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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Academic Article
Taylor & Francis OnlineD&S advisor Tarleton Gillespie writes "Algorithmically recognizable: Santorum’s Google problem, and Google’s Santorum problem". Abstract is below: Because information algorithms make judgments that can have powerful conseq... Read on Taylor & Francis OnlineJuly 2016 -
Resource
Data & SocietyThis primer articulates emerging concerns and tensions coming to the fore as social media platforms overtake traditional media forms, becoming the main way that news and information of cultural, economic, social and political significance is being produced and disseminated. Read moreMay 2016 -
Resource
Data & SocietyIn this background primer, D&S Research Analyst Laura Reed and D&S Founder danah boyd situate the current debate around the role of technology in the public sphere within a historical context. Read moreMay 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 -
op-ed
SlateD&S Researcher Tim Hwang and Samuel Woolley consider the larger trend toward automated politics and the likely future sophistication of automated politics and potential impacts on the public sphere in the era of social medi... Read on SlateMarch 2016