A Network-Based Analysis of International Refugee Migration Patterns Using GERGMs. - Katherine Abramski; Natallia Katenka; Marc Hutchison (COMPLEX NETWORKS (2), 2019)

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)

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 Unveils Affective Bias in GPT Models Mirroring Math Anxiety in High-School Students. - Katherine Abramski; Salvatore Citraro; Luigi Lombardi; Giulio Rossetti; Massimo Stella (HHAI, 2024)

LLM-Generated Word Association Norms. - Katherine Abramski; Clara Lavorati; Giulio Rossetti; Massimo Stella (HHAI, 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)

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)

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)

The "LLM World of Words" English free association norms generated by large language models. - Katherine Abramski; Riccardo Improta; Giulio Rossetti; Massimo Stella (CoRR, 2024)