Handbook of Social Computing


Handbook of Social Computing

9781803921242 Edward Elgar Publishing
Edited by Peter A. Gloor, Research Scientist, MIT Center for Collective Intelligence, Cambridge, Francesca Grippa, Professor of Business Strategy, College of Professional Studies, Northeastern University, US, Andrea Fronzetti Colladon, Associate Professor of Business Management and Analytics, University of Perugia, Italy and Aleksandra Przegalinska, Associate Professor and Vice-Rector, Kozminski University, Poland
Publication Date: 2024 ISBN: 978 1 80392 124 2 Extent: 370 pp
Responding to the increasingly blurred boundaries between humans and technology, this innovative Handbook reveals the intricate patterns of interaction between individuals, machines, and organizations. Using cutting-edge data and analysis, expert contributors provide new insight into the rapidly growing digitalization of society.

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Responding to the increasingly blurred boundaries between humans and technology, this innovative Handbook reveals the intricate patterns of interaction between individuals, machines, organizations and beyond, even including AI-extended human interaction with animals and plants. Using cutting-edge data and analysis, expert contributors provide new insight into the rapidly growing digitalization of society.

Chapters span disciplinary boundaries, covering both computer science and AI, as well as sociology and psychology, to encompass all aspects of social computing as an emerging field. They also examine the complexity of social networks and algorithmic decision-making whilst drawing on case studies from diverse industries and exploring important issues, such as the ethical implications of AI, data privacy regulation, and safe data sharing. Ultimately, this Handbook illustrates the diverse ways in which digital technologies can be used to analyze social behavior, recognise individual and group interaction patterns, and improve daily life.

Providing a comprehensive overview of the latest developments in social computing, this Handbook will be an essential read for students and scholars of human dynamics, social network analysis, and sociology. It will also be an invaluable guide for professionals seeking a deeper understanding of how technology can be used to analyze social dynamics.
Critical Acclaim
‘An illuminating dive into social computing that unravels the future of interactions with AI, NLP, and emotion recognition. This engaging read explores new approaches, including communicating with animals and plants. Cutting-edge insights into our interconnected world, from fake news to ethical AI.’
– Kai Fischbach, University of Bamberg, Germany

‘This Handbook offers a refreshing view of how social computing can help us, instead of hurt or replace us. Written by some of the world''s leading experts in the field, it is a great re-imagining of organizational management.’
– Alex Pentland, Massachusetts Institute of Technology, US
Contributors include: Anushka Bhave, Michael Beier, Peter-Duy-Linh Bui, Walter Didimo, Mathias Efinger, Xisa Lina Eich, Martin Feldges, Andrea Fronzetti Colladon, Patrick Fuchs, Julian Gierenz, Peter A. Gloor, Julia Gluesing, Francesca Greco, Francesca Grippa, Dilber Güclü, Alina Hafner, Marius Heck, Teresa Heyder, Dariusz Jemielniak, Vanessa Kremer, Max Liebig, Giuseppe Liotta, Jacek Mańko, Camila Ines Maslatón, Pierre Mongeau, Fabrizio Montecchiani, Lee J. Morgan, Dung Phuong Nguyen, Mikhail Oet, Tobias Olbrüueck, Thomas M. Oliver, Halil Ibrahim Özlü, Benjamin B. Paßberger, Aarav Patel, Aleksandra Przegalinska, Louis Renaud-Desjardins, Fritz K. Renold Shanti, Ken Riopelle,Monika Sonta, Johanne Saint-Charles, Katrin Schillo, Christian Schwender, Ludovica Segneri, Hasbi Sevim, Jan-Marc Siebenlist, Tuomas Takko, Rebecca von der Grüuen, Fabian Weiland, Claudia Zucca, Kuiming Zhao, Xiaomu Zhou

Introduction – Social computing: panacea or abyss? xv
Peter A. Gloor, Francesca Grippa, Andrea Fronzetti Colladon and Aleksandra Przegalinska

1 Network data visualization 2
Walter Didimo, Giuseppe Liotta and Fabrizio Montecchiani
2 Exponential random graph models: explaining strategic patterns of
collaboration between artists in the music industry with data from Spotify 12
Claudia Zucca
3 Knowing what you get when seeking semantic similarity: exploring
classic NLP method biases 27
Johanne Saint-Charles, Pierre Mongeau and Louis Renaud-Desjardins

4 Chasing the Black Swan in cryptocurrency markets by modeling
cascading dynamics in communication networks 48
Christian Schwendner, Vanessa Kremer, Julian Gierenz, Hasbi Sevim,
Jan-Marc Siebenlist and Dilber Güclü
5 Presidential communications on Twitter during the COVID-19
pandemic: mediating polarization and trust, moderating mobility 74
Mikhail Oet, Tuomas Takko and Xiaomu Zhou
6 COVID-19 Twitter discussions in social media: disinformation, topical
complexity, and health impacts 100
Mikhail Oet, Xiaomu Zhou, Kuiming Zhao and Tuomas Takko

7 Predicting YouTube success through facial emotion recognition of
video thumbnails 141
Peter-Duy-Linh Bui, Martin Feldges, Max Liebig and Fabian Weiland
8 Do angry musicians play better? Measuring emotions of jazz musicians
through body sensors and facial emotion detection 158
Lee J. Morgan and Peter A. Gloor
9 Using plants as biosensors to measure the emotions of jazz musicians 172
Anushka Bhave, Fritz K. Renold and Peter A. Gloor

10 How does congruence between customer and brand personality
influence the success of a company? 189
Tobias Olbrück, Peter A. Gloor, Ludovica Segneri and Andrea Fronzetti Colladon
11 Netnography 2.0: a new approach to examine crowds on social media 215
Mathias Efinger, Xisa Lina Eich, Marius Heck, Dung Phuong Nguyen, Halil
Ibrahim .zlü, Teresa Heyder and Peter A. Gloor
12 Crowdfunding success: how campaign language can predict funding 232
Andrea Fronzetti Colladon, Julia Gluesing, Francesca Greco, Francesca
Grippa and Ken Riopelle
13 Design, content and application of consent banners on plastic
surgeon websites: derivation of a typology and discussion of possible
implications for data analytics and AI applications 247
Michael Beier and Katrin Schillo

14 Creating a systematic ESG (Environmental Social Governance) scoring
system using social network analysis and machine learning for more
sustainable company practices 263
Aarav Patel and Peter A. Gloor
15 Two chambers, no silver bullets: the growing polarity of climate change
discourse 277
Jacek Mańko and Dariusz Jemielniak

16 Plants as biosensors: tomato plants’ reaction to human voices 292
Patrick Fuchs, Rebecca von der Grün, Camila Ines Maslaton and Peter A. Gloor
17 Prototyping a mobile app which detects dogs’ emotions based on their
body posture: a design science approach 308
Alina Hafner, Thomas M. Oliver, Benjamin B. Paßberger and Peter A. Gloor

18 Say ‘yes’ to ‘no-code’ solutions: how to teach low-code and no-code
competencies to non-IT students 328
Monika Sońta and Aleksandra Przegalińska-Skierkowska
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