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Private traits and attributes are predictable from digital records of human behavior
Published on Feb 4, 20252884 Views
We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orient
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Presentation
The Human Manifold00:00
The Digital Traces: Online Data00:34
High-Dimensional Observation Space - 101:01
High-Dimensional Observation Space - 201:25
Mapping the Human Manifold01:58
Big Five Personality traits03:46
A Treasure Chest of Data: MyPersonality05:06
The Magic of Machine Learning - 106:46
High-Dimensional Observation Space - 307:26
The Magic of Machine Learning - 207:40
Mapping the Manifold08:08
The Magic of Machine Learning - 309:11
Making Predictions10:07
Demo - 110:37
Prediction Accuracy: Binary variables12:07
Prediction Accuracy: Numeric Variables13:55
Demo - 216:17
What is there to like? Intelligence17:27
Which Likes? Happiness21:11
Which Likes? Extraversion22:36
Press activity - 123:10
Press activity - 223:15
Press activity - 323:17
Press activity - 423:20
Press activity - 523:31
Questions for User Privacy23:47
Conclusions25:56