Handbook of Social Computing

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, Professor of Business Leadership and Intelligence, Department of Civil, Computer Science and Aeronautical Technologies Engineering, Roma Tre University, Italy and Aleksandra Przegalinska, Associate Professor and Vice-Rector, Kozminski University, Poland

‘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.’

• Contents:Introduction – Social computing: panacea or abyss? xvPeter A. Gloor, Francesca Grippa, Andrea Fronzetti Colladon and Aleksandra PrzegalinskaPART I INTRODUCTION TO SOCIAL COMPUTING1 Network data visualization 2Walter Didimo, Giuseppe Liotta and Fabrizio Montecchiani2 Exponential random graph models: explaining strategic patterns ofcollaboration between artists in the music industry with data from Spotify 12Claudia Zucca3 Knowing what you get when seeking semantic similarity: exploringclassic NLP method biases 27Johanne Saint-Charles, Pierre Mongeau and Louis Renaud-DesjardinsPART II PREDICTION WITH ONLINE SOCIAL MEDIA4 Chasing the Black Swan in cryptocurrency markets by modelingcascading dynamics in communication networks 48Christian Schwendner, Vanessa Kremer, Julian Gierenz, Hasbi Sevim,Jan-Marc Siebenlist and Dilber Güclü5 Presidential communications on Twitter during the COVID-19pandemic: mediating polarization and trust, moderating mobility 74Mikhail Oet, Tuomas Takko and Xiaomu Zhou6 COVID-19 Twitter discussions in social media: disinformation, topicalcomplexity, and health impacts 100Mikhail Oet, Xiaomu Zhou, Kuiming Zhao and Tuomas TakkoPART III MEASURING EMOTIONS7 Predicting YouTube success through facial emotion recognition ofvideo thumbnails 141Peter-Duy-Linh Bui, Martin Feldges, Max Liebig and Fabian Weiland8 Do angry musicians play better? Measuring emotions of jazz musiciansthrough body sensors and facial emotion detection 158Lee J. Morgan and Peter A. Gloor9 Using plants as biosensors to measure the emotions of jazz musicians 172Anushka Bhave, Fritz K. Renold and Peter A. GloorPART IV APPLICATIONS IN BUSINESS AND MARKETING10 How does congruence between customer and brand personalityinfluence the success of a company? 189Tobias Olbrück, Peter A. Gloor, Ludovica Segneri and Andrea Fronzetti Colladon11 Netnography 2.0: a new approach to examine crowds on social media 215Mathias Efinger, Xisa Lina Eich, Marius Heck, Dung Phuong Nguyen, HalilIbrahim .zlü, Teresa Heyder and Peter A. Gloor12 Crowdfunding success: how campaign language can predict funding 232Andrea Fronzetti Colladon, Julia Gluesing, Francesca Greco, FrancescaGrippa and Ken Riopelle13 Design, content and application of consent banners on plasticsurgeon websites: derivation of a typology and discussion of possibleimplications for data analytics and AI applications 247Michael Beier and Katrin SchilloPART V MORE SUSTAINABILITY THOUGH SOCIAL COMPUTING14 Creating a systematic ESG (Environmental Social Governance) scoringsystem using social network analysis and machine learning for moresustainable company practices 263Aarav Patel and Peter A. Gloor15 Two chambers, no silver bullets: the growing polarity of climate changediscourse 277Jacek Mańko and Dariusz JemielniakPART VI HUMAN INTERACTION WITH OTHER SPECIES16 Plants as biosensors: tomato plants’ reaction to human voices 292Patrick Fuchs, Rebecca von der Grün, Camila Ines Maslaton and Peter A. Gloor17 Prototyping a mobile app which detects dogs’ emotions based on theirbody posture: a design science approach 308Alina Hafner, Thomas M. Oliver, Benjamin B. Paßberger and Peter A. GloorPART VII TEACHING AI FOR SOCIAL COMPUTING18 Say ‘yes’ to ‘no-code’ solutions: how to teach low-code and no-codecompetencies to non-IT students 328Monika Sońta and Aleksandra Przegalińska-Skierkowska