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ORCIDDing Wang 0006
Person information
- affiliation: Google Research, Atlanta, GA, USA
Other persons with the same name
- Ding Wang — disambiguation page
- Ding Wang 0001
![[0000-0002-7149-5712]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7149-5712")
— Beijing University of Technology, Faculty of Information Technology, China (and 1 more) - Ding Wang 0002 — Nankai University, College of Cyber Science, Tianjin, China (and 2 more)
- Ding Wang 0003 — National Digital Switching System Engineering and Technology Research Center, Zhengzhou, China (and 2 more)
- Ding Wang 0004 — University of International Relations, School of Information Science and Technology, Beijing, China
- Ding Wang 0005 — North University of China, Key Laboratory of Quantum Sensing and Precision Measurement, Taiyuan, China
- Ding Wang 0007 — Northwestern Polytechnical University, School of Management, Xi'an, China
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2020 – today
- 2026
[j3]Pushkar Mishra, Charvi Rastogi, Stephen R. Pfohl, Alicia Parrish, Tian Huey Teh, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser:
Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity. Trans. Mach. Learn. Res. 2026 (2026)- [i16]Sheza Munir, Benjamin Mah, Krisha Kalsi, Shivani Kapania, Julian Posada, Edith Law, Ding Wang, Syed Ishtiaque Ahmed:
Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation. CoRR abs/2602.11318 (2026) - 2025
- [c15]Dilrukshi Gamage, Shiwei Cheng, Preeti Mudliar, Zhicong Lu, Shengdong Zhao, Nova Ahmed, Xiaojuan Ma, Uichin Lee, Ding Wang:
Bridging Gaps in HCI: Advancing Education, Research, and Careers in Asia. CHI Extended Abstracts 2025: 758:1-758:4 - [c14]Ding Wang, Remi Denton, Anoop K. Sinha, Shruti Sheth, Lauren Wilcox, Maryam Mustafa, Motahhare Eslami, Ken Holstein, Maarten Sap, Angela D. R. Smith, Andrea G. Parker, Neha Kumar, Naveena Karusala, Tawanna R. Dillahunt, Jared Lee Katzman:
Unanticipated Lessons from Communities: Navigating Society-CenteredResearch in the AI Era. CHI Extended Abstracts 2025: 865:1-865:3 - [i15]Pushkar Mishra, Charvi Rastogi, Stephen R. Pfohl, Alicia Parrish, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser:
Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity. CoRR abs/2503.05609 (2025) - [i14]Rida Qadri, Mark Diaz, Ding Wang, Michael Madaio:
The Case for "Thick Evaluations" of Cultural Representation in AI. CoRR abs/2503.19075 (2025) - [i13]Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Ding Wang, Mark Díaz, Alicia Parrish, Aida Mostafazadeh Davani, Zoe Ashwood, Michela Paganini, Vinodkumar Prabhakaran, Verena Rieser, Lora Aroyo:
Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models. CoRR abs/2507.13383 (2025) - [i12]Ding Wang, Mark Díaz, Charvi Rastogi, Aida Mostafazadeh Davani, Vinodkumar Prabhakaran, Pushkar Mishra, Roma Patel, Alicia Parrish, Zoe Ashwood, Michela Paganini, Tian Huey Teh, Verena Rieser, Lora Aroyo:
"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives. CoRR abs/2507.16033 (2025) - 2024
- [j2]Srravya Chandhiramowuli, Alex S. Taylor, Sara Heitlinger, Ding Wang:
Making Data Work Count. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-26 (2024) - [c13]Annabel Rothschild, Ding Wang, Niveditha Jayakumar Vilvanathan, Lauren Wilcox, Carl DiSalvo, Betsy DiSalvo:
The Problems with Proxies: Making Data Work Visible through Requester Practices. AIES (1) 2024: 1255-1268 - [c12]Michael Madaio, Shivani Kapania, Rida Qadri, Ding Wang, Andrew Zaldivar, Remi Denton, Lauren Wilcox:
Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations. FAccT 2024: 1544-1558 - [c11]Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex S. Taylor, Mark Diaz, Ding Wang, Gregory Serapio-García:
GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives. NAACL-HLT 2024: 3473-3492 - [i11]Andrew Smart, Ding Wang, Ellis Monk, Mark Díaz, Atoosa Kasirzadeh, Erin van Liemt, Sonja Schmer-Galunder:
Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation. CoRR abs/2402.06811 (2024) - [i10]Annabel Rothschild, Ding Wang, Niveditha Jayakumar Vilvanathan, Lauren Wilcox, Carl DiSalvo, Betsy DiSalvo:
