| 1 |
April 2
Tuesday |
Class Introduction
[slides] |
Optional Readings:
- Lazer, David, Alex Pentland, Lada Adamic, Sinan Aral, Albert-Laszlo Barabasi, Devon Brewer, Nicholas Christakis et al. "Computational social science." Science (New York, NY) 323, no. 5915 (2009): 721-723.
- Lazer, David MJ, Alex Pentland, Duncan J. Watts, Sinan Aral, Susan Athey, Noshir Contractor, Deen Freelon et al. "Computational social science: Obstacles and opportunities." Science 369, no. 6507 (2020): 1060-1062.
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| 1 |
Apr 4
Thursday |
Computational basics and Hypotheses Testing
[slides] |
Optional Reading:
- Dan Jurafsky and James H. Martin. Speech & language processing. Chapter 5. 2021.
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| 2 |
Apr 9
Tuesday |
Working with Text Data / Project Introduction
[slides] |
Optional Reading:
- Dan Jurafsky and James H. Martin. Speech & language processing. Chapter 2. 2021.
💻 Homework 1
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| 2 |
Apr 11
Thursday |
Inferring Sentiment and Affect
[slides] [Project Overview slides] |
Optional Reading:
- Dan Jurafsky and James H. Martin. Speech & language processing. Chapter 25. 2021.
💻 Homework 1 [Colab Notebook]
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| 3 |
Apr 16
Tuesday |
Social Influence
[Group Presentation slides] |
Required Reading:
Optional Reading:
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| 3 |
Apr 18
Thursday |
Framing and Persuasion
[Group Presentation slides] |
Required Reading:
Optional Reading:
- Althoff, Tim, Cristian Danescu-Niculescu-Mizil, and Dan Jurafsky. "How to ask for a favor: A case study on the success of altruistic requests." In Proceedings of the International AAAI Conference on Web and Social Media, vol. 8, no. 1, pp. 12-21. 2014.
- Zeng, Yi, Hongpeng Lin, Jingwen Zhang, Diyi Yang, Ruoxi Jia, and Weiyan Shi. "How Johnny can persuade LLMs to jailbreak them: Rethinking persuasion to challenge AI safety by humanizing LLMs." arXiv preprint arXiv:2401.06373 (2024).
- Petty, Richard E., and John T. Cacioppo. "The elaboration likelihood model of persuasion." In Communication and persuasion, pp. 1-24. Springer, New York, NY, 1986.
- Cialdini, Robert B., and Noah J. Goldstein. "Social influence: Compliance and conformity." Annual review of psychology 55, no. 1 (2004): 591-621.
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| 4 |
Apr 23
Tuesday |
Topic Modeling for the Social Sciences
[slides] |
Optional Reading:
- Blei, David M., Andrew Y. Ng, and Michael I. Jordan. "Latent dirichlet allocation." Journal of machine Learning research 3, no. Jan (2003): 993-1022.
- Ramage, Daniel, Evan Rosen, Jason Chuang, Christopher D. Manning, and Daniel A. McFarland. "Topic modeling for the social sciences." In NIPS 2009 workshop on applications for topic models: text and beyond, vol. 5, no. 27, pp. 1-4. 2009.
💻 Homework 2
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| 4 |
Apr 25
Thursday |
Network and Social Media |
Required Reading:
- Nilforoshan, Hamed, Wenli Looi, Emma Pierson, Blanca Villanueva, Nic Fishman, Yiling Chen, John Sholar, Beth Redbird, David Grusky, and Jure Leskovec. "Human mobility networks reveal increased segregation in large cities." Nature 624, no. 7992 (2023): 586-592.
- Cinelli, Matteo, Gianmarco De Francisci Morales, Alessandro Galeazzi, Walter Quattrociocchi, and Michele Starnini. "The echo chamber effect on social media." Proceedings of the National Academy of Sciences 118, no. 9 (2021): e2023301118.
