Selected article for: "mathematical model and simple mathematical model"

Author: Illari, L.; Restrepo, N. Johnson; Leahy, R.; Velasquez, N.; Lupu, Y.; Johnson, N. F.
Title: Losing the battle over best-science guidance early in a crisis: Covid-19 and beyond
  • Cord-id: hoks6k38
  • Document date: 2021_10_18
  • ID: hoks6k38
    Snippet: Ensuring widespread public exposure to best-science guidance is crucial in a crisis, e.g. Covid-19, climate change. Mapping the emitter-receiver dynamics of Covid-19 guidance among 87 million Facebook users, we uncover a multi-sided battle over exposure that gets lost well before the pandemic's official announcement. By the time Covid-19 vaccines emerge, the mainstream majority -- including many parenting communities -- have moved even closer to more extreme communities. The hidden heterogeneity
    Document: Ensuring widespread public exposure to best-science guidance is crucial in a crisis, e.g. Covid-19, climate change. Mapping the emitter-receiver dynamics of Covid-19 guidance among 87 million Facebook users, we uncover a multi-sided battle over exposure that gets lost well before the pandemic's official announcement. By the time Covid-19 vaccines emerge, the mainstream majority -- including many parenting communities -- have moved even closer to more extreme communities. The hidden heterogeneity explains why Facebook's own promotion of best-science guidance also missed key audience segments. A simple mathematical model reproduces these exposure dynamics at the system level. Our findings can be used to tailor guidance at scale while accounting for individual diversity, and to predict tipping point behavior and system-level responses to interventions.

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