Hi there! I am a final-year Information Science PhD candidate at Cornell University. I am a part of the Social Technologies Lab on the Cornell Tech campus and am advised by Mor Naaman.
My work traces how AI and other emerging technologies impact online news and civic information consumption. My aim is to help keep the public informed and civically engaged in an accessible, transparent, and equitable way. In particular, my dissertation work examines how technology changes people’s access to local information through platforms, online communities, and online search. I leverage mixed-method techniques from Human-Computer Interaction and Computational Social Science to publish in general science venues and other heavily peer-reviewed venues like CHI, CSCW, and ICWSM. My work has received a Top Paper award at the International Communication Association.Before my PhD, I was a Product Manager at Microsoft. I graduated with a B.Sc. in Computer Science and Non-Fiction from Brown University in 2017.
I am on the 2024-2025 job market for tenure-track or postdoc positions.
RECENT NEWS
- October 2024: I will be in Boston for the Computation + Journalism Symposium to present a collaboration on fine-grained labeling of locations in news articles with the Brown Institute for Media Innovation at Columbia.
- July 2024: I went to IC2S2 to present work on local subreddits and news headline concreteness.
- June 2024: I went to the International Communication Association to present my paper with Madiha Zarah Choksi on Nextdoor, which won a Top Paper award for the Communication & Technology Division!
- May 2024: I will be attending CHI 2024 to present two papers, a late-breaking work, and organize a workshop on LLMs as Research Tools — come find me and say hi!
- April 2024: My CSCW paper on comparing local online groups and local media pages on Facebook is live!
- October 2023: I will be attending CSCW and going to the Doctoral Consortium to present and talk about my work, “The Modern Informed Citizen: Understanding Trade-offs in Digital News Consumption.” Say hi!
PEER-REVIEWED PUBLICATIONS
When Curiosity Gaps Backfire: Effects of Headline Concreteness on Information Selection Decisions
Marianne Aubin Le Quéré and J. Nathan Matias, In-Principle Accepted to Nature Scientific Reports.
Under the (neighbor)hood: Hyperlocal Surveillance on Nextdoor
Madiha Choksi*, Marianne Aubin Le Quéré*, Travis Lloyd, Ruojia Tao, James Grimmelman, Mor Naaman, ACM SIGCHI Conference on Human Factors in Computing, 2024.
The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication
Kowe Kadoma, Marianne Aubin Le Quéré, Xiyu Jenny Fu, Christin Munsch, Danaë Metaxa, Mor Naaman, ACM SIGCHI Conference on Human Factors in Computing, 2024.
Not Quite Filling the Void: Comparing the Perceptions of Local Online Groups and Local Media Pages on Facebook
Marianne Aubin Le Quéré, Mor Naaman, and Jenna Fields, ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), 2024.
Broadening Scientific Engagement and Inclusivity in IPCC Reports through Collaborative Technology Platforms
Anthony Jude De-Gol, Corinne Le Quéré, Adam Smith, Marianne Aubin Le Quéré, Nature Climate Action, 2024.
Information Needs of Essential Workers During the COVID-19 Pandemic
Marianne Aubin Le Quéré, Ting-Wei Chiang, Mor Naaman, ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), 2022.
Understanding Local News Social Coverage and Engagement at Scale During the Covid-19 Pandemic
Marianne Aubin Le Quéré, Ting-Wei Chiang, Mor Naaman, ICWSM Sixteenth International AAAI Conference on Web and Social Media, 2022.
The Upworthy Research Archive: A Time Series of Experiments in U.S. Media
J. Nathan Matias, Kevin Munger, Marianne Aubin Le Quéré, Charlie Ebersole, Nature Scientific Data, 2021.
Drafty: Enlisting Users to be Editors who Maintain Structured Data
S. Wallace, L. Van Kleunen, Marianne Aubin Le Quéré, A. Peterkin, Y. Huang, J. Huang. Proceedings of the Fifth Conference on Human Computation and Crowdsourcing (HCOMP), 2017.
LIGHTLY PEER-REVIEWED
Towards Identifying Local Content Deserts with Open-Source Large Language Models
Marianne Aubin Le Quéré, Siyan Wang, Tazbia Fatima, and Michael Krisch. Accepted to Computation & Journalism Symposium, 2024.
The Neighborhood Prism: How Localized Social Networks Reflect Offline Demographics
Ruojia Tao*, and Marianne Aubin Le Quéré*. Extended Abstracts for ACM Conference on Computer-Supported Cooperative Work (CSCW), 2024.
Under the (neighbor)hood: Hyperlocal Surveillance on Nextdoor 🏆 Top Paper Award
Madiha Choksi*, Marianne Aubin Le Quéré*, Travis Lloyd, Ruojia Tao, James Grimmelman, Mor Naaman, International Communication Association Conference 2024.
LLMs as Research Tools: Applications and Evaluations in HCI Data Work
Marianne Aubin Le Quéré, Hope Schroeder, Casey Randazzo, Jie Gao, Ziv Epstein, Simon Tang Perrault, David Mimno, Louise Barkhuus, Hanlin Li, Extended Abstracts of the 2024 ACM SIGCHI Conference on Human Factors in Computing Systems, 2024.
Under the (neighbor)hood: a typography of community surveillance posts on NextDoor
Madiha Choksi, Marianne Aubin Le Quéré, Privacy Law Scholars Conference, 2023.
The Modern Informed Citizen: Understanding Trade-offs in Digital News Consumption
Marianne Aubin Le Quéré, Extended Abstracts of the 2023 ACM SIGCHI Conference on Human Factors in Computing Systems, 2023.
Social, Local, and Online: Comparing the Perceptions and Impact of Local Online Groups and Local Media Pages on Facebook
Marianne Aubin Le Quéré, Jenna Fields, and Mor Naaman, International Communication Association Conference, 2023.
Local, Social, and Online: Comparing the Perceptions and Impact of Local Online Groups and Local Media Pages on Facebook
Marianne Aubin Le Quéré, Mor Naaman, Jenna Fields, Computation and Journalism Symposium 2022.
Trust in AI in Under-resourced Environments: Lessons from Local Journalism
Marianne Aubin Le Quéré and Maurice Jakesch, CHI Workshop on Trust and Reliance in AI-Human Teams, 2022.