Understanding and Evaluating Racial Biases in Image Captioning. - Dora Zhao; Angelina Wang; Olga Russakovsky (ICCV, 2021)

Understanding Teenage Perceptions and Configurations of Privacy on Instagram. - Dora Zhao; Mikako Inaba; Andrés Monroy-Hernández (CoRR, 2022)

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. - Angelina Wang; Alexander Liu; Ryan Zhang; Anat Kleiman; Leslie Kim; Dora Zhao; Iroha Shirai; Arvind Narayanan; Olga Russakovsky (Int. J. Comput. Vis., 2022)

Augmented Datasheets for Speech Datasets and Ethical Decision-Making. - Orestis Papakyriakopoulos; Anna Seo Gyeong Choi; William Thong; Dora Zhao; Jerone Theodore Alexander Andrews; Rebecca Bourke; Alice Xiang; Allison Koenecke (FAccT, 2023)

Gender Artifacts in Visual Datasets. - Nicole Meister; Dora Zhao; Angelina Wang; Vikram V. Ramaswamy; Ruth Fong; Olga Russakovsky (ICCV, 2023)

Men Also Do Laundry: Multi-Attribute Bias Amplification. - Dora Zhao; Jerone Theodore Alexander Andrews; Alice Xiang (ICML, 2023)

Ethical Considerations for Responsible Data Curation. - Jerone Theodore Alexander Andrews; Dora Zhao; William Thong; Apostolos Modas; Orestis Papakyriakopoulos; Alice Xiang (NeurIPS, 2023)

GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition. - Vikram V. Ramaswamy; Sing Yu Lin; Dora Zhao; Aaron Adcock; Laurens van der Maaten; Deepti Ghadiyaram; Olga Russakovsky (NeurIPS, 2023)

Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset. - Vikram V. Ramaswamy; Sing Yu Lin; Dora Zhao; Aaron B. Adcock; Laurens van der Maaten; Deepti Ghadiyaram; Olga Russakovsky (CoRR, 2023)

Ethical Considerations for Collecting Human-Centric Image Datasets. - Jerone T. A. Andrews; Dora Zhao; William Thong; Apostolos Modas; Orestis Papakyriakopoulos; Shruti Nagpal; Alice Xiang (CoRR, 2023)

Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes. - Yusuke Hirota; Jerone Theodore Alexander Andrews; Dora Zhao; Orestis Papakyriakopoulos; Apostolos Modas; Yuta Nakashima; Alice Xiang (EMNLP, 2024)

Position: Measure Dataset Diversity, Don't Just Claim It. - Dora Zhao; Jerone T. A. Andrews; Orestis Papakyriakopoulos; Alice Xiang (ICML, 2024)

A Taxonomy of Challenges to Curating Fair Datasets. - Dora Zhao; Morgan Klaus Scheuerman; Pooja Chitre; Jerone Theodore Alexander Andrews; Georgia Panagiotidou; Shawn Walker; Kathleen H. Pine; Alice Xiang (NeurIPS, 2024)

SPHERE: An Evaluation Card for Human-AI Systems. - Dora Zhao; Qianou Ma; Xinran Zhao; Chenglei Si; Chenyang Yang 002; Ryan Louie; Ehud Reiter; Diyi Yang; Tongshuang Wu (ACL (Findings), 2025)

Mapping the Spiral of Silence: Surveying Unspoken Opinions in Online Communities. - Dora Zhao; Diyi Yang; Michael S. Bernstein (CoRR, 2025)

Alexandria: A Library of Pluralistic Values for Realtime Re-Ranking of Social Media Feeds. - Akaash Kolluri; Renn Su; Farnaz Jahanbakhsh; Dora Zhao; Tiziano Piccardi; Michael S. Bernstein (CoRR, 2025)

Knoll: Creating a Knowledge Ecosystem for Large Language Models. - Dora Zhao; Diyi Yang; Michael S. Bernstein (CoRR, 2025)

The Rise of AI Companions: How Human-Chatbot Relationships Influence Well-Being. - Yutong Zhang; Dora Zhao; Jeffrey T. Hancock; Robert E. Kraut; Diyi Yang (CoRR, 2025)

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? - Yiwei Yang 009; Chung Peng Lee; Shangbin Feng; Dora Zhao; Bingbing Wen; Anthony Z. Liu; Yulia Tsvetkov; Bill Howe (CoRR, 2025)