The Problems with Proxies: Making Data Work Visible through Requester Practices. CoRR abs/2408.11667 (2024) - [i9]Andrew Smart, Ben Hutchinson, Lameck Mbangula Amugongo, Suzanne Dikker, Alex Zito, Amber Ebinama, Zara Wudiri, Ding Wang, Erin van Liemt, João Sedoc, Seyi Olojo, Stanley Uwakwe, Edem Wornyo, Sonja Schmer-Galunder, Jamila Smith-Loud:
Socially Responsible Data for Large Multilingual Language Models. CoRR abs/2409.05247 (2024) - [i8]Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Zoe Ashwood, Aida Mostafazadeh Davani, Mark Diaz, Michela Paganini, Alicia Parrish, Ding Wang, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser:
Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups. CoRR abs/2410.17032 (2024) - 2023
- [c10]Shivani Kapania, Alex S. Taylor, Ding Wang:
A hunt for the Snark: Annotator Diversity in Data Practices. CHI 2023: 133:1-133:15 - [c9]Vinitha Gadiraju, Shaun K. Kane, Sunipa Dev, Alex S. Taylor, Ding Wang, Emily Denton, Robin Brewer:
"I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models. FAccT 2023: 205-216 - [c8]Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang:
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. NeurIPS 2023 - [i7]Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang:
The Reasonable Effectiveness of Diverse Evaluation Data. CoRR abs/2301.09406 (2023) - [i6]Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang:
DICES Dataset: Diversity in Conversational AI Evaluation for Safety. CoRR abs/2306.11247 (2023) - [i5]Christopher M. Homan, Greg Serapio-García, Lora Aroyo, Mark Diaz, Alicia Parrish, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang:
Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety. CoRR abs/2306.11530 (2023) - [i4]Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang:
A Framework to Assess (Dis)agreement Among Diverse Rater Groups. CoRR abs/2311.05074 (2023) - [i3]Srravya Chandhiramowuli, Alex S. Taylor, Sara Heitlinger, Ding Wang:
Making Data Work Count. CoRR abs/2311.18046 (2023) - 2022
- [j1]Citational Justice Collective, Syed Ishtiaque Ahmed, Sareeta Amrute, Jeffrey Bardzell, Shaowen Bardzell, Nicola J. Bidwell, Tawanna Dillahunt, Sane Gaytán, Naveena Karusala, Neha Kumar, Rigoberto Lara Guzmán, Maryam Mustafa, Bonnie A. Nardi, Lisa P. Nathan, Nassim Parvin, Beth Patin, Pedro Reynolds-Cuéllar, Rebecca Rouse, Katta Spiel, Soraia Silva Prietch, Ding Wang, Marisol Wong-Villacrés:
Citational justice and the politics of knowledge production. Interactions 29(5): 78-82 (2022) - [c7]Ding Wang, Shantanu Prabhat, Nithya Sambasivan:
Whose AI Dream? In search of the aspiration in data annotation. CHI 2022: 582:1-582:16 - [c6]Divya Ramesh, Vaishnav Kameswaran, Ding Wang, Nithya Sambasivan:
'We can't find fault with a friend': The Mediation of Accountability on Instant Loan Platforms in India. FAccT 2022: 1917-1928 - [i2]Ding Wang, Shantanu Prabhat, Nithya Sambasivan:
Whose AI Dream? In search of the aspiration in data annotation. CoRR abs/2203.10748 (2022) - [i1]Divya Ramesh, Vaishnav Kameswaran, Ding Wang, Nithya Sambasivan:
How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India. CoRR abs/2205.05661 (2022) - 2021
- [c5]Benedetta Catanzariti, Srravya Chandhiramowuli, Suha Mohamed, Sarayu Natarajan, Shantanu Prabhat, Noopur Raval, Alex S. Taylor, Ding Wang:
The Global Labours of AI and Data Intensive Systems. CSCW Companion 2021: 319-322 - [c4]Naveena Karusala, Azra Ismail, Karthik S. Bhat, Aakash Gautam, Sachin R. Pendse, Neha Kumar, Richard Anderson, Madeline Balaam, Shaowen Bardzell, Nicola J. Bidwell, Melissa Densmore, Elizabeth Kaziunas, Anne Marie Piper, Noopur Raval, Pushpendra Singh, Austin Toombs, Nervo Verdezoto Dias, Ding Wang:
The Future of Care Work: Towards a Radical Politics of Care in CSCW Research and Practice. CSCW Companion 2021: 338-342 - 2020
- [c3]Naveena Karusala, Ding Wang, Jacki O'Neill:
Making Chat at Home in the Hospital: Exploring Chat Use by Nurses. CHI 2020: 1-15 - [c2]Ding Wang, Santosh D. Kale, Jacki O'Neill:
Please Call the Specialism: Using WeChat to Support Patient Care in China. CHI 2020: 1-13
2010 – 2019
- 2018
- [c1]Vanessa Thomas, Manu J. Brueggemann, Ding Wang, Laura Sanely Gaytán-Lugo, Nicola J. Bidwell:
Silent SIG: Reflection in Action at CHI. CHI Extended Abstracts 2018
Coauthor Index
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