Abstract
A dominant narrative of the past decade is that algorithms contribute to a misinformed and segregated society. Perhaps paradoxically, algorithms are often sought as solutions to such problems. We describe a significant emerging trend away from this techno-solutionist approach that seeks to create and understand a new paradigm: a productive interplay between algorithms and people. Two relevant test cases are being explored in our region: The first addresses a new framework to tackle misinformation by assisting fact-checkers with computational methods, and the second seeks new models to understand how search engines deliver personalized search results when little or no algorithmic personalization exists.
Type
Publication
Communications of the ACM
