I’m a postdoctoral researcher at the Collaboratory Against Hate and IDeaS Center at Carnegie Mellon University, advised by Kathleen M. Carley and David West Brown. I completed a PhD at the Language Technologies Institute at Carnegie Mellon University, where I was advised by Carolyn Penstein Rosé.
My research uses methods from natural language processing and computational social science to study how identities and ideologies are expressed, generally in online communities. I currently focus on computational approaches to countering hate speech and online extremism.
Press and writing
- Addressing the spread of online hate speech will require more than just tech
Atiya Irvin-Mitchell, Technical.ly, 2023.
- From computer science to social science: new approaches to track and mitigate online hate speech
Michael Miller Yoder, Collaboratory Against Hate blog post, 2023.
Pandemic Personas: Analyzing Identity Signals in COVID-19 Discourse on Twitter
Scott Leo Renshaw, Samantha C. Phillips, Michael Miller Yoder, Kathleen M. Carley
Proceedings of the International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS). 2023.
conference paper article page
A Weakly Supervised Classifier and Dataset of White Supremacist Language
Michael Miller Yoder, Ahmad Diab, David West Brown, Kathleen M. Carley
Proceedings of the Association for Computational Linguistics (ACL). 2023.
conference paper pdf · data · code
Identity Construction in a Misogynist Incels Forum
Michael Miller Yoder, Chloe Perry, David West Brown, Kathleen M. Carley, Meredith Pruden
Proceedings of the Workshop on Online Abuse and Harms (WOAH). 2023.
workshop paper pdf
Online to Offline Crossover of White Supremacist Propaganda
Ahmad Diab, Bolor-Erdene Jagdagdorj, Lynnette Hui Xian Ng, Yu-Ru Lin, Michael Miller Yoder
International Workshop on Cyber Social Threats (CySoc 2023), Companion Proceedings of the ACM Web Conference. 2023.
workshop paper article page · preprint
The Relationship Between Antisemitism and COVID-19 Conspiracy on Twitter
Grace Garner, Madeleine McGrann, Daniel Klug, Rachel Kranson, Michael Miller Yoder
International Communication Association Conference (ICA), Toronto, Canada, 2023.
conference presentation preprint · whitepaper
How Hate Speech Varies by Target Identity: A Computational Analysis
Michael Miller Yoder, Lynnette Hui Xian Ng, David West Brown, Kathleen M. Carley
Proceedings of the Conference on Computational Natural Language Learning (CoNLL). 2022.
conference paper pdf · data · code · blog
An empirical analysis of high school students’ practices of modelling with unstructured data
Shiyan Jiang, Amato Nocera, Cansu Tatar, Michael Miller Yoder, Jie Chao, Kenia Wiedemann, William Finzer, Carolyn P. Rosé
British Journal of Educational Technology. 2022.
journal article article page · pdf
StoryQ: A Web-Based Machine Learning and Text Mining Tool for K-12 Students
Jie Chao, Bill Finzer, Carolyn P. Rosé, Shiyan Jiang, Michael Miller Yoder, James Fiacco, Chas Murray, Cansu Tatar, Kenia Wiedemann
SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2. 2022.
Computational models of identity presentation in language
Michael Miller Yoder
PhD dissertation, Language Technologies Institute, Carnegie Mellon University. 2021.
FanfictionNLP: A Text Processing Pipeline for Fanfiction
Michael Miller Yoder, Sopan Khosla, Qinlan Shen, Aakanksha Naik, Huiming Jin, Hariharan Muralidharan, Carolyn Rosé
Proceedings of the Workshop on Narrative Understanding. 2021.
workshop paper pdf · code · poster
Modeling Unstructured Data: Teachers as Learners and Designers of Technology-enhanced Artificial Intelligence Curriculum
Cansu Tatar, Michael Miller Yoder, Madeleline Coven, Kenia Wiedemann, Jie Chao, William Finzer, Shiyan Jiang, Carolyn Rosé
Proceedings of the International Society of the Learning Sciences (ISLS). 2021.
conference paper pdf
Phans, Stans and Cishets: Self-Presentation Effects on Content Propagation in Tumblr
Michael Miller Yoder, Qinlan Shen, Yansen Wang, Alex Coda, Yunseok Jang, Yale Song, Kapil Thadani, Carolyn P. Rosé
Proceedings of the ACM Conference on Web Science (WebSci). 2020.
conference paper pdf · slides
Perceptions of Censorship and Moderation Bias in Political Debate Forums
Qinlan Shen, Michael Miller Yoder, Yohan Jo, Carolyn P. Rosé
Proceedings of the International AAAI Conference on Web and Social Media (ICWSM). 2018.
conference paper pdf
Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior
Keith Maki, Michael Miller Yoder, Yohan Jo, Carolyn P. Rosé
Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP). 2017.
Best Student Paper Award.
conference paper pdf · data · slides
Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences
Yohan Jo, Michael Miller Yoder, Hyeju Jang, Carolyn P. Rosé
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 2017.
conference paper pdf · code
Code-Switching as a Social Act: The Case of Arabic Wikipedia Talk Pages
Michael Miller Yoder, Shruti Rijhwani, Carolyn Penstein Rosé, Lori Levin
Proceedings of the Second Workshop on Natural Language Processing and Computational Social Science. 2017.
workshop paper pdf · data · slides
Metaphor Detection with Topic Transition, Emotion and Cognition in Context
Hyeju Jang, Yohan Jo, Qinlan Shen, Michael Miller, Shane Moon, Carolyn P. Rosé
Proceedings of the Association for Computational Linguistics (ACL). 2016.
conference paper pdf