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AIM Faculty & Staff
Julia Mendelsohn
Julia Mendelsohn
Assistant Professor, College of Information and Department of Government and Politics
AIM Pillars: Social Justice
Latest Papers
How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment
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Proceedings of the ACM Collective Intelligence Conference
UMD Author(s): Julia Mendelsohn
What’s in a Prompt?: A Large-Scale Experiment to Assess the Impact of Prompt Design on the Compliance and Accuracy of LLM-Generated Text Annotations
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Proceedings of the International AAAI Conference on Web and Social Media
UMD Author(s): Julia Mendelsohn
AI-LieDar : Examine the Trade-off Between Utility and Truthfulness in LLM Agents
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Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
UMD Author(s): Julia Mendelsohn
When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models
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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
UMD Author(s): Julia Mendelsohn
Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies
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Journal of Quantitative Description: Digital Media
UMD Author(s): Julia Mendelsohn
Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media
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Proceedings of the International AAAI Conference on Web and Social Media
UMD Author(s): Julia Mendelsohn
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models
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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
UMD Author(s): Julia Mendelsohn
Computational analysis of 140 years of US political speeches reveals more positive but increasingly polarized framing of immigration
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Proceedings of the National Academy of Sciences
UMD Author(s): Julia Mendelsohn
Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media
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Findings of the Association for Computational Linguistics: EMNLP 2022
UMD Author(s): Julia Mendelsohn