Handbook of Social Computing

Edited by Peter A. Gloor, Francesca Grippa, Andrea Fronzetti Colladon and Aleksandra Przegalinska

in Books from Edward Elgar Publishing

Abstract: 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.

Keywords: Business and Management; Innovations and Technology; Sociology and Social Policy (search for similar items in EconPapers)
Date: 2024
ISBN: 9781803921242
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/view/book/9781803921259/9781803921259.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

Chapters in this book:

Ch 1 Network data visualization , pp 2-11

Walter Didimo, Giuseppe Liotta and Fabrizio Montecchiani

Ch 2 Exponential random graph models: explaining strategic patterns of collaboration between artists in the music industry with data from Spotify , pp 12-26

Claudia Zucca

Ch 3 Knowing what you get when seeking semantic similarity: exploring classic NLP method biases , pp 27-46

Johanne Saint-Charles, Pierre Mongeau and Louis Renaud-Desjardins

Ch 4 Chasing the Black Swan in cryptocurrency markets by modeling cascading dynamics in communication networks , pp 48-73

Christian Schwendner, Vanessa Kremer, Julian Gierenz, Hasbi Sevim, Jan-Marc Siebenlist and Dilber Güclü

Ch 5 Presidential communications on Twitter during the COVID-19 pandemic: mediating polarization and trust, moderating mobility , pp 74-99

Mikhail Oet, Tuomas Takko and Xiaomu Zhou

Ch 6 COVID-19 Twitter discussions in social media: disinformation, topical complexity, and health impacts , pp 100-140

Mikhail Oet, Xiaomu Zhou, Kuiming Zhao and Tuomas Takko

Ch 7 Predicting YouTube success through facial emotion recognition of video thumbnails , pp 142-158

Peter-Duy-Linh Bui, Martin Feldges, Max Liebig and Fabian Weiland

Ch 8 Do angry musicians play better? Measuring emotions of jazz musicians through body sensors and facial emotion detection , pp 159-172

Lee J. Morgan and Peter A. Gloor

Ch 9 Using plants as biosensors to measure the emotions of jazz musicians , pp 173-188

Anushka Bhave, Fritz K. Renold and Peter A. Gloor

Ch 10 How does congruence between customer and brand personality influence the success of a company? , pp 190-215

Tobias Olbrück, Peter A. Gloor, Ludovica Segneri and Andrea Fronzetti Colladon

Ch 11 Netnography 2.0: a new approach to examine crowds on social media , pp 216-233

Mathias Efinger, Xisa Lina Eich, Marius Heck, Dung Phuong Nguyen, Halil Ibrahim Özlü, Teresa Heyder and Peter A. Gloor

Ch 12 Crowdfunding success: how campaign language can predict funding , pp 234-248

Andrea Fronzetti Colladon, Julia Gluesing, Francesca Greco, Francesca Grippa and Ken Riopelle

Ch 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 , pp 249-263

Michael Beier and Katrin Schillo

Ch 14 Creating a systematic ESG (Environmental Social Governance) scoring system using social network analysis and machine learning for more sustainable company practices , pp 265-278

Aarav Patel and Peter A. Gloor

Ch 15 Two chambers, no silver bullets: the growing polarity of climate change discourse , pp 279-292

Jacek Mańko and Dariusz Jemielniak

Ch 16 Plants as biosensors: tomato plants’ reaction to human voices , pp 294-309

Patrick Fuchs, Rebecca von der Grün, Camila Ines Maslatón and Peter A. Gloor

Ch 17 Prototyping a mobile app which detects dogs’ emotions based on their body posture: a design science approach , pp 310-328

Alina Hafner, Thomas M. Oliver, Benjamin B. Paßberger and Peter A. Gloor

Ch 18 Say ‘yes’ to ‘no-code’ solutions: how to teach low-code and no-code competencies to non-IT students , pp 330-342

Monika Sońta and Aleksandra Przegalinska

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eebook:21469

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this book

More books in Books from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().