#943: Digital Unfreezing: A Framework for Epistemic Flexibility in Digital Contexts

This paper introduces Digital Unfreezing, a framework for modeling belief revision in algorithmically mediated environments. Extending Kruglanski & Webster's (1996) Need for Cognitive Closure theory, we conceptualize epistemic change as an iterative cycle of dissolving → reseizing → refreezing. Drawing on research in epistemic emotions, metacognition, and knowledge building, the framework identifies cognitive, emotional, social, and digital dimensions that shape belief revision in contexts where large language models and algorithmic curation compress opportunities for reflective doubt. Digital Unfreezing reframes epistemic doubt as a productive, scaffoldable process.