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NLP meets Computational Social (Media) Science
Published on Jun 06, 20171345 Views
Language is the ultimate social medium: We don't just communicate to convey information, but also to entertain, to gossip, to console, and much more. Social media data is one of the purest expressions
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Chapter list
Creation and Use of Social Media Resources00:00
NLP meets Computational Social (Media) Science00:10
Social Media00:56
Natural Language Processing - 102:07
Natural Language Processing - 203:28
Who buys what? - 105:02
Who buys what? - 206:04
Sexism in Politics06:34
Censorship07:20
Neighborhoods07:46
Language Change08:34
Measuring Language Variation09:06
Visualizing Language Variation10:01
Personality10:59
The Transparent User11:36
Workshop on NLP and Computational Social Sciences12:31
That’s it, NLP can help social science and business12:56
…no, really…13:04
Ok, so maybe there’s one thing13:09
The Assumption13:21
Language Distributions14:01
Shannon Game - 114:47
Shannon Game - 215:30
Language16:02
Demographics16:29
The Problem17:25
The Consequences18:44
More Data?19:15
Improving NLP with Demographic Information20:06
Example 1: Text Classification20:16
Data - 120:26
Embeddings21:28
Systems22:15
Results for Age (avg)22:45
Results for Gender (avg)23:53
Example 2:24:56
Mental Health Risk Prediction26:01
Comorbidity and Correlation28:36
Motivation from “The Karate Kid”30:14
Data - 231:17
Results ROC32:54
Results: TPR@FPR=0.133:28
So then all is good, right?35:20
…right?35:32
Challenges35:35
Ethics and NLP35:42
Exclusion - 137:19
Exclusion - 238:44
Overgeneralization39:19
The Signal and the Noise39:52
Hate Speech Detection40:38
Exposure40:51
Dual Use42:17
What can we do?42:56
Ethics44:46
Wrapping up45:01
Conclusion45:06
Open questions45:55
Thanks!46:39
Questions?46:41