🗓Project proposal due
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| 5 |
Apr 30
Tuesday |
Word Embeddings and Representation |
Optional Reading:
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| 5 |
May 2
Thursday |
🔥 Project Pitch Session |
📂Project proposal grade out |
| 6 |
May 7
Tuesday |
Hate Speech |
Required Reading:
- Chandrasekharan, Eshwar, Umashanthi Pavalanathan, Anirudh Srinivasan, Adam Glynn, Jacob Eisenstein, and Eric Gilbert. "You can't stay here: The efficacy of reddit's 2015 ban examined through hate speech." Proceedings of the ACM on human-computer interaction 1, no. CSCW (2017): 1-22.
- He, Bing, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, and Srijan Kumar. "Racism is a virus: Anti-Asian hate and counterspeech in social media during the COVID-19 crisis." In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 90-94. 2021.
Optional Reading:
- ElSherief, Mai, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, and Diyi Yang. "Latent Hatred: A Benchmark for Understanding Implicit Hate Speech." In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 345-363. 2021.
- Wright, Austin P., Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, and Diyi Yang. "RECAST: Enabling user recourse and interpretability of toxicity detection models with interactive visualization." Proceedings of the ACM on Human-Computer Interaction 5, no. CSCW1 (2021): 1-26.
- Breitfeller, Luke, Emily Ahn, David Jurgens, and Yulia Tsvetkov. "Finding microaggressions in the wild: A case for locating elusive phenomena in social media posts." Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 1664-1674. 2019.
💻 Homework 3
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| 6 |
May 9
Thursday |
Fake News and Misinformation (1) |
Required Reading:
- Prochaska, Stephen, Kayla Duskin, Zarine Kharazian, Carly Minow, Stephanie Blucker, Sylvie Venuto, Jevin D. West, and Kate Starbird. "Mobilizing manufactured reality: how participatory disinformation shaped deep stories to catalyze action during the 2020 US Presidential election." Proceedings of the ACM on human-computer interaction 7, no. CSCW1 (2023): 1-39.
- Arechar, Antonio A., Jennifer Allen, Adam J. Berinsky, Rocky Cole, Ziv Epstein, Kiran Garimella, Andrew Gully et al. "Understanding and combatting misinformation across 16 countries on six continents." Nature Human Behaviour 7, no. 9 (2023): 1502-1513.
Optional Reading:
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| 7 |
May 14
Tuesday |
Deep Learning for CSS |
🗓Project midway report due |
| 7 |
May 16
Thursday |
Fake News and Misinformation (2) |
Required Reading:
- Roozenbeek, Jon, Sander Van Der Linden, Beth Goldberg, Steve Rathje, and Stephan Lewandowsky. "Psychological inoculation improves resilience against misinformation on social media." Science Advances 8, no. 34 (2022): eabo6254.
- Groh, Matthew, Ziv Epstein, Chaz Firestone, and Rosalind Picard. "Deepfake detection by human crowds, machines, and machine-informed crowds." Proceedings of the National Academy of Sciences 119, no. 1 (2022): e2110013119.
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| 8 |
May 21
Tuesday |
Prejudice and Stigma |
Required Reading:
- Voigt, Rob, Nicholas P. Camp, Vinodkumar Prabhakaran, William L. Hamilton, Rebecca C. Hetey, Camilla M. Griffiths, David Jurgens, Dan Jurafsky, and Jennifer L. Eberhardt. "Language from police body camera footage shows racial disparities in officer respect." Proceedings of the national Academy of sciences 114, no. 25 (2017): 6521-6526.
- Cai, Erica, Ankita Gupta, Katherine Keith, Brendan O'Connor, and Douglas R. Rice. ""Let Me Just Interrupt You": Estimating Gender Effects in Supreme Court Oral Arguments." SocArxiv (2023).
