Faculty

Jeff Hancock

Jeff Hancock, Founding Director, Professor of Communication

hancockj@stanford.edu SML Publications

Hancock is founding director of the Stanford Social Media Lab and is a Professor in the Department of Communication at Stanford University. Professor Hancock and his group work on understanding psychological and interpersonal processes in social media. The team specializes in using computational linguistics and experiments to understand how the words we use can reveal psychological and social dynamics, such as deception and trust, emotional dynamics, intimacy and relationships, and social support. Recently Professor Hancock has begun work on understanding the mental models people have about algorithms in social media, as well as working on the ethical issues associated with computational social science.

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Staff

Sunny Xun Liu, Associate Director

sunnyxliu@stanford.edu

John J. Walker, Web Administrator

jjwalker@stanford.edu

Post Doctoral Scholars

Adam Miner

Adam Miner

aminer@stanford.edu SML Publications

Miner’s interests center around improving mental health by creating and deploying novel technologies in traditional and nontraditional care settings.

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Ph.D. Candidates

Megan French

Megan French

mfrench2@stanford.edu SML Publications

French is broadly interested in computer-mediated and interpersonal communication. She is particularly interested in how social media and technology shapes and reflects one’s sense of self and one’s relationships, with a focus on how people construct and convey their identity online.

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Mufan Luo

Mufan Luo

mufanl@stanford.edu

Luo’s research focuses on the psychology of communication technology, which involves the examination of interpersonal dynamics in computer-mediated communication (CMC) and social media affordances.

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David Markowitz

David Markowitz

dmmark@stanford.edu SML Publications

Markowitz investigates how communication messages are affected by social and psychological dynamics. He uses computational approaches to gather and analyze language data in the areas of deception, persuasion, and distress.

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Danaë Metaxa-Kakavouli

Danaë Metaxa-Kakavouli

metaxa@stanford.edu

Metaxa-Kakavouli studies bias and information systems: identifying how cognitive biases at the individual level affect the technology we produce, as well as designing technological solutions for mitigating that bias.

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Annabell Suh

Annabell Suh

asuh@stanford.edu

Suh is generally interested in how technology impacts well-being and health, and also how language use can reflect various aspects of well-being or health.

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