"filter bubbles". This is a particularly prescient concern in the context of extremist content online; these algorithms may …Policymakers have recently expressed concerns over the role of recommendation algorithms and their role in forming …

As recommendation algorithms have been increasingly applied to content personalization services, scholars are voicing … concern about the negative impacts of these algorithms, for instance filter bubbles and ideological polarization. This … research attempts to analyze the various factors influencing users' continuance intention of recommendation algorithms through …

Algorithm-based decision support systems play an increasingly important role in decisions involving exploration tasks … the willingness of participants to follow the advice of a reinforcement learning algorithm depends on the fit between … their own exploration preferences and the algorithm's advice. We vary the weight that the algorithm places on exploration …