Social Media, Networks and Interactions

This theme involves applying computational methods to analyze large-scale social media data for understanding human behaviour, social interactions, and societal phenomena. Key areas of research that are also of practical value will include use of GenAI on social media, social media use in the workplace, digital literacy in social media use, and developing resilience to the impacts of social media on well-being.

Theme Leads

Atreyi KANKANHALLI, School of Computing
Natalie PANG, Faculty of Arts and Social Sciences

Key Areas of Focus & Collaboration

  • Creativity, authenticity, user experience, virality, ownership, ethics.
  • Knowledge dissemination, digital distraction, work-life balance, normative shifts.
  • Scamming, consequences for underprivileged groups.
  • Rejection, isolation, toxicity, addiction shadowbanning, interventions to promote resilience.
  • Fragmentation, echo chambers, campaigns and elections.
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