Instructors

Wenna Qin, TA

Welcome!

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!

Schedule

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:
  • Dan Jurafsky and James H. Martin. Speech & language processing. Chapter 5. 2021.
2 Jan 17
Tuesday
📺 Working with Social Data
[slides][video]
Optional Reading:
  • Dan Jurafsky and James H. Martin. Speech & language processing. Chapter 2. 2021.
2 Jan 17
Tuesday
📺 Overview of Course Project
[slides][video]
2 Jan 17
Tuesday
Social Influence:
Emotion Contagion [slides][blog post]
Required Reading Optional Reading:
2 Jan 19
Thursday
Social Influence:
Strong vs. Weak Ties [slides]
Required Reading: Optional Reading:
3 Jan 24
Tuesday
Social Influence:
Social Comparison [slides][blog post]
Required Reading Optional Reading:
3 Jan 26
Thursday
📺 Inferring Sentiment and Affect
[slides][video]
Optional Reading:
  • Dan Jurafsky and James H. Martin. Speech & language processing. Chapter 25. 2021.
3 Jan 26
Thursday
Language and Attitude Change: Argumentation [slides][blog post] Required Reading Optional 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 Optional Reading:
4 Feb 2
Thursday
Language and Attitude Change: Persuasion [slides][blog post] Required Reading Optional 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 Optional Reading:
  • Jiang, Shan, and Christo Wilson. "Structurizing misinformation stories via rationalizing fact-checks." In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 617-631. 2021.
  • Demszky, Dorottya, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, and Dan Jurafsky. "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings." In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 2970-3005. 2019.
6 Feb 14
Tuesday
📺 Data Annotation
[slides][video]
6 Feb 14
Tuesday
Fake News and Misinformation:
Deepfake [slides][blog post]
Required Reading: Optional Reading:
  • Horvitz, Eric. "On the horizon: Interactive and compositional deepfakes." In Proceedings of the 2022 International Conference on Multimodal Interaction, pp. 653-661. 2022.
  • Pu, Jiameng, Zain Sarwar, Sifat Muhammad Abdullah, Abdullah Rehman, Yoonjin Kim, Parantapa Bhattacharya, Mobin Javed, and Bimal Viswanath. "Deepfake Text Detection: Limitations and Opportunities." In 2023 IEEE Symposium on Security and Privacy (SP), pp. 19-36. IEEE Computer Society, 2022.
6 Feb 16
Thursday
Fake News and Misinformation:
Prebunking [slides][blog post]
Required Reading Optional 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 Optional Reading:
7 Feb 23
Thursday
Prosocial Behavior:
Positive Reframing [slides][blog post]
Required Reading Optional Reading:
  • McRae, Kateri, and James J. Gross. "Emotion regulation." Emotion 20, no. 1 (2020): 1.
  • Asai, Akari, Sara Evensen, Behzad Golshan, Alon Halevy, Vivian Li, Andrei Lopatenko, Daniela Stepanov, Yoshihiko Suhara, Wang-Chiew Tan, and Yinzhan Xu. "HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments." In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). 2018.
8 Feb 28
Tuesday
📺 Causal Inference
[slides][video]
8 Feb 28
Tuesday
Guest Lecture:
Martin Saveski [blog post]
Optional Reading:
  • Martin Saveski, Doug Beeferman, David McClure, Deb Roy. “Engaging Politically Diverse Audiences on Social Media”. ICWSM'22: International AAAI Conference on Web and Social Media. 2022.
  • Martin Saveski, Brandon Roy, Deb Roy. “The Structure of Toxic Conversations on Twitter”. WWW'21: The Web Conference. 2021
8 March 2
Thursday
Prejudice and Stigma:
Microaggression [slides][blog post][Colab]
Required Reading: Optional Reading:
9 March 7
Tuesday
📺 Statistical Hypothesis Testing [slides][video]
9 March 7
Tuesday
Prejudice and Stigma:
Biases [slides][lecture][blog post]
Required Reading Optional Reading:
9 March 9
Thursday
Prosocial Behavior:
Social Support [slides]
Required Reading Optional Reading:
10 March 14
Tuesday
Frontiers and Open Problems
[slides]
No Reading
10 March 16
Thursday
Project Poster Presentation 🎉 No Reading

Overview

Course Info

Office Hours

Prerequisites

Academic Accommodations

Well-Being, Stress Management, & Mental Health