Megan French
Megan French
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How people form folk theories of social media feeds and what it means for how we study self-presentation
MA DeVito, J Birnholtz, JT Hancock, M French, S Liu
Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018
Is anybody out there?: Understanding masspersonal communication through expectations for response across social media platforms
M French, NN Bazarova
Journal of Computer-Mediated Communication 22 (6), 303-319, 2017
What's the folk theory? Reasoning about cyber-social systems
M French, J Hancock
Reasoning About Cyber-Social Systems (February 2, 2017), 2017
AI-mediated communication: How the perception that profile text was written by AI affects trustworthiness
M Jakesch, M French, X Ma, JT Hancock, M Naaman
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
The algorithm and the user: How can hci use lay understandings of algorithmic systems?
MA DeVito, JT Hancock, M French, J Birnholtz, J Antin, K Karahalios, ...
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018
Social media use and psychological well-being: a meta-analysis
JT Hancock, X Liu, M French, M Luo, H Mieczkowski
International communication association conference, Washington, DC, 2019
What’s the folk theory
M French, J Hancock
Reasoning about cyber-social systems, 2017
Without a Trace: How Studying Invisible Interactions Can Help Us Understand Social Media
NB Ellison, M French, E Litt, SS Sundar, P Trieu
Companion of the 2018 ACM Conference on Computer Supported Cooperative Work …, 2018
Is This How We (All) Do It? Butler Lies and Ambiguity Through a Broader Lens
M French, ME Smith, J Birnholtz, JT Hancock
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015
Reports of the workshops held at the 2018 international AAAI conference on web and social media
J An, R Chunara, DJ Crandall, D Frajberg, M French, BJ Jansen, ...
AI Magazine 39 (4), 36-44, 2018
Algorithmic Mirrors: an Examination of How Personalized Recommendations Can Shape Self-perceptions and Reinforce Gender Stereotypes
MR French
Stanford University, 2018
Detecting Deception in Text Messaging: The Role of Context, Relationships, the Lie and the Liar
L Reynolds, J Hancock, M French, ME Smith, J Birnholtz
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