Digging Into Facebook's File on You

Algorithms are everywhere in our daily lives. But most of the time, we have no idea how they work. In this week's episode, ProPublica investigative journalist Julia Angwin explains how Facebook's algorithms categorize us. Plus, Note to Self listeners, we want you to get involved. Try out ProPublica's new tool, and tell us what you discover. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.

Episode 232 of the Note to Self podcast, hosted by WNYC Studios, titled "Digging Into Facebook's File on You" was published on September 28, 2016 and runs 18 minutes.

September 28, 2016 ·18m · Note to Self

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Summary

Algorithms are everywhere in our daily lives. But most of the time, we have no idea how they work. In this week's episode, ProPublica investigative journalist Julia Angwin explains how Facebook's algorithms categorize us. Plus, Note to Self listeners, we want you to get involved. Try out ProPublica's new tool, and tell us what you discover. Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.

Episode Description

Algorithms are everywhere in our daily lives. But most of the time, we have no idea how they work. In this week's episode, ProPublica investigative journalist Julia Angwin explains how Facebook's algorithms categorize us. Plus, Note to Self listeners, we want you to get involved. Try out ProPublica's new tool, and tell us what you discover.

Support Note to Self by becoming a member today at NotetoSelfRadio.org/donate.

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