Publications
Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond
Lin Kyi, Amruta Mahuli, M. Six Silberman, Reuben Binns, Jun Zhao, and Asia Biega
(CHI 2025) The ACM CHI Conference on Human Factors in Computing Systems
What’s in a Query: Polarity-aware Distribution-based Fair Ranking
Aparna Balagopalan, Kai Wang, Olawale Elijah Salaudeen, Asia Biega, Marzyeh Ghassemi
(WWW 2025) The Web Conference 2025
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey
Alessandro Fabris, Nina Baranowska, Matthew J. Dennis, David Graus, Philipp Hacker, Jorge Saldivar, Frederik Zuiderveen Borgesius, Asia J. Biega
ACM Transactions on Intelligent Systems and Technology, 2025
[PDF]
- Featured in the Montreal AI Ethics Brief.
“I’m not convinced that they don’t collect more than is necessary”: User-Controlled Data Minimization Design in Search Engines
Tanusree Sharma, Lin Kyi, Yang Wang, Asia J. Biega
(Usenix Security 2024) 33rd Usenix Security Symposium
[PDF]
“It doesn’t tell me anything about how my data is used”: User Perceptions of Data Collection Purposes
Lin Kyi, Abraham Mhaidli, Cristiana Santos, Franziska Roesner, Asia J. Biega
(CHI 2024) The ACM CHI Conference on Human Factors in Computing Systems
[PDF]
- Featured in the Montreal AI Ethics Brief.
- Invited for presentation at the French Data Protection Authority (CNIL).
Data Repurposing through Compatibility: A Computational Perspective
Asia J. Biega
Special Issue of the Journal of Institutional and Theoretical Economics on “Machine Learning and the Law”, 2024
[publisher version][author preprint]
- Invited contribution for the interdisciplinary JITE Symposium on Machine Learning and the Law of the Max Planck Institute for Research on Collective Goods.
Algorithmically Mediated User Relations: Exploring Data’s Relationality in Recommender Systems
Athina Kyriakou, Oana Inel, Asia Biega, Abraham Bernstein
(Regulatable ML @ NeurIPS 2023) Regulatable ML Workshop at the Thirty-seventh Annual Conference on Neural Information Processing Systems
[PDF]
The Role of Relevance in Fair Ranking
Aparna Balagopalan, Abigail Z. Jacobs, Asia J. Biega
(SIGIR 2023) The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF]
- Featured in the Montreal AI Ethics Brief.
On the Trade-Off between Actionable Explanations and the Right to be Forgotten
Martin Pawelczyk, Tobias Leemann, Asia Biega, and Gjergji Kasneci
(ICLR 2023) The 11th International Conference on Learning Representations
[PDF]
Investigating Deceptive Design in GDPR’s Legitimate Interest
Lin Kyi, Sushil Ammanaghatta Shivakumar, Franziska Roesner, Cristiana Santos, Frederike Zufall, and Asia J. Biega
(CHI 2023) The ACM CHI Conference on Human Factors in Computing Systems
[PDF]
Council of Europe’s 2024 Stefano Rodotà Award
- Selected for presentation at the French Data Protection Authority’s CNIL Privacy Research Day 2023.
- Prelimiary version selected for presentation at the Berkeley Center for Long-Term Cybersecurity‘s annual research symposium on “Comparing Effects of and Responses to the GDPR and CCPA/CPRA”.
Integrative Objects in Sociotechnical Contexts: Constructing Digital Well-Being with Generic Epistemology
Magdalena Krysztoforska, Niall Docherty, Asia J. Biega
(CHI 2023) The ACM CHI Conference on Human Factors in Computing Systems
[PDF]
Pairwise Fairness in Ranking as a Dissatisfaction Measure
Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega
(WSDM 2023) The 16th ACM International Conference on Web Search and Data Mining
[PDF]
Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization
Divya Shanmugam, Fernando Diaz, Samira Shabanian, Michèle Finck, Asia J. Biega
(FAccT 2022) The ACM Conference on Fairness, Accountability, and Transparency
[PDF]
- Our proposal to use scaling laws as a tool for data minimization compliance is now an official recommendation in Norwegian Digitalization Agency’s Guidelines for the Responsible Use and Development of Artificial Intelligence (in Norwegian). You can find it under: Privacy (Personvern) -> Privacy for those who will develop artificial intelligence (Personvern for deg som skal utvikle kunstig intelligens) -> Guidelines for scaling (Retningslinjer for skalering).
(Re)Politicizing Digital Well-Being: Beyond User Engagements
Niall Docherty, Asia J. Biega
(CHI 2022) The ACM CHI Conference on Human Factors in Computing Systems
[PDF]
- Featured in the Montreal AI Ethics Brief. Direct link to the research summary.
Exposing Query Identification for Search Transparency
Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega
(WWW 2022) The ACM Web Conference 2022
[PDF]
Reviving Purpose Limitation and Data Minimisation in Data-Driven Systems
Asia J. Biega, Michèle Finck
Technology and Regulation, 2021
[PDF]
Estimation of Fair Ranking Metrics with Incomplete Judgments
Omer Kirnap, Fernando Diaz, Asia J. Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz
(WWW 2021) The ACM Web Conference 2021
[PDF]
Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz and Michèle Finck
(SIGIR 2020) The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF]
- Included as a reference on data minimisation in the Handbook on Data Protection and Privacy for Developers of Artificial Intelligence (AI) in India.
