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.
Nieman LabSam Hinds and Janet Haven discuss how we will grapple with trust of text-generating AI tools. Read on Nieman LabDecember 2020
KQEDA short video explainer on YouTube's algorithm, created in partnership with PBS's KQED Above the Noise series. Read on KQEDJune 2019
KQEDA short video explainer on the threats posed by deepfakes, created in collaboration with PBS's KQED Above the Noise. Read on KQEDJune 2019
Council on Foreign RelationsRobyn Caplan participates in a panel on automated content moderation. Read on Council on Foreign RelationsNovember 2018
Data & SocietyNew report by Robyn Caplan illustrates the organizational contexts of three types of content moderation strategies by drawing from interviews with 10 major digital platforms. Read moreNovember 2018
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
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