AI Among Us: Social Media Users Struggle to Identify AI Bots During Political Discourse Permalink
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media
Social Media Users Identify AI Bots Correctly Less Than Half the Time, Research Finds Permalink
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🏆 EMNLP 2025 Outstanding Paper Award Permalink
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portfolio
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publications
Defending novice user privacy: An evaluation of default web browser configurations
Computers & Security, 2024
Which web browser has the best default privacy settings?
LLMs Among Us: Generative AI Participating in Digital Discourse
AAAI Spring Symposium, 2024
Do social media users realize that they are interacting with bots? Short answer: probably not.
Epistemic Positioning in Large Language Models
RAISE Winter Exposition, 2025
Translating classical problems in epistemology to the setting of large language models.
Ensemble-Based Uncertainty Quantification for Reliable LLM Classification in Social Data Applications
IEEE Access, 2025
A method for quantifying uncertainty in LLM classifications using ensemble techniques.
Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery
COLM, 2025
A framework for understanding how LLMs can better align their knowledge with users.
Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
EMNLP Main Conference 🏆 Outstanding Paper Award, 2025
Humans often act in ways that are inconsistent with their values. We hypothesize that this is also true for LLMs.
talks
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teaching
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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