Monica Lee is a computational sociologist. She earned her PhD in sociology from the
University of Chicago and has published works on quantitative methods for measuring culture, text mining, musical taste, graph mining, challenges and limitations of big data, and ethics & morality in journals like PLoS ONE, Sociological Theory, and the American Journal of Cultural Sociology. She currently leads the Core Data Science - Politics & Society team at Facebook. This group of scientists perform basic research on political behavior on social media, define and model election related social media abuses, and design products that encourage healthy civic discourse and reduce the prevalence of platform abuse.
March 20, 2019, 2 p.m.
· Room CC9, Level -1 (Conference Centre)
Last year, Facebook mobilised a massive cross-company effort to protect its platforms from abuse during the 2018 US midterm elections. In this talk, Facebook will provide a behind-the-scenes look at their efforts, which included developing new graph modeling techniques to identify coordinated attempts at manipulation, new systems to combat voter suppression in real-time, and new transparency requirements to bring more authenticity to political speech. They will also outline some of the tough challenges and open research questions that remain as they take on increasingly sophisticated adversaries and try to scale these civic integrity measures to elections around the world.
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