Math Anxiety in High-School Students.

Katherine Abramski, Salvatore Citraro, Luigi Lombardi, Giulio Rossetti, Massimo Stella

Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

2023

Cognitive network science reveals bias in GPT-3, ChatGPT, and GPT-4 mirroring math anxiety in high-school students.

Katherine Abramski, Salvatore Citraro, Luigi Lombardi, Giulio Rossetti, Massimo Stella

CoRR, 2023

Cognitive Network Science Reveals Bias in GPT-3, GPT-3.5 Turbo, and GPT-4 Mirroring Math Anxiety in High-School Students.

Katherine Abramski, Salvatore Citraro, Luigi Lombardi, Giulio Rossetti, Massimo Stella

Big Data Cogn. Comput., 2023

2019

A Network-Based Analysis of International Refugee Migration Patterns Using GERGMs.

Katherine Abramski, Natallia Katenka, Marc Hutchison

Proceedings of the Complex Networks and Their Applications VIII, 2019