Dan Goldwasser
Computer Science · Purdue University West Lafayette
Publications
174
Citations
2,527
Est. group size
~4
Recurring co-author estimate
Active years
52
Publishing since 1975
Dan Goldwasser works on natural language processing (NLP), the branch of computer science that builds computational methods for analyzing and understanding text and social media content. His recent work focuses on using large language models (LLMs) to detect underlying themes, moral framings, and ideological arguments in political and social media discourse, as well as multimodal understanding of emotion and social context in images and text. Much of this research combines human annotation with LLM assistance to study topics like misinformation, political polarization, and social justice movements.
Publication output has grown steadily over the last decade, rising from about 7 papers/year in 2017-2018 to a peak of 18 in 2025, with a recent 5-year average of roughly 13 papers per year.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Splits! Flexible Sociocultural Linguistic Investigation at Scale
2026
- Black lives matter and say her name: how intersectional solidarity strengthens movements for social justice
Politics Groups and Identities · 2025
- Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs
Proceedings of the International AAAI Conference on Web and Social Media · 2025
- Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Media
arXiv (Cornell University) · 2025
- Can LLMs Assist Annotators in Identifying Morality Frames? - Case Study on Vaccination Debate on Social Media
2025
- Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
2025
- VIBE: Can a VLM Read the Room?
arXiv (Cornell University) · 2025
- Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation
2025
- Talking Point based Ideological Discourse Analysis in News Events
2025
- ConceptCarve: Dynamic Realization of Evidence
2025
- CoLa: Learning to Interactively Collaborate with Large Language Models
arXiv (Cornell University) · 2025
- EmoGist: Efficient In-Context Learning for Visual Emotion Understanding
arXiv (Cornell University) · 2025
- VIBE: Can a VLM Read the Room?
2025
- EmoGist: Efficient In-Context Learning for Visual Emotion Understanding
2025
- SOLAR: Towards Characterizing Subjectivity of Individuals through Modeling Value Conflicts and Trade-offs
2025
- arXiv (Cornell University)×39
- Proceedings of the International AAAI Conference on Web and Social Media×5
- Proceedings of the AAAI Conference on Artificial Intelligence×3
- IEEE Transactions on Learning Technologies×2
- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)×2
- Daniel Dakota
Computer Science · Indiana University
- Rajkumar Pujari
Computer Science · Purdue University West Lafayette
- Yaqing Wang
Computer Science · Purdue University West Lafayette
- María Leonor Pacheco
Computer Science · Purdue University West Lafayette
- Joan C. Timoneda
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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