Updates | 05.31.17

5.24: mischief; secret moderation; snake oil

updates and ideas from the D&S community and beyond

New Listen episode: Whitney Phillips and Ryan M. Milner on their new book The Ambivalent Internet: Mischief, Oddity, and Antagonism Online

Around the Institute

Open position at D&S!

We are seeking a Director of Finance & Administration. We’re looking for a strong strategic thinker who is committed to supporting the mission and values of the organization. If this is you, apply by June 2!

Points: Facebook can’t moderate in secret anymore.

“A single company — in fact a small team within that single company — have anointed themselves the arbiters of what is healthy, fair, harmful, obscene, risky, racist, artistic, intentional, and lewd.” —Tarleton Gillespie

Protecting Patron Privacy: A LITA Guide

Pre-order is available now for Protecting Patron Privacy, an authoritative Library Information Technology Association (LITA) Guide edited by Bobbi Newman and Bonnie Tijerina that covers topics including library data collection, retention, use, and protection; and in-house tools such as social network sites, surveillance video, and RFID. The book comes out this Friday.

Around the Around

Uber to Repay Millions to Drivers, Who Could Be Owed Far More

“But Uber’s handling of passenger payments raises questions about a larger legal issue, potentially far more substantial: not the pocket-change difference in the commission but whether that entire $2 in taxes is improperly coming out of the drivers’ wallets.” —Noam Scheiber

Persuasion and the other thing: A critique of big data methodologies in politics

“It is a short hop from thinking you know someone to thinking you know what they want or what is good for them, without any need to persuade or even to ask. And removing persuasion as a necessary step from the political sphere removes consent from the political sphere as well.” —Molly Sauter

Unreliable Data Can Threaten Democracy

“This [lack of census funding] is troubling, because statisticians won’t have good data to make their corrections unless there’s sufficient money to do enough house-to-house sampling.” —Cathy O’Neil


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