Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery

  title={Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery},
  author={Jason Portenoy and Marissa Radensky and Jevin D. West and Eric Horvitz and Daniel S. Weld and Tom Hope},
  journal={CHI Conference on Human Factors in Computing Systems},
Isolated silos of scientific research and the growing challenge of information overload limit awareness across the literature and hinder innovation. Algorithmic curation and recommendation, which often prioritize relevance, can further reinforce these informational “filter bubbles.” In response, we describe Bridger, a system for facilitating discovery of scholars and their work. We construct a faceted representation of authors with information gleaned from their papers and inferred author… 

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