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Machine learning has delivered amazing results, but there also have been failures, ranging from the harmless to potentially deadly. New work suggests that common assumptions about the cause behind these […]
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Misinformation about the coronavirus pandemic continues to create confusion and contention along scientific and political lines. In this conversation, Berkeley faculty will help us understand the nature of misinformation in […]
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The largest collection of public internet censorship data ever compiled shows that even citizens of what are considered the worldâs freest countries arenât safe from internet censorship. The University of […]
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Itâs no secret that machine-learning models tuned and tweaked to near-perfect performance in the lab often fail in real settings. This is typically put down to a mismatch between the […]
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JQD:DM is an open access, peer-reviewed scholarly journal hosted on the University of Zurich’s HOPE platform. All articles will be freely available online immediately upon publication and we plan no […]
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Do digital platforms function as stealth media, a system that enables the deliberate operations of undisclosed political campaignsâ imperceptible targeting and furtive messaging? This talk presents empirical research on covert […]
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During the 2016 primary season, Trump campaign staffer Matt Braynard had an unusual political strategy. Instead of targeting Republican base votersâthe ones who show up for every electionâhe focused on […]