Optional Reading:
- Bertrand, Marianne, and Sendhil Mullainathan. "Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination." American economic review 94, no. 4 (2004): 991-1013.
- MacNell, Lillian, Adam Driscoll, and Andrea N. Hunt. "What’s in a name: Exposing gender bias in student ratings of teaching." Innovative Higher Education 40, no. 4 (2015): 291-303.
- Tang, Shiliang, Xinyi Zhang, Jenna Cryan, Miriam J. Metzger, Haitao Zheng, and Ben Y. Zhao. "Gender bias in the job market: A longitudinal analysis." Proceedings of the ACM on Human-Computer Interaction 1, no. CSCW (2017): 1-19.
💻 Homework 4
📂 Project midway grade out
|
| 8 |
May 23
Thursday |
Causal Inference |
Optional Reading:
05/24: Course withdrawal deadline
|
| 9 |
May 28
Tuesday |
Prosocial Behavior |
Required Reading:
- Sharma, Ashish, Inna W. Lin, Adam S. Miner, David C. Atkins, and Tim Althoff. "Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support." Nature Machine Intelligence 5, no. 1 (2023): 46-57.
- Argyle, Lisa P., Christopher A. Bail, Ethan C. Busby, Joshua R. Gubler, Thomas Howe, Christopher Rytting, Taylor Sorensen, and David Wingate. "Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale." Proceedings of the National Academy of Sciences 120, no. 41 (2023): e2311627120.
Optional Reading:
- Ziems, Caleb, Minzhi Li, Anthony Zhang, and Diyi Yang. "Inducing Positive Perspectives with Text Reframing." In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 3682-3700. 2022.
- Wang, Yi-Chia, Robert Kraut, and John M. Levine. "To stay or leave? The relationship of emotional and informational support to commitment in online health support groups." In Proceedings of the ACM 2012 conference on computer supported cooperative work, pp. 833-842. 2012.
- Li, Mingyang, Louis Hickman, Louis Tay, Lyle Ungar, and Sharath Chandra Guntuku. "Studying politeness across cultures using English Twitter and Mandarin Weibo." Proceedings of the ACM on Human-Computer Interaction 4, no. CSCW2 (2020): 1-15.
- Danescu-Niculescu-Mizil, Cristian, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, and Christopher Potts. "A computational approach to politeness with application to social factors." In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 250-259. 2013.
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| 9 |
May 30
Thursday |
LLMs and Social Behaviors |
Required Reading:
- Park, Joon Sung, Joseph O'Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. "Generative agents: Interactive simulacra of human behavior." In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, pp. 1-22. 2023.
- Chuang, Yun-Shiuan, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, and Timothy T. Rogers. "Simulating Opinion Dynamics with Networks of LLM-based Agents." arXiv preprint arXiv:2311.09618 (2023).
Optional Reading:
- Cheng, Myra, Tiziano Piccardi, and Diyi Yang. "CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations." In The 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
- Aher, Gati V., Rosa I. Arriaga, and Adam Tauman Kalai. "Using large language models to simulate multiple humans and replicate human subject studies." In International Conference on Machine Learning, pp. 337-371. PMLR, 2023.
- Shaikh, Omar, Valentino Chai, Michele J. Gelfand, Diyi Yang, and Michael S. Bernstein. "Rehearsal: Simulating conflict to teach conflict resolution." arXiv preprint arXiv:2309.12309 (2023).
- Xu, Ruoxi, Yingfei Sun, Mengjie Ren, Shiguang Guo, Ruotong Pan, Hongyu Lin, Le Sun, and Xianpei Han. "AI for social science and social science of AI: A survey." Information Processing & Management 61, no. 3 (2024): 103665.
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| 10 |
Jun 4
Tuesday |
No Class. Work on Final Projects |
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| 10 |
Jun 6
Thursday |
💥Poster Sessions |
06/05: Last day of class |
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Jun 7
Friday |
🗓Final report due |
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