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Social Cooling - big data’s unintended side effect

How the reputation economy is creating data-driven conformity

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Video duration
00:34:27
Language
English
Abstract
What does it mean to be free in a world where surveillance is the dominant business model? Behind the scenes databrokers are turning our data into thousands of scores. This digital reputation is increasingly influencing our chances to find a job, a loan or even a date. Researchers are pointing out that, as people become aware of this reputation economy, it is generating a culture where self-censorship and risk aversion are the new normal.

How do we deal with these chilling effects? I suggest we take the comparison of oil and data all the way: If oil leads to global warming, then data leads to Social Cooling.

Social Cooling is an accessible narrative about the large scale chilling effects are starting to become visible, and whose effects countries like China are actively embracing. Here in the west studies show a rise in self-censorship and a growing culture of risk-aversion. For example, after the Snowden revelations fewer people visit Wikipedia pages about subjects like terrorism. We see doctors hesitating to operate on patients because a death will lower their score.

This comparison is not meant to scare, but to give us hope: our move away from oil offers us a valuable blueprint on how to deal with this issue. In this talk we’ll go into the narratives we need. In a data-driven world, a good story can still be the best hack.

Talk ID
8797
Event:
34c3
Day
1
Room
Saal Dijkstra
Start
9:15 p.m.
Duration
00:30:00
Track
Ethics, Society & Politics
Type of
lecture
Speaker
Tijmen Schep
Talk Slug & media link
34c3-8797-social_cooling_-_big_data_s_unintended_side_effect

Talk & Speaker speed statistics

Very rough underestimation:
179.9 wpm
989.6 spm
187.5 wpm
1035.8 spm
100.0% Checking done100.0%
0.0% Syncing done0.0%
0.0% Transcribing done0.0%
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Talk & Speaker speed statistics with word clouds

Whole talk:
179.9 wpm
989.6 spm
Tijmen Schep:
187.5 wpm
1035.8 spm