Mining history with Le Monde. - Thomas Huet; Joanna Biega; Fabian M. Suchanek (AKBC@CIKM, 2013)

Inside YAGO2s: a transparent information extraction architecture. - Joanna Biega; Erdal Kuzey; Fabian M. Suchanek (WWW (Companion Volume), 2013)

Probabilistic Prediction of Privacy Risks in User Search Histories. - Joanna Biega; Ida Mele; Gerhard Weikum (PSBD@CIKM, 2014)

YAGO3: A Knowledge Base from Multilingual Wikipedias. - Farzaneh Mahdisoltani; Joanna Biega; Fabian M. Suchanek (CIDR, 2015)

IBEX: Harvesting Entities from the Web Using Unique Identifiers. - Aliaksandr Talaika; Joanna Biega; Antoine Amarilli; Fabian M. Suchanek (WebDB, 2015)

Harvesting Entities from the Web Using Unique Identifiers - IBEX. - Aliaksandr Talaika; Joanna Biega; Antoine Amarilli; Fabian M. Suchanek (CoRR, 2015)

YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames. - Thomas Rebele; Fabian M. Suchanek; Johannes Hoffart; Joanna Biega; Erdal Kuzey; Gerhard Weikum (ISWC (2), 2016)

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)

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)

Privacy of Hidden Profiles: Utility-Preserving Profile Removal in Online Forums. - Sedigheh Eslami; Asia J. Biega; Rishiraj Saha Roy; Gerhard Weikum (CIKM, 2017)

Privacy through Solidarity: A User-Utility-Preserving Framework to Counter Profiling. - Joanna Asia Biega; Rishiraj Saha Roy; Gerhard Weikum (SIGIR, 2017)

Equity of Attention: Amortizing Individual Fairness in Rankings. - Asia J. Biega; Krishna P. Gummadi; Gerhard Weikum (SIGIR, 2018)

Enhancing Privacy and Fairness in Search Systems. - Joanna Biega (2018)

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)

On the Impact of Choice Architectures on Inequality in Online Donation Platforms. - Abhijnan Chakraborty; Nuno Mota; Asia J. Biega; Krishna P. Gummadi; Hoda Heidari (WWW, 2019)

Report on the First HIPstIR Workshop on the Future of Information Retrieval. - Laura Dietz; Bhaskar Mitra 001; Jeremy Pickens; Hana Anber; Sandeep Avula; Asia Biega; Adrian Boteanu; Shubham Chatterjee; Jeff Dalton 001; Shiri Dori-Hacohen; John Foley; Henry Feild; et al. (SIGIR Forum, 2019)

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. - Alexandra Olteanu; Jean Garcia-Gathright; Maarten de Rijke; Michael D. Ekstrand; Adam Roegiest; Aldo Lipani; Alex Beutel; Ana Lucic; Ana-Andreea Stoica; Anubrata Das 001; Asia Biega; Bart Voorn; et al. (SIGIR Forum, 2019)

Evaluating Stochastic Rankings with Expected Exposure. - Fernando Diaz 001; Bhaskar Mitra 001; Michael D. Ekstrand; Asia J. Biega; Ben Carterette (CIKM, 2020)

Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions. - Asia J. Biega; Jana Schmidt; Rishiraj Saha Roy (ECIR (2), 2020)

When not to design, build, or deploy. - Solon Barocas; Asia J. Biega; Benjamin Fish; Jedrzej Niklas; Luke Stark (FAT*, 2020)

Operationalizing the Legal Principle of Data Minimization for Personalization. - Asia J. Biega; Peter Potash; Hal Daumé III; Fernando Diaz 001; Michèle Finck (SIGIR, 2020)

Overview of the TREC 2019 Fair Ranking Track. - Asia J. Biega; Fernando Diaz 001; Michael D. Ekstrand; Sebastian Kohlmeier (CoRR, 2020)

On the Desiderata for Online Altruism: Nudging for Equitable Donations. - Nuno Mota; Abhijnan Chakraborty; Asia J. Biega; Krishna P. Gummadi; Hoda Heidari (Proc. ACM Hum. Comput. Interact., 2020)

Estimation of Fair Ranking Metrics with Incomplete Judgments. - Ömer Kirnap; Fernando Diaz 001; Asia Biega; Michael D. Ekstrand; Ben Carterette; Emine Yilmaz (WWW, 2021)

Responsible computing during COVID-19 and beyond. - Solon Barocas; Asia J. Biega; Margarita Boyarskaya; Kate Crawford 002; Hal Daumé III; Miroslav Dudík; Benjamin Fish; Mary L. Gray; Brent J. Hecht; Alexandra Olteanu; Forough Poursabzi-Sangdeh; Luke Stark; et al. (Commun. ACM, 2021)

Reviving Purpose Limitation and Data Minimisation in Personalisation, Profiling and Decision-Making Systems. - Michèle Finck; Asia Biega (CoRR, 2021)

Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice. - Divya Shanmugam; Samira Shabanian; Fernando Diaz 001; Michèle Finck; Asia Biega (CoRR, 2021)

