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https://doi.org/10.5281/zenodo...
Book . 2025
License: CC BY
Data sources: Sygma
ZENODO
Book . 2025
License: CC BY
Data sources: Datacite
ZENODO
Book . 2025
License: CC BY
Data sources: Datacite
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Narrative-based Understanding of Society

Authors: Steels, Luc; van Harmelen, Frank; Bateman, John; Blin, Inès; Fornetti, Alessandra; Santagiustina, Carlo Romano Marcello Alessandro; Mannino, Ilda; +11 Authors

Narrative-based Understanding of Society

Abstract

This book is the third open access volume in a series reporting results of the project. The firstvolume \url{https://zenodo.org/record/6666820} surveyed how the notion of understanding is being discussed and treated in other human-centred research fields, more specifically in social brain science, social psychology, linguistics, semiotics, economics, social history and medicine. The second volume \url{https://zenodo.org/records/14199174} explored these ideas with a number of concrete case studies that are all about understanding the world. The present volume contains further case studies that now focus on understanding society. It introduces more tools for narrative understanding, and then reports on experiments to understand society through demography, through social media analysis, and through art. It also reports examples of generating social narratives from knowledge graphs. 

Country
France
Keywords

Artificial intelligence, Systems thinking, [SHS.SOCIO] Humanities and Social Sciences/Sociology, Human behavior, Natural Language processing, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Digital culture, MUHAI project, Social psychology, Social networks, Cognitive modeling, Social influence, AI ethics, [STAT.AP] Statistics [stat]/Applications [stat.AP], [INFO.EIAH] Computer Science [cs]/Technology for Human Learning, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], societal transformation, Semiotics, Narrative theory, [STAT.ME] Statistics [stat]/Methodology [stat.ME], cognitive science, [INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI], socio-economics, Art analysis, Computational modeling, Social narratives, Societal structures, Ethical AI, Social media analysis, human-centric AI, digital humanities, AI-driven insights, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], technology in society, Decision-making processes, human interaction, [INFO] Computer Science [cs], Social sciences, social behavior, artificial intelligence applications, Cultural narratives, [SCCO.COMP] Cognitive science/Computer science, Societal trends, AI in society, Knowledge graphs, Machine learning, Narrative understanding, human-machine interaction, Narrative generation, AI impact, Methodology, Social history, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [SHS.LANGUE] Humanities and Social Sciences/Linguistics, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Narrative analysis, [STAT] Statistics [stat], [INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Storytelling and AI

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green