Nicholas Vincent

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Intellectual Property

Wikipedia Pages

Hyperlink Structure

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Leijie Wang, Nicholas Vincent, Julija Rukanskaite, Amy Xian Zhang
Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities. CHI (2024)
Heila Precel, Allison McDonald, Brent J. Hecht, Nicholas Vincent
A Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training. CHI (2024)
Zachary Wojtowicz, Shrey Jain, Nicholas Vincent
Push and Pull: A Framework for Measuring Attentional Agency. CoRR (2024)
Heila Precel, Allison McDonald, Brent J. Hecht, Nicholas Vincent
A Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training. CoRR (2024)
Hanlin Li, Nicholas Vincent, Stevie Chancellor, Brent J. Hecht
The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers. CoRR (2023)
Leah Ajmani, Mo Houtti, Jasmine C. Foriest, Michael Ann DeVito, Nicholas Vincent, Isaac L. Johnson
Epistemic Injustice in Online Communities: Unpacking the Values of Knowledge Creation and Curation within CSCW Applications. CSCW Companion (2023)
Hanlin Li, Nicholas Vincent, Stevie Chancellor, Brent J. Hecht
The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers. FAccT (2023)
Hanlin Li, Nicholas Vincent, Yacine Jernite, Nick Merrill, Jesse Josua Benjamin, Alek Tarkowski
Can Licensing Mitigate the Negative Implications of Commercial Web Scraping? CSCW Companion (2023)
Nicholas Vincent, David Bau, Sarah Schwettmann, Joshua Tan
An Alternative to Regulation: The Case for Public AI. CoRR (2023)
Rod Abhari, Esteban Villa-Turek, Nicholas Vincent