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FacebookʼS Latest Attempt To Address Vaccine Misinformation — And Why ItʼS Not Enough, Ana Santos Rutschman Nov 2020

FacebookʼS Latest Attempt To Address Vaccine Misinformation — And Why ItʼS Not Enough, Ana Santos Rutschman

All Faculty Scholarship

On October 13, 2020 Facebook announced the adoption of a series of measures to promote vaccine trust “while prohibiting ads with misinformation that could harm public health efforts.” In the post written by Kang-Xing Jin (head of health) and Rob Leathern (director of product management), the company explained that the new measures were designed with an emphasis on encouraging widespread use of this yearʼs flu vaccine, as well as in anticipation of potential COVID-19 vaccines becoming available in the near future.

The changes focus mainly on the establishment of a multiprong informational campaign about the seasonal flu vaccine, which includes …


Deploying Machine Learning For A Sustainable Future, Cary Coglianese May 2020

Deploying Machine Learning For A Sustainable Future, Cary Coglianese

All Faculty Scholarship

To meet the environmental challenges of a warming planet and an increasingly complex, high tech economy, government must become smarter about how it makes policies and deploys its limited resources. It specifically needs to build a robust capacity to analyze large volumes of environmental and economic data by using machine-learning algorithms to improve regulatory oversight, monitoring, and decision-making. Three challenges can be expected to drive the need for algorithmic environmental governance: more problems, less funding, and growing public demands. This paper explains why algorithmic governance will prove pivotal in meeting these challenges, but it also presents four likely obstacles that …