Massimo Stella
Orcid: 0000-0003-1810-9699
According to our database1,
Massimo Stella
authored at least 56 papers
between 2013 and 2024.
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Bibliography
2024
The "LLM World of Words" English free association norms generated by large language models.
CoRR, 2024
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters.
CoRR, 2024
PhDGPT: Introducing a psychometric and linguistic dataset about how large language models perceive graduate students and professors in psychology.
CoRR, 2024
Voices of rape: Cognitive networks link passive voice usage to psychological distress in online narratives.
Comput. Hum. Behav., 2024
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.
Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024
2023
EPJ Data Sci., December, 2023
Multiplex lexical networks and artificial intelligence unravel cognitive patterns of picture naming in people with anomic aphasia.
Cogn. Syst. Res., June, 2023
Who can help me? Reconstructing users' psychological journeys in depression-related social media interactions.
CoRR, 2023
Cognitive network science reveals bias in GPT-3, ChatGPT, and GPT-4 mirroring math anxiety in high-school students.
CoRR, 2023
Cognitive Network Science Reveals Bias in GPT-3, GPT-3.5 Turbo, and GPT-4 Mirroring Math Anxiety in High-School Students.
Big Data Cogn. Comput., 2023
2022
Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review.
Top. Cogn. Sci., 2022
Editorial: The Mental Lexicon, Blueprint of the Dictionaries of Tomorrow: Cognitive Aspects of the Lexicon.
Frontiers Artif. Intell., 2022
Natural Language Processing and Cognitive Networks Identify UK Insurers' Trends in Investor Day Transcripts.
Future Internet, 2022
Cognitive modelling with multilayer networks: Insights, advancements and future challenges.
CoRR, 2022
Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns.
CoRR, 2022
Feature-rich multiplex lexical networks reveal mental strategies of early language learning.
CoRR, 2022
Network psychometrics and cognitive network science open new ways for understanding math anxiety as a complex system.
J. Complex Networks, 2022
Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust.
Big Data Cogn. Comput., 2022
Big Data Cogn. Comput., 2022
Reviewing Theoretical and Generalizable Text Network Analysis: Forma Mentis Networks in Cognitive Science.
Proceedings of the NetSciLA 2022 Workshop "Networks and Learning Analytics: Addressing Educational Challenges" co-located with Learning Analytics and Knowledge (LAK 2022), 2022
2021
Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities.
CoRR, 2021
Network psychometrics and cognitive network science open new ways for detecting, understanding and tackling the complexity of math anxiety: A review.
CoRR, 2021
Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust.
CoRR, 2021
Mapping computational thinking mindsets between educational levels with cognitive network science.
J. Complex Networks, 2021
DASentimental: Detecting Depression, Anxiety, and Stress in Texts via Emotional Recall, Cognitive Networks, and Machine Learning.
Big Data Cogn. Comput., 2021
2020
Cognitive Network Science Reconstructs How Experts, News Outlets and Social Media Perceived the COVID-19 Pandemic.
Syst., 2020
Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth.
PeerJ Comput. Sci., 2020
Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media.
PeerJ Comput. Sci., 2020
Social discourse and reopening after COVID-19 A post-lockdown analysis of flickering emotions and trending stances in Italy.
First Monday, 2020
Unraveling the effects of multiscale network entanglement on disintegration of empirical systems.
CoRR, 2020
Revealing semantic and emotional structure of suicide notes with cognitive network science.
CoRR, 2020
Quantifying the Interplay of Semantics and Phonology During Failures of Word Retrieval by People With Aphasia Using a Multiplex Lexical Network.
Cogn. Sci., 2020
Big Data Cogn. Comput., 2020
2019
Games, 2019
CoRR, 2019
The multiplex structure of the mental lexicon influences picture naming in people with aphasia.
J. Complex Networks, 2019
Viability in Multiplex Lexical Networks and Machine Learning Characterizes Human Creativity.
Big Data Cogn. Comput., 2019
Modelling Early Word Acquisition through Multiplex Lexical Networks and Machine Learning.
Big Data Cogn. Comput., 2019
2018
Assessing the position tracking reliability of Carstens' AG500 and AG501 electromagnetic articulographs during constrained movements and speech tasks.
Speech Commun., 2018
Bots increase exposure to negative and inflammatory content in online social systems.
Proc. Natl. Acad. Sci. USA, 2018
Entropy, 2018
CoRR, 2018
Cohort and Rhyme Priming Emerge from the Multiplex Network Structure of the Mental Lexicon.
Complex., 2018
2017
J. Complex Networks, 2017
2016
CoRR, 2016
Proceedings of the Complex Networks VII, 2016
2014
Patterns in the English Language: Phonological Networks, Percolation and Assembly Models.
CoRR, 2014
Investigating the Phonetic Organisation of the English Language via Phonological Networks, Percolation and Markov Models.
Proceedings of the 2014 European Conference on Complex Systems, 2014
2013
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013