Emma Lurie twitter profile CV link


Emma Lurie I am a public interest technologist and law student exploring the intersection of technology, democracy, and law. I am currently a JD candidate at Stanford Law School and a PhD candidate at the UC Berkeley School of Information.

My ongoing dissertation work examines how platform governance decisions along with technical and policy choices of other actors in the election information ecosystem are shaping today’s online civic infrastructure and trust in democratic processes. Other research interests include anti-doxxing laws, U.S. technology policy, and best methodological and ethical practices for social media research.

Previously, I’ve had the opportunity to work with some amazing teams at CISA, Stanford Internet Observatory, ACLU NorCal, Plaintext Group, Wellesley College Cred Lab, MIT Election Data and Science Lab, and the U.S. Census Bureau. I have a BA in Computer Science and Chinese Language & Culture from Wellesley College.

prounouns: she/her



Peer Reviewed Papers


Search quality complaints and imaginary repair: Control in articulations of Google Search. Daniel Griffin* and Emma Lurie*. New Media & Society 2022.
Reconfiguring Diversity and Inclusion for AI Ethics. Nichole Chi, Emma Lurie, and Deirdre K. Mulligan. AIES 2021.
'Highly Partisan' and 'Blatantly Wrong': Analyzing News Publishers' Critiques of Google's Reviewed Claims. Emma Lurie and Eni Mustafaraj. Truth and Trust Conference 2020.
The Case for Voter-Centered Audits of Search Engines During Political Elections. Eni Mustafaraj, Emma Lurie, and Claire Devine. ACM FAT* 2020.
Opening Up the Black Box: Auditing Google’s Top Stories Algorithm. Emma Lurie and Eni Mustafaraj. AAAI FLAIRS 2019.
Investigating the Effects of Google's Search Engine Result Page in Evaluating the Credibility of Online News Sources. Emma Lurie and Eni Mustafaraj.

Preprints


Searching for Representation: A Sociotechnical Audit of Googling for Members of Congress. Emma Lurie and Deirdre K. Mulligan.
Google Says So(S): An Examination of the Entanglement of Search Engines and Information on Ballot Propositions. Emma Lurie.

Non-Archival Publications


Who needs imagination? Exploring legal professionals’ lack of curiosity about e-discovery tools. Emma Lurie and Deirdre K. Mulligan. Designing Technological Systems with the Algorithmic Imaginations of Those Who Labor Workshop at CHI'21.
Crowdworkers Are Not Judges: Rethinking Crowdsourced Vignette Studies as a Risk Assessment Evaluation Technique. Emma Lurie and Deirdre K. Mulligan. Fair and Responsible AI Workshop at CHI'20.
Investigating Causal Effects of Instructions in Crowdsourced Claim Matching. Computation + Journalism 2020. Emma Lurie, Lucy Li, Sofia Dewar, Masha Belyi, Daniel Rincón, John Baldwin, and Rajvardhan Oak.
Considering Contestability in Automated Fact-Checking Systems. Emma Lurie. Contestability Workshop at CSCW 2019.
The Challenges of Algorithmically Assigning Fact-checks: A Sociotechnical Examination of Google's Reviewed Claims. Undergraduate Thesis, 2019.
How the Interplay of Google and Wikipedia Affects Perceptions of Online News Sources. Annabel Rothschild, Emma Lurie, and Eni Mustafaraj. Computation + Journalism 2019.

Other Writing

Comparing Platform Research API Requirements. Tech Policy Press. March 2023.
TikTok just announced the data it’s willing to share. What’s missing? Stanford Internet Observatory Blog. February 2023.
Tips for Working with an Undergraduate Research Advisor. Medium. June 2021.
What is “good enough” for automated fact-checking? Towards Data Science. August 2019.
Googling for the Kansas Primary Medium. August 2018.
Why Google Isn't Always Right. The Spoke. October 2017.