2022

Magazine Article AI Ethics Are in Danger. Funding Independent Research Could Help
Dylan Baker and Alex Hanna
Stanford Social Impact Review
Journal Article Black Protests in the US, 1994-2010
Pamela Oliver, Chaeyoon Lim, Morgan Matthews, Alex Hanna
Sociological Science
Conference Paper When is Machine Learning Data Good?: Valuing in Public Health Datafication
Divy Thakkar, Azra Ismail, Pratyush Kumar, Alex Hanna, Nithya Sambasivan, Neha Kumar
CHI 2022

2021

Journal Article Auto-essentialization: Gender in automated facial analysis as extended colonial project
Morgan Klaus Scheuerman, Madeleine Pape, Alex Hanna
Big Data & Society
Conference Paper AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada, Emily Denton, Alex Hanna
NeurIPS (Datasets and Benchmark Track)
Conference Paper Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Bernard Koch, Emily Denton, Alex Hanna, Jacob Gates Foster
NeurIPS (Datasets and Benchmark Track)
Best Paper Award
Journal Article Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna
Cell Patterns
Preprint Constructing Theory-Informed Relational and Verifiable Protest Event Data
Pamela Oliver, Alex Hanna, Chaeyoon Lim
Magazine Article Notes on Problem Formulation in Machine Learning
Razvan Amironesei, Emily Denton, Alex Hanna
IEEE Technology and Society Magazine
Conference Paper Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
Morgan Klaus Scheuerman, Emily Denton, Alex Hanna
2021 Conference on Computer Supported Cooperative Work (CSCW '21)
Best Paper Award
Journal Article On the Genealogy of Machine Learning Datasets: A Critical History of ImageNet
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole
Big Data & Society
Conference Paper Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices
Miceli Milagros, Tianling Yang, Laurens Naudts, Martin Schuessler, Diana Serbanescu, Alex Hanna
2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT '21)
Conference Paper Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT '21)

2020

Op-ed Timnit Gebru's Exit from Google Exposes a Crisis in AI
Alex Hanna and Meredith Whittaker
WIRED
Workshop Paper Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna
NeurIPS 2020 Workshop: ML Retrospectives, Surveys & Meta-analyses (ML-RSA)
Best Paper Award
Workshop Paper AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna, Amandalynne Paullada
NeurIPS 2020 Workshop: ML Retrospectives, Surveys & Meta-analyses (ML-RSA)
Workshop Paper Against Scale: Provocations and Resistances to Scale Thinking
Alex Hanna and Tina Park
CSCW 2020 Workshop: Reconsidering Scale and Scaling in CSCW Research
Workshop Paper Bringing the People Back In: Contesting Benchmark Machine Learning Datasets
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman
ICML 2020 Workshop: Participatory Approaches to Machine Learning (PAML)
Magazine article Lines of Sight
Alex Hanna, Emily Denton, Razvan Amironesei, Andrew Smart, Hilary Nicole
Logic Magazine
Conference paper Diversity and Inclusion Metrics in Subset Selection
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
AAAI/ACM Conference on AI, Ethics, and Society
Conference paper Towards a Critical Race Methodology in Algorithmic Fairness
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
2020 Conference on Fairness, Accountability, and Transparency (FAT* '20)

2019

Preprint Black Protest Events in the US 1994-2010: Issues, Campaigns, and Trends
Pamela Oliver, Alex Hanna, Chaeyoon Lim

2017

Preprint MPEDS: Automating the Generation of Protest Event Data
Alex Hanna
Book chapter / Blog post Being transgender on the academic job market
Alex Hanna
Reflections on Academic Lives: Identities, Struggles, and Triumphs in Graduate School and Beyond, eds. Staci Zavattaro and Shannon Orr.

2016

Journal article Dual Screening During Presidential Debates: Political Nonverbals and the Volume and Valence of Online Expression
Dhavan V. Shah, Alex Hanna, Erik P. Bucy, David S. Lassen, Jack Van Thomme, Kristen Bialik, JungHwan Yang, and Jon C. W. Pevehouse
American Behavioral Scientist. 60(14):1816-1843
Journal article Coproduction or cooptation? Real-time spin and social media response during the 2012 French and US presidential debates
Chris Wells, Jack Van Thomme, Peter Maurer, Alex Hanna, Jon C. W. Pevehouse, Dhavan V. Shah, Erik P. Bucy
French Politics. 14(2): 206-233

2015

Journal article Candidate Networks, Citizen Clusters, and Political Expression: Strategic Hashtag Use in the 2010 Midterms
Leticia Bode, Alex Hanna, JungHwan Yang, Dhavan V. Shah
The ANNALS of the American Academy of Political and Social Science 659(1): 149-165
Journal article The Power of Television Images in a Social Media Age: Linking Biobehavioral and Computational Approaches via the Second Screen
Dhavan V. Shah, Alex Hanna, Erik P. Bucy, Chris Wells, Vidal Quevedo
The ANNALS of the American Academy of Political and Social Science 659(1): 225-245
Book chapter Computational approaches to online political expression: Rediscovering a ‘science of the social’
Dhavan V. Shah, Kathleen Bartzen Culver, Alex Hanna, Timothy Macafee, JungHwan Yang
Handbook of Digital Politics, eds. Stephen Coleman and Deen Freelon

2013

Journal article Computer-aided content analysis of digitally-enabled movements
Alex Hanna
Mobilization: An International Quarterly 18(4): 367-388
Best Graduate Student Paper Award, ASA Section on Mathematical Sociology
Workshop Paper Partisan alignments and political polarization online: A computational approach to understanding the French and U.S. presidential elections
Alex Hanna, Chris Wells, Peter Maurer, Lew Friedland, Dhavan V. Shah, and Jörg Matthes
2nd workshop on Politics, elections and data (PLEAD '13)

2011

Conference Paper Mapping the political twitterverse: Candidates and their followers in the midterms
Alex Hanna, Ben Sayre, Leticia Bode, JungHwan Yang, Dhavan V. Shah
Fifth International AAAI Conference on Weblogs and Social Media (ICWSM)