Conflict and Multimodal Communication Social Research and Machine In
This book explores the use of technology to detect, predict and understand social cues, in order to analyze and prevent conflict. Traditional human sciences approaches are enriched with the latest developments in Social Signal Processing aimed at an autom
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Francesca D'Errico Isabella Poggi Alessandro Vinciarelli Laura Vincze Editors
Conflict and Multimodal Communication Social Research and Machine Intelligence
Computational Social Sciences A series of authored and edited monographs that utilize quantitative and computational methods to model, analyze, and interpret large-scale social phenomena. Titles within the series contain methods and practices that test and develop theories of complex social processes through bottom-up modeling of social interactions. Of particular interest is the study of the co-evolution of modern communication technology and social behavior and norms, in connection with emerging issues such as trust, risk, security, and privacy in novel socio-technical environments. Computational Social Sciences is explicitly transdisciplinary: quantitative methods from fields such as dynamical systems, artificial intelligence, network theory, agent-based modeling, and statistical mechanics are invoked and combined with state-of-the-art mining and analysis of large data sets to help us understand social agents, their interactions on and offline, and the effect of these interactions at the macro level. Topics include, but are not limited to social networks and media, dynamics of opinions, cultures and conflicts, socio-technical co-evolution, and social psychology. Computational Social Sciences will also publish monographs and selected edited contributions from specialized conferences and workshops specifically aimed at communicating new findings to a large transdisciplinary audience. A fundamental goal of the series is to provide a single forum within which commonalities and differences in the workings of this field may be discerned, hence leading to deeper insight and understanding. Series Editors Elisa Bertino Purdue University, West Lafayette, IN, USA
Larry Liebovitch Queens College, City University of New York, Flushing, NY, USA
Jacob Foster University of California, Los Angeles, CA, USA
Sorin A. Matei Purdue University, West Lafayette, IN, USA
Nigel Gilbert University of Surrey, Guildford, UK
Anton Nijholt University of Twente, Enschede, The Netherlands
Jennifer Golbeck University of Maryland, College Park, MD, USA James A. Kitts University of Massachusetts, Amherst, MA, USA
Robert Savit University of Michigan, Ann Arbor, MI, USA Alessandro Vinciarelli University of Glasgow, Scotland
More information about this series at http://www.springer.com/series/11784
Francesca D’Errico • Isabella Poggi Alessandro Vinciarelli • Laura Vincze Editors
Conflict and Multimodal Communication Social Research and Machine Intelligence
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Editors Francesca D’Errico Uninettuno University Roma, Italy
Isabella Poggi Universitá Roma Tre Roma, Italy
Alessandro Vinciarelli Department of Computing Science University of Glasgow Glasgow, UK
Laura Vincze Department of Education Sciences Università di Macerata Roma, Italy
Computational Social Sciences ISBN 978-3-319-14080-3 ISBN 978-3-319-14081-0 (eBook) DOI 10.1007/978-3-319-14081-0 Library of Congress Control Num
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