Collective Memory

Collective memory research explores how information is stored, shared, and evolves within and across groups, encompassing both human societies and artificial systems. Current investigations focus on analyzing the dynamics of collective memory across diverse contexts, including cultural narratives (e.g., fairy tales), historical events (e.g., the Arab Spring), and the impact of algorithmic biases in datasets. Researchers employ various methods, such as computational linguistics, neural network architectures (including memory-augmented models), and system dynamics modeling, to understand these processes. This work has implications for fields ranging from social sciences and history to artificial intelligence, informing our understanding of cultural transmission, bias mitigation, and the development of more robust and equitable AI systems.