Handbook of Social Computing

Front Matter
Copyright
Contents
Contributors
Introduction – Social computing: panacea or abyss?
PART I INTRODUCTION TO SOCIAL COMPUTING
1. Network data visualization
2. Exponential random graph models: explaining strategic patterns of collaboration between artists in the music industry with data from Spotify
3. Knowing what you get when seeking semantic similarity: exploring classic NLP method biases
PART II PREDICTION WITH ONLINE SOCIAL MEDIA
4. Chasing the Black Swan in cryptocurrency markets by modeling cascading dynamics in communication networks
5. Presidential communications on Twitter during the COVID-19 pandemic: mediating polarization and trust, moderating mobility
6. COVID-19 Twitter discussions in social media: disinformation, topical complexity, and health impacts
PART III MEASURING EMOTIONS
7. Predicting YouTube success through facial emotion recognition of video thumbnails
8. Do angry musicians play better? Measuring emotions of jazz musicians through body sensors and facial emotion detection
9. Using plants as biosensors to measure the emotions of jazz musicians
PART IV APPLICATIONS IN BUSINESS AND MARKETING
10. How does congruence between customer and brand personality influence the success of a company?
11. Netnography 2.0: a new approach to examine crowds on social media
12. Crowdfunding success: how campaign language can predict funding
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
PART V MORE SUSTAINABILITY THROUGH SOCIAL COMPUTING
14. Creating a systematic ESG (Environmental Social Governance) scoring system using social network analysis and machine learning for more sustainable company practices
15. Two chambers, no silver bullets: the growing polarity of climate change discourse
PART VI HUMAN INTERACTION WITH OTHER SPECIES
16. Plants as biosensors: tomato plants’ reaction to human voices
17. Prototyping a mobile app which detects dogs’ emotions based on their body posture: a design science approach
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
Index