Handbook of Social Computing
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Handbook of Social Computing

Handbook of Social Computing

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About the Book

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.

Table of Contents:
Contents: Introduction – Social computing: panacea or abyss? xv Peter A. Gloor, Francesca Grippa, Andrea Fronzetti Colladon and Aleksandra Przegalinska PART I INTRODUCTION TO SOCIAL COMPUTING 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 PART II PREDICTION WITH ONLINE SOCIAL MEDIA 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 PART III MEASURING EMOTIONS 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 PART IV APPLICATIONS IN BUSINESS AND MARKETING 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 PART V MORE SUSTAINABILITY THOUGH SOCIAL COMPUTING 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 PART VI HUMAN INTERACTION WITH OTHER SPECIES 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 PART VII TEACHING AI FOR SOCIAL COMPUTING 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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Product Details
  • ISBN-13: 9781803921242
  • Publisher: Edward Elgar Publishing Ltd
  • Publisher Imprint: Edward Elgar Publishing Ltd
  • Height: 244 mm
  • No of Pages: 370
  • ISBN-10: 1803921242
  • Publisher Date: 22 Mar 2024
  • Binding: Hardback
  • Language: English
  • Width: 169 mm


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