UID:
almahu_9949708238202882
Format:
1 online resource (370 pages)
ISBN:
9781803921259 (e-book)
Content:
"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"--
Note:
Contents: Introduction - social computing: Panacea or abyss? / Peter A. Gloor, Francesca Grippa, Andrea Fronzetti Colladon and Aleksandra Przegalinska -- Part I. Introduction to social computing -- 1. Network data visualization / 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 / Claudia Zucca -- 3. Knowing what you get when seeking semantic similarity: Exploring classic nlp method biases / 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 / 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 / Mikhail Oet, Tuomas Takko and Xiaomu Zhou -- 6. Covid-19 twitter discussions in social media: Disinformation, topical complexity, and health impacts / Mikhail Oet, Xiaomu Zhou, Kuiming Zhao and Tuomas Takko -- Part III. Measuring emotions -- 7. Predicting youtube success through facial emotion recognition of video thumbnails / 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 / Lee J. Morgan and Peter A. Gloor -- 9. Using plants as biosensors to measure the emotions of jazz musicians / 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? / Tobias Olbrück, Peter A. Gloor, Ludovica Segneri and Andrea Fronzetti Colladon -- 11. Netnography 2.0: A new approach to examine crowds on social media / 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 / 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 / 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 / Aarav Patel and Peter A. Gloor -- 15. Two chambers, no silver bullets: The growing polarity of climate change discourse / Jacek Manko and Dariusz Jemielniak -- Part VI. Human interaction with other species -- 16. Plants as biosensors: Tomato plants' reaction to human voices / 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 / 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 / Monika Sońta and Aleksandra Przegalinska-Skierkowska.
Additional Edition:
ISBN 9781803921242 (hardback)
Language:
English
Keywords:
Electronic books.
;
Electronic books.
URL:
https://www.elgaronline.com/view/book/9781803921259/9781803921259.xml
URL:
https://www.elgaronline.com/view/book/9781803921259/9781803921259.xml
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