Digital communities and collective behaviour. Data, personality, and polarisation in the age of Artificial Intelligence - Brossura

Stracqualursi, Luisa; Agati, Patrizia

Brossura

ISBN 13: 9791254777152

Casa editrice: Bologna University Press, 2025

Riassunto

This monograph offers a clear and comprehensive introduction to the study of digital communities in the age of AI. It brings together methods from computational social science, statistics, and machine learning, showing how digital traces can be collected, interpreted, and contextualised without losing sight of ethical constraints or data limitations. The authors guide the reader through the practical challenges of working with online data – biases, platform constraints, and the “post-API era” – while providing a coherent framework for analysing collective behaviour. Techniques ranging from network analysis to distributional modelling, topic extraction, and large language models are presented with clarity, highlighting both their potential and their limitations. A distinctive contribution of the book is the integration of personality modelling with community structure and polarisation dynamics. By linking individual traits to collective patterns, the monograph illustrates how different analytical levels can be connected to understand why communities form, diverge, or radicalise. Accessible yet rigorous, this volume is suited for graduate students, researchers, and practitioners seeking both methodological grounding and practical guidance for studying digital behaviour. It serves as a bridge between established statistical approaches and emerging AI-based methods, encouraging critical, responsible, and reproducible research. Luisa Stracqualursi is an Assistant Professor of Statistics at the University of Bologna. Her research lies at the intersection of natural language processing, machine learning, and computational social science. Her work focuses on digital communities, reviewer behaviour, personality-trait prediction, and polarisation dynamics, integrating statistical modelling with modern artificial intelligence techniques. She has contributed to numerous international conferences and journals, developing methodological frameworks that combine data science, interpretability, and computational social science. Patrizia Agati is an Associate Professor of Statistics at the University of Bologna. Her research focuses on statistical modelling, machine learning, and AI-based methods for text analysis, with contributions to Bayesian model averaging, classification trees, random forests, Bayesian networks, and mixture models. Her work has been presented at international conferences and published in leading journals, advancing methodologies that combine rigorous statistical foundations with modern data-driven techniques.

Dettagli dell'edizione

• Editore: Bologna University Press
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9791254777152
• Rilegatura: Copertina flessibile
• Numero di pagine: 120
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile