Nicholas Vincent

According to our database, Nicholas Vincent authored at least 32 papers between 2015 and 2024.

Collaborative distances:

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

2024

A step forward in tracing and documenting dataset provenance.

Nicholas Vincent

Nat. Mac. Intell., 2024

Responsible AI in Open Ecosystems: Reconciling Innovation with Risk Assessment and Disclosure.

Mahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent, Seth Frey

CoRR, 2024

Push and Pull: A Framework for Measuring Attentional Agency.

Zachary Wojtowicz, Shrey Jain, Nicholas Vincent

CoRR, 2024

Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities.

Leijie Wang, Nicholas Vincent, Julija Rukanskaite, Amy Xian Zhang

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

A Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training.

Heila Precel, Allison McDonald, Brent J. Hecht, Nicholas Vincent

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Peer Produced Friction: How Page Protection on Wikipedia Affects Editor Engagement and Concentration.

Leah Ajmani, Nicholas Vincent, Stevie Chancellor

Proc. ACM Hum. Comput. Interact., 2023

An Alternative to Regulation: The Case for Public AI.

Nicholas Vincent, David Bau, Sarah Schwettmann, Joshua Tan

CoRR, 2023

Retracted Articles about COVID-19 Vaccines Enable Vaccine Misinformation on Twitter.

Rod Abhari, Esteban Villa-Turek, Nicholas Vincent, Henry K. Dambanemuya, Emoke-Ágnes Horvát

CoRR, 2023

The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers.

Hanlin Li, Nicholas Vincent, Stevie Chancellor, Brent J. Hecht

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

Can Licensing Mitigate the Negative Implications of Commercial Web Scraping?

Hanlin Li, Nicholas Vincent, Yacine Jernite, Nick Merrill, Jesse Josua Benjamin, Alek Tarkowski

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

Epistemic Injustice in Online Communities: Unpacking the Values of Knowledge Creation and Curation within CSCW Applications.

Leah Ajmani, Mo Houtti, Jasmine C. Foriest, Michael Ann DeVito, Nicholas Vincent, Isaac L. Johnson

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022

Twitter Engagement with Retracted Articles: Who, When, and How?

Rod Abhari, Nicholas Vincent, Henry K. Dambanemuya, Herminio Bodon, Emoke-Ágnes Horvát

CoRR, 2022

Behavioral Use Licensing for Responsible AI.

Danish Contractor, Daniel McDuff, Julia Katherine Haines, Jenny Lee, Christopher Hines, Brent J. Hecht, Nicholas Vincent, Hanlin Li

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

Ethical Tensions, Norms, and Directions in the Extraction of Online Volunteer Work.

Hanlin Li, Leah Ajmani, Moyan Zhou, Nicholas Vincent, Sohyeon Hwang, Tiziano Piccardi, Sneha Narayan, Sherae Daniel, Veniamin Veselovsky

Proceedings of the Companion Computer Supported Cooperative Work and Social Computing, 2022

Misleading Tweets and Helpful Notes: Investigating Data Labor by Twitter Birdwatch Users.

Isaiah Jones, Brent J. Hecht, Nicholas Vincent

Proceedings of the Companion Computer Supported Cooperative Work and Social Computing, 2022

2021

Preview of "Data and its (dis)contents: A survey of dataset development and use in machine learning research".

Nicholas Vincent, Brent J. Hecht

Patterns, 2021

Can "Conscious Data Contribution" Help Users to Exert "Data Leverage" Against Technology Companies?

Nicholas Vincent, Brent J. Hecht

Proc. ACM Hum. Comput. Interact., 2021

A Deeper Investigation of the Importance of Wikipedia Links to Search Engine Results.

Nicholas Vincent, Brent J. Hecht

Proc. ACM Hum. Comput. Interact., 2021

Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus.

Jack Bandy, Nicholas Vincent

CoRR, 2021

Addressing "Documentation Debt" in Machine Learning: A Retrospective Datasheet for BookCorpus.

Jack Bandy, Nicholas Vincent

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms.

Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies.

Nicholas Vincent, Hanlin Li, Nicole Tilly, Stevie Chancellor, Brent J. Hecht

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media.

Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

A Deeper Investigation of the Importance of Wikipedia Links to the Success of Search Engines.

Nicholas Vincent, Brent J. Hecht

CoRR, 2020

2019

How Do People Change Their Technology Use in Protest?: Understanding.

Hanlin Li, Nicholas Vincent, Janice Y. Tsai, Jofish Kaye, Brent J. Hecht

Proc. ACM Hum. Comput. Interact., 2019

Mapping the Potential and Pitfalls of "Data Dividends" as a Means of Sharing the Profits of Artificial Intelligence.

Nicholas Vincent, Yichun Li, Renee Zha, Brent J. Hecht

CoRR, 2019

"Data Strikes": Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies.

Nicholas Vincent, Brent J. Hecht, Shilad Sen

Proceedings of the World Wide Web Conference, 2019

Measuring the Importance of User-Generated Content to Search Engines.

Nicholas Vincent, Isaac L. Johnson, Patrick Sheehan, Brent J. Hecht

Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

2018

Women (Still) Ask For Less: Gender Differences in Hourly Rate in an Online Labor Marketplace.

Eureka Foong, Nicholas Vincent, Brent J. Hecht, Elizabeth M. Gerber

Proc. ACM Hum. Comput. Interact., 2018

Examining Wikipedia With a Broader Lens: Quantifying the Value of Wikipedia's Relationships with Other Large-Scale Online Communities.

Nicholas Vincent, Isaac L. Johnson, Brent J. Hecht

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

2015

Detection of hyperperfusion on arterial spin labeling using deep learning.

Nicholas Vincent, Noah Stier, Songlin Yu, David S. Liebeskind, Danny J. J. Wang, Fabien Scalzo

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Deep learning of tissue fate features in acute ischemic stroke.

Noah Stier, Nicholas Vincent, David S. Liebeskind, Fabien Scalzo

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015