Daniel Angus

Papers

Total Citations

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About

Daniel Angus is a leading researcher in computational social science and human-machine communication, with a focus on how digital technologies shape language, interaction, and social connection. His work bridges artificial intelligence, discourse analysis, and health communication, particularly in the context of aging and dementia care. One of his notable contributions is the development of Harlie (Human and Robot Language Interaction Experiment), a smartphone-based chatbot designed to engage older adults in meaningful conversation. In a 2016 study, Angus demonstrated that specialized, tailored content could sustain dialogue and help maintain communication confidence in people with dementia—a critical insight for assistive technology design. Though this early work has garnered modest citations (10), it laid the groundwork for broader impact: his research on automated text analysis, social media discourse, and algorithmic bias has been cited over 1,000 times collectively. Angus is also known for his innovative use of computational methods to study political communication and misinformation, and he has been recognized with multiple awards for his contributions to digital humanities and public scholarship. His work continues to influence how researchers and practitioners design ethical, human-centered AI systems.