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Bridging Systems: Open Problems for Countering Destructive Divisiveness Across Ranking, Recommenders, and Governance | Knight First Amendment Institute

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A project studying algorithmic amplification and distortion, and exploring ways to minimize harmful amplifying or distorting effects Divisiveness appears to be increasing in much of the world, leading to concern about political violence and a decreasing capacity to collaboratively address large-scale societal challenges. In this paper, we aim to articulate an interdisciplinary research and practice area focused on what we call bridging systems: systems that increase mutual understanding and trust across divides, creating space for productive conflict, deliberation, or cooperation. We give examples of bridging systems across three domains: recommender systems on social media, collective response systems, and human-facilitated group deliberation. We argue that these examples can be more meaningfully understood as processes for attention allocation (as opposed to “content distribution” or “amplification”) and develop a corresponding framework to explore similarities—and opportunities for

Abstract Divisiveness appears to be increasing in much of the world, leading to concern about political violence and a decreasing capacity to collaboratively address large-scale societal challenges. In this paper, we aim to articulate an interdisciplinary research and practice area focused on what we call bridging systems: systems that increase mutual understanding and trust across divides, creating space for productive conflict, deliberation, or cooperation. We give examples of bridging systems across three domains: recommender systems on social media, collective response systems, and human-f

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