4 papers
Natural Language Processing Psychometrics
Edoardo Sebastiano De Duro, Emma Franchino, Massimo Stella
Natural Language Processing (NLP) models predicting mental health outcomes rarely specify what they measure: contextual knowledge, emotional content, or syntactic structure. NLP Ps…
The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text
Sebastiano Franchini, Alexis Carrillo, Edoardo Sebastiano De Duro +3
We introduce Target-Event-Agent Networks (TEA Nets) as a computational framework to extract subjects (``Agents"), verbs (``Events"), and objects (``Targets") from texts. Grounded i…
Measuring and identifying factors of individuals' trust in Large Language Models
Edoardo Sebastiano De Duro, Giuseppe Alessandro Veltri, Hudson Golino +1
Large Language Models (LLMs) can engage in human-looking conversational exchanges. Although conversations can elicit trust between users and LLMs, scarce empirical research has exa…
PhDGPT: Introducing a psychometric and linguistic dataset about how large language models perceive graduate students and professors in psychology
Edoardo Sebastiano De Duro, Enrique Taietta, Riccardo Improta +1
Machine psychology aims to reconstruct the mindset of Large Language Models (LLMs), i.e. how these artificial intelligences perceive and associate ideas. This work introduces PhDGP…