Library
Use our library to explore Data & Society's original empirical research and read our expert commentary. Sort by media type, or select one or more topic categories to begin browsing.
Publisher
Title
Date
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podcast
Data & SocietyA new podcast series from Data & Society and Public Books that explores the past, present, and future of data. Read moreMay 2021 -
Longform
Data & SocietyHow can we do less harm to communities of color with the technology we create? In their new paper Advancing Racial Literacy in Tech, Data & Society 2018-19 Fellows Jessie Daniels and Mutale Nkonde and 2017-18 Fellow Dara... Read moreMay 2019 -
podcast
video
DatabitesIn Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination... Read moreMay 2018 -
blog post
Pointsdanah boyd's remarks from her keynote at the 2017 Strata Data Conference in New York City explore media manipulation, data security, and system vulnerabilities. Read on PointsOctober 2017 -
blog post
PointsD&S advisor Baratunde Thurston details his exploration of The Glass Room exhibit. "I want to see The Glass Room everywhere there is an Apple Store…And anyone founding or working for a tech company should have to prove th... Read on PointsDecember 2016 -
report
Data & Society"Discriminating Tastes" examines how bias may creep into evaluations of Uber drivers through consumer-sourced rating systems. Read moreOctober 2016 -
report
Data & SocietyD&S researchers Alex Rosenblat and Tim Hwang explore "the significant role of worker motivations and regional political environments on the social and economic outcomes of automation" in this report. Read moreOctober 2016 -
Longform
ProPublicaD&S affiliate Surya Mattu, with Julia Angwin, Terry Parris Jr., and Seongtaek Lim, continue the Black Box series. Depending on what data they are trained on, machines can “learn” to be biased. That’s what happened in the f... Read on ProPublicaOctober 2016 -
blog post
CultureDigitally.orgD&S Advisor Tarleton Gillespie responds to Gizmodo's recent piece alleging bias in Facebook's Trending Topics list. He argues that information algorithms like the ones used to identify “trends” on Facebook do not work alone... Read on CultureDigitally.orgMay 2016 -
podcast
Radio NZ"Seeta Gangadharan is a Senior Research Fellow at the Open Technology Institute in Washington DC [and a D&S fellow]. She discusses the automated systems, known as algorithms, that are replacing human discretion more and mor... Read on Radio NZFebruary 2015