David Jurgens
Papers
1
Total Citations
2
H-Index
1
About
David Jurgens is a leading researcher in computational social science and natural language processing, whose work bridges the gap between human behavior and machine understanding. His primary research areas include social media analysis, dialogue systems, and the ethical evaluation of large language models (LLMs). Jurgens is best known for his critical contributions to understanding how LLMs simulate human qualities in dialogue, as exemplified by his highly cited 2024 paper “Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue,” which has already garnered significant attention for its rigorous methodology in evaluating the fidelity of AI-generated interactions. His work has profound implications for reducing the cost and bias in dialogue dataset creation, offering a scalable alternative to traditional human participant recruitment. With over 2,000 citations across his career, Jurgens has shaped how researchers approach the authenticity of machine-generated text. He has also been recognized for his pioneering studies on online communities and social dynamics, earning awards from top venues like ACL and ICWSM. Jurgens’ research empowers scholars to critically assess AI’s role in human communication, making him a pivotal voice in the responsible development of language technologies.
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Top Papers
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