Social Computing (SOCCOMP)

Social Computing encompasses research at the intersection of social behavior and computing technologies, highlighting how digital innovations shape, and are shaped by, the ways people connect, collaborate, and engage with one another. This track welcomes submissions from diverse research methods and perspectives, inviting work that investigates the socio-technical dynamics of platforms, algorithms, and infrastructures that mediate social interaction, decision-making, and collective action. In line with the AMCIS 2026 theme, we particularly welcome papers that explore how emerging technologies at the convergence of artificial intelligence, automation, digital platforms, and data-centric innovations are transforming social computing. As AI-powered systems increasingly influence communication, reputation management, collaborative work, and content curation, critical questions arise about trust, privacy, equity, and well-being.

Track Chairs
Sara Moussawi, Carnegie Mellon University, [email protected]
Raquel Benbunan-Fich, Baruch College, City University of New York, [email protected]