On the Desiderata for Online Altruism: Nudging for Equitable Donations
Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
(CSCW 2020) The 23rd ACM Conference on Computer-Supported Cooperative Work and Social Computing
[PDF]
Evaluating Stochastic Rankings with Expected Exposure
Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
(CIKM 2020) The 29th ACM International Conference on Information and Knowledge Management
Best Paper Award Nominee
[PDF]
Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions
Asia J. Biega, Jana Schmidt, Rishiraj Saha Roy
(ECIR 2020) The 42nd European Conference on Information Retrieval, short paper
[PDF][Extended version]
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform
Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty
(KDD 2019) The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF]
On the Impact of Choice Architectures on Inequality in Online Donation Platforms
Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi and Hoda Heidari
(WWW 2019) The Web Conference 2019, short paper
[PDF]
Enhancing Privacy and Fairness in Search Systems
Joanna Biega
(PhD Thesis, 2019) Saarland University
- DBIS Dissertation Award of the German Informatics Society
[PDF]
Equity of Attention: Amortizing Individual Fairness in Rankings
Asia J. Biega, Krishna P. Gummadi, Gerhard Weikum
(SIGIR 2018) The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF]
Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities
Asia J. Biega, Azin Ghazimatin, Hakan Ferhatosmanoglu, Krishna P. Gummadi, Gerhard Weikum
(CIKM 2017) The 26th ACM International Conference on Information and Knowledge Management
[PDF]
Privacy of Hidden Profiles: Utility-Preserving Profile Removal in Online Forums
Sedigheh Eslami, Asia J. Biega, Rishiraj Saha Roy, Gerhard Weikum
(CIKM 2017) The 26th ACM International Conference on Information and Knowledge Management, short paper
[PDF]
Fair Sharing for Sharing Economy Platforms
Abhijnan Chakraborty, Asia J. Biega, Aniko Hannak, Krishna P. Gummadi
(FATREC@RECSYS 2017) The FATREC Workshop on Responsible Recommendation
[PDF]
Privacy through Solidarity: A User-Utility-Preserving Framework to Counter Profiling
Asia J. Biega, Rishiraj Saha Roy, Gerhard Weikum
(SIGIR 2017) The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF]
R-Susceptibility: An IR-Centric Approach to Assessing Privacy Risks for Users in Online Communities
Joanna Asia Biega, Krishna P. Gummadi, Ida Mele, Dragan Milchevski, Christos Tryfonopoulos, Gerhard Weikum
(SIGIR 2016) The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval
[PDF]
YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames
Thomas Rebele, Fabian M. Suchanek, Johannes Hoffart, Joanna Asia Biega, Erdal Kuzey, Gerhard Weikum
(ISWC 2016) The 15th International Semantic Web Conference, short paper
[PDF]
IBEX: Harvesting Entities from the Web Using Unique Identifiers
Aliaksandr Tailaika, Joanna Biega, Antoine Amarilli, Fabian M. Suchanek
(WebDB@SIGMOD 2015) The 18th International Workshop on the Web and Databases
[PDF] [Technical report]
YAGO3: A Knowledge Base from Multilingual Wikipedias
Farzaneh Mahdisoltani, Joanna Biega, Fabian M. Suchanek
(CIDR 2015) The 7th Biennial Conference on Innovative Data Systems Research
[PDF]
Probabilistic Prediction of Privacy Risks in User Search Histories
Joanna Biega, Ida Mele, Gerhard Weikum
(PSBD@CIKM 2014) The 1st International Workshop on Privacy and Security of Big Data
[PDF]
Mining History with Le Monde
Thomas Huet, Joanna Biega, Fabian M. Suchanek
(AKBC@CIKM 2013) The 3rd Workshop on Automated Knowledge Base Construction
[PDF]
Inside YAGO2s: A Transparent Information Extraction Architecture
Joanna Biega, Erdal Kuzey, Fabian M. Suchanek
(WWW 2013 – demo) The 22nd International World Wide Web Conference
[PDF] [prezi]
Reports and Opinion Pieces
Responsible Computing During COVID-19 and Beyond
Solon Barocas, Asia J. Biega, Margarita Boyarskaya, Kate Crawford et al.
(Communications of the ACM) July 2021, Vol. 64 No. 7, Pages 30-32
[article]
Overview of the TREC 2020 Fair Ranking Track
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sergey Feldman, Sebastian Kohlmeier
(TREC 2020) The 29th Text REtrieval Conference Proceedings
[PDF]
Overview of the TREC 2019 Fair Ranking Track
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sebastian Kohlmeier
(TREC 2019) The 28th Text REtrieval Conference Proceedings
[PDF]
FACTS-IR: Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval
Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand et al.
(SIGIR Forum) December 2019, Volume 53 Number 2, pp 20–43
[PDF]
Report on the First HIPstIR Workshop on the Future of Information Retrieval
Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber et al.
(SIGIR Forum) December 2019, Vol. 53 No. 2, Pages 62–75
[PDF]