509 citations · 1.1k across the 30 of their papers we have counts for
31 papers
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 +2
Large language models are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating h…
Towards hypergraph cognitive networks as feature-rich models of knowledge
Salvatore Citraro, Simon De Deyne, Massimo Stella +1
Semantic networks provide a useful tool to understand how related concepts are retrieved from memory. However, most current network approaches use pairwise links to represent memor…
Polarization and multiscale structural balance in signed networks
Szymon Talaga, Massimo Stella, Trevor James Swanson +1
Polarization, understood as a division into mutually hostile groups, is a common feature of social systems. It is studied in Structural Balance Theory (SBT) in terms of semicycles…
Cognitive modelling with multilayer networks: Insights, advancements and future challenges
Massimo Stella, Salvatore Citraro, Giulio Rossetti +3
The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Decades of psychological experiments have shown that conceptual a…
An information-theoretic approach to hypergraph psychometrics
Daniele Marinazzo, Jan Van Roozendaal, Fernando E. Rosas +5
Psychological network approaches propose to see symptoms or questionnaire items as interconnected nodes, with links between them reflecting pairwise statistical dependencies evalua…
Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns
Alfonso Semeraro, Salvatore Vilella, Giancarlo Ruffo +1
Since their announcement in November 2020, COVID-19 vaccines were largely debated by the press and social media. With most studies focusing on COVID-19 disinformation in social med…