Ding Wang

According to our database, Ding Wang authored at least 35 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation.

Sheza Munir, Benjamin Mah, Krisha Kalsi, Shivani Kapania, Julian Posada, Edith Law, Ding Wang, Syed Ishtiaque Ahmed

CoRR, February, 2026

Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity.

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

Trans. Mach. Learn. Res., 2026

Designing Around Stigma: Human-Centered LLMs for Menstrual Health.

Amna Shahnawaz, Ayesha Shafique, Ding Wang, Maryam Mustafa

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

Human Expertise for AI Red-Teaming and Scalable Evaluation.

Alice Qian, Srravya Chandhiramowuli, Laura Dabbish, Hong Shen, Alex S. Taylor, Ding Wang, Theodora Skeadas, Bolor-Erdene Jagdagdorj

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives.

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

CoRR, July, 2025

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models.

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

CoRR, July, 2025

The Case for "Thick Evaluations" of Cultural Representation in AI.

Rida Qadri, Mark Diaz, Ding Wang, Michael Madaio

CoRR, March, 2025

Nuanced Safety for Generative AI: How Demographics Shape Responsiveness to Severity.

Pushkar Mishra, Charvi Rastogi, Stephen R. Pfohl, Alicia Parrish, Roma Patel, Mark Diaz, Ding Wang, Michela Paganini, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser

CoRR, March, 2025

Unanticipated Lessons from Communities: Navigating Society-CenteredResearch in the AI Era.

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

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

Bridging Gaps in HCI: Advancing Education, Research, and Careers in Asia.

Dilrukshi Gamage, Shiwei Cheng, Preeti Mudliar, Zhicong Lu, Shengdong Zhao, Nova Ahmed, Xiaojuan Ma, Uichin Lee, Ding Wang

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

Making Data Work Count.

Srravya Chandhiramowuli, Alex S. Taylor, Sara Heitlinger, Ding Wang

Proc. ACM Hum. Comput. Interact., 2024

Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups.

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

CoRR, 2024

Socially Responsible Data for Large Multilingual Language Models.

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

CoRR, 2024

Discipline and Label: A WEIRD Genealogy and Social Theory of Data Annotation.

Andrew Smart, Ding Wang, Ellis Monk, Mark Díaz, Atoosa Kasirzadeh, Erin van Liemt, Sonja Schmer-Galunder

CoRR, 2024

Intersectionality in AI Safety: Using Multilevel Models to Understand Diverse Perceptions of Safety in Conversational AI.

Christopher Homan, Gregory Serapio-García, Lora Aroyo, Mark Diaz, Alicia Parrish, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang

Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP, 2024

GRASP: A Disagreement Analysis Framework to Assess Group Associations in Perspectives.

Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Aida Mostafazadeh Davani, Alicia Parrish, Alex S. Taylor, Mark Diaz, Ding Wang, Gregory Serapio-García

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations.

Michael Madaio, Shivani Kapania, Rida Qadri, Ding Wang, Andrew Zaldivar, Remi Denton, Lauren Wilcox

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

The Problems with Proxies: Making Data Work Visible through Requester Practices.

Annabel Rothschild, Ding Wang, Niveditha Jayakumar Vilvanathan, Lauren Wilcox, Carl DiSalvo, Betsy DiSalvo

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

A Framework to Assess (Dis)agreement Among Diverse Rater Groups.

Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex S. Taylor, Mark Díaz, Ding Wang

CoRR, 2023

Intersectionality in Conversational AI Safety: How Bayesian Multilevel Models Help Understand Diverse Perceptions of Safety.

Christopher M. Homan, Greg Serapio-García, Lora Aroyo, Mark Diaz, Alicia Parrish, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang

CoRR, 2023

The Reasonable Effectiveness of Diverse Evaluation Data.

Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex S. Taylor, Ding Wang

CoRR, 2023

DICES Dataset: Diversity in Conversational AI Evaluation for Safety.

Lora Aroyo, Alex S. Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

"I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models.

Vinitha Gadiraju, Shaun K. Kane, Sunipa Dev, Alex S. Taylor, Ding Wang, Emily Denton, Robin Brewer

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

A hunt for the Snark: Annotator Diversity in Data Practices.

Shivani Kapania, Alex S. Taylor, Ding Wang

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Citational justice and the politics of knowledge production.

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

Interactions, 2022

How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India.

Divya Ramesh, Vaishnav Kameswaran, Ding Wang, Nithya Sambasivan

CoRR, 2022

'We can't find fault with a friend': The Mediation of Accountability on Instant Loan Platforms in India.

Divya Ramesh, Vaishnav Kameswaran, Ding Wang, Nithya Sambasivan

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Whose AI Dream? In search of the aspiration in data annotation.

Ding Wang, Shantanu Prabhat, Nithya Sambasivan

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

The Future of Care Work: Towards a Radical Politics of Care in CSCW Research and Practice.

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

Proceedings of the Companion Publication of the 2021 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2021

The Global Labours of AI and Data Intensive Systems.

Benedetta Catanzariti, Srravya Chandhiramowuli, Suha Mohamed, Sarayu Natarajan, Shantanu Prabhat, Noopur Raval, Alex S. Taylor, Ding Wang

Proceedings of the Companion Publication of the 2021 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2021

2020

Please Call the Specialism: Using WeChat to Support Patient Care in China.

Ding Wang, Santosh D. Kale, Jacki O'Neill

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Making Chat at Home in the Hospital: Exploring Chat Use by Nurses.

Naveena Karusala, Ding Wang, Jacki O'Neill

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2018

Silent SIG: Reflection in Action at CHI.

Vanessa Thomas, Manu J. Brueggemann, Ding Wang, Laura Sanely Gaytán-Lugo, Nicola J. Bidwell

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

In the eye of a hurricane there is quiet, for just a moment, -.

Vanessa Thomas, Manu J. Brueggemann, Ding Wang, Andy Darby, Benjamin S. Wohl, Lindsay MacDonald Vermeulen, Oliver Bates, David Feldman

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Lickable Cities: Lick Everything in Sight and on Site.

Manu J. Brueggemann, Vanessa Thomas, Ding Wang

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018