back

Facebook Files Explained

If you suspend your transcription on amara.org, please add a timestamp below to indicate how far you progressed! This will help others to resume your work!

Please do not press “publish” on amara.org to save your progress, use “save draft” instead. Only press “publish” when you're done with quality control.

Video duration
00:44:51
Language
English
Abstract
Hatespeech, teens in danger and wrong claims about growth rates – Facebook is under pressure sinces whistleblower Frances Haugen leaked more then 1.200 internal documents to the US congress. Many stories have been written, but many things are missing and often the original documents were not shown. This talk tries to change that and offers an exclusive insight into the files and the research.

When we met Facebook whistleblower Frances Haugen the first time, she was not known to the world and introduced herself as “Shawn”. The name of a longtime friend, who felt for conspiracy theories years ago and the reason why she joined facebook for the first time. Over weeks, as part of the NDR/WDR/SZ research team, we evaluated the facebook files. What did facebook internally know about hatespeech, bodyimage of teens and growth rates? This talk will offers exclusive insights into the files and the research. It will show, that facebook is at odds internally and that many people warned and knew about the wrong development towards polarization over years. We will dive into internal facebook studies and provide them with context. We will also show you, which stories the files don’t tell and where context is (still) missing.

Talk ID
rc3-nowhere-467
Event:
rc3-2021
Day
1
Room
c-base
Start
4 p.m.
Duration
00:30:00
Track
None
Type of
Talk
Speaker
Svea
Talk Slug & media link
rc3-2021-cbase-467-facebook-files-explained

Talk & Speaker speed statistics

Very rough underestimation:
137.0 wpm
756.6 spm
100.0% Checking done100.0%
0.0% Syncing done0.0%
0.0% Transcribing done0.0%
0.0% Nothing done yet0.0%
  

Work on this video on Amara!

Talk & Speaker speed statistics with word clouds

Whole talk:
137.0 wpm
756.6 spm