We live in an era where many aspects of our social interactions are recorded as textual data, from social media posts to medical and financial records. This course is about using a variety of techniques from machine learning and theories from social science to study human behaviors and important societal questions at scale. Topics will include methods for natural language processing and causal inference, and their applications to important societal questions around hate speech, misinformation, and social movements.
💥 CS224C class will be a mix of pre-recorded video lectures (for viewing by class participants) and discussion sessions during our class meetings.
📺 These pre-recorded videos will cover introductory NLP/ML methods and statistics that are widely used by the computational social science field, together with potential techniques involved in these readings. We will release one video lecture per week, starting from the second week. Check them out!
Note: tentative schedule is subject to change.
Week | Date | Theme | Course Material |
---|---|---|---|
1 | Jan 10 Tuesday |
Class Introduction [slides] |
Optional Readings:
|
1 | Jan 12 Thursday |
Computational Basics [slides] |
Optional Reading:
|
2 | Jan 17 Tuesday |
📺 Working with Social Data [slides][video] |
Optional Reading:
|
2 | Jan 17 Tuesday |
📺 Overview of Course Project [slides][video] |
|
2 | Jan 17 Tuesday |
Social Influence: Emotion Contagion [slides][blog post] |
Required Reading
|
2 | Jan 19 Thursday |
Social Influence: Strong vs. Weak Ties [slides] |
Required Reading:
|
3 | Jan 24 Tuesday |
Social Influence: Social Comparison [slides][blog post] |
Required Reading
|
3 | Jan 26 Thursday |
📺 Inferring Sentiment and Affect [slides][video] |
Optional Reading:
|
3 | Jan 26 Thursday |
Language and Attitude Change: Argumentation [slides][blog post] |
Required Reading
|
4 | Jan 31 Tuesday |
📺 Topic Modeling for the Social Sciences [slides][video] | |
4 | Jan 31 Tuesday |
Language and Attitude Change: Deception [slides][blog post] |
Required Reading
|
4 | Feb 2 Thursday |
Language and Attitude Change: Persuasion [slides][blog post] |
Required Reading
|
5 | Feb 7 Tuesday |
📺 Deep Learning for CSS [slides][video] | |
5 | Feb 7 Tuesday |
Project Pitch Session 🤩 | No Reading |
5 | Feb 9 Thursday |
Fake News and Misinformation: Rumors [slides][blog][lecture] |
Required Reading
|
6 | Feb 14 Tuesday |
📺 Data Annotation [slides][video] |
|
6 | Feb 14 Tuesday |
Fake News and Misinformation: Deepfake [slides][blog post] |
Required Reading:
|
6 | Feb 16 Thursday |
Fake News and Misinformation: Prebunking [slides][blog post] |
Required Reading
|
7 | Feb 21 Tuesday |
📺 Word Embedding Meets Social Applications (Kaitlyn) [slides][video] |
|
7 | Feb 21 Tuesday |
Prosocial Behavior: Politeness [slides][blog][lecture] |
Required Reading
|
7 | Feb 23 Thursday |
Prosocial Behavior: Positive Reframing [slides][blog post] |
Required Reading
|
8 | Feb 28 Tuesday |
📺 Causal Inference [slides][video] |
|
8 | Feb 28 Tuesday |
Guest Lecture: Martin Saveski [blog post] |
Optional Reading:
|
8 | March 2 Thursday |
Prejudice and Stigma: Microaggression [slides][blog post][Colab] |
Required Reading:
|
9 | March 7 Tuesday |
📺 Statistical Hypothesis Testing [slides][video] | |
9 | March 7 Tuesday |
Prejudice and Stigma: Biases [slides][lecture][blog post] |
Required Reading
|
9 | March 9 Thursday |
Prosocial Behavior: Social Support [slides] |
Required Reading
|
10 | March 14 Tuesday |
Frontiers and Open Problems [slides] |
No Reading |
10 | March 16 Thursday |
Project Poster Presentation 🎉 | No Reading |
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