Overview of the TREC 2020 Fair Ranking Track. - Asia J. Biega; Fernando Diaz 001; Michael D. Ekstrand; Sergey Feldman; Sebastian Kohlmeier (CoRR, 2021)

(Re)Politicizing Digital Well-Being: Beyond User Engagements. - Niall Docherty; Asia J. Biega (CHI, 2022)

Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization. - Divya Shanmugam; Fernando Diaz 001; Samira Shabanian; Michèle Finck; Asia Biega (FAccT, 2022)

Exposing Query Identification for Search Transparency. - Ruohan Li; Jianxiang Li; Bhaskar Mitra 001; Fernando Diaz 001; Asia J. Biega (WWW, 2022)

Integrative Objects in Sociotechnical Contexts: Constructing Digital Well-Being with Generic Epistemology. - Magdalena Krysztoforska; Niall Docherty; Asia J. Biega (CHI, 2023)

Investigating Deceptive Design in GDPR's Legitimate Interest. - Lin Kyi; Sushil Ammanaghatta Shivakumar; Cristiana Teixeira Santos; Franziska Roesner; Frederike Zufall; Asia J. Biega (CHI, 2023)

On the Trade-Off between Actionable Explanations and the Right to be Forgotten. - Martin Pawelczyk; Tobias Leemann; Asia Biega; Gjergji Kasneci (ICLR, 2023)

Dissatisfaction Induced by Pairwise Swaps. - Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Asia J. Biega (IIR, 2023)

The Role of Relevance in Fair Ranking. - Aparna Balagopalan; Abigail Z. Jacobs; Asia J. Biega (SIGIR, 2023)

Pairwise Fairness in Ranking as a Dissatisfaction Measure. - Alessandro Fabris; Gianmaria Silvello; Gian Antonio Susto; Asia J. Biega (WSDM, 2023)

Expanding Explainability: From Explainable Artificial Intelligence to Explainable Hardware. - Timo Speith; Julian Speith; Steffen Becker 003; Yixin Zou; Asia Biega; Christof Paar (CoRR, 2023)

Data Repurposing through Compatibility: A Computational Perspective. - Asia J. Biega (CoRR, 2023)

Fairness and Bias in Algorithmic Hiring. - Alessandro Fabris; Nina Baranowska; Matthew J. Dennis; Philipp Hacker; Jorge Saldivar; Frederik J. Zuiderveen Borgesius; Asia J. Biega (CoRR, 2023)

"It doesn't tell me anything about how my data is used": User Perceptions of Data Collection Purposes. - Lin Kyi; Abraham Mhaidli; Cristiana Teixeira Santos; Franziska Roesner; Asia J. Biega (CHI, 2024)

Data Protection in Data-Driven IR Systems. - Asia J. Biega (IIR, 2024)

Explainability as a Requirement for Hardware: Introducing Explainable Hardware (XHW). - Timo Speith; Julian Speith; Steffen Becker 003; Yixin Zou; Asia Biega; Christof Paar (RE, 2024)

"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 005; Asia J. Biega (USENIX Security Symposium, 2024)

Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review. - Amruta Mahuli; Asia Biega (CoRR, 2024)

The trade-off between data minimization and fairness in collaborative filtering. - Nasim Sonboli; Sipei Li; Mehdi Elahi; Asia Biega (CoRR, 2024)

Turning to Online Forums for Legal Information: A Case Study of GDPR's Legitimate Interests. - Lin Kyi; Cristiana Teixeira Santos; Sushil Ammanaghatta Shivakumar; Franziska Roesner; Asia Biega (APF, 2025)

Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond. - Lin Kyi; Amruta Mahuli; Michael Six Silberman; Reuben Binns; Jun Zhao 003; Asia J. Biega (CHI, 2025)

What's in a Query: Polarity-Aware Distribution-Based Fair Ranking. - Aparna Balagopalan; Kai Wang 071; Olawale Salaudeen; Asia Biega; Marzyeh Ghassemi (WWW, 2025)

Developing a Fair Online Recruitment Framework Based on Job-seekers' Fairness Concerns. - Changyang He; Yue Deng 003; Alessandro Fabris; Bo Li 001; Asia Biega (CoRR, 2025)

Towards a Multidisciplinary Vision for Culturally Inclusive Generative AI (Dagstuhl Seminar 25022). - Asia Biega; Georgina Born; Fernando Diaz 001; Mary L. Gray; Rida Qadri (Dagstuhl Reports, 2025)

"Make the Voodoo Box Go Bleep Bloop:" Exploring End Users' Understanding and Information Needs Regarding Microchips. - Julian Speith; Steffen Becker 003; Timo Speith; Markus Weber; Yixin Zou; Asia Biega; Christof Paar (CoRR, 2025)

Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey. - Alessandro Fabris; Nina Baranowska; Matthew J. Dennis; David Graus; Philipp Hacker; Jorge Saldivar; Frederik J. Zuiderveen Borgesius; Asia J. Biega (ACM Trans. Intell. Syst. Technol., 2025)

Reinforcement Learning for Durable Algorithmic Recourse. - Marina Ceccon; Alessandro Fabris; Goran Radanovic; Asia J. Biega; Gian Antonio Susto (CoRR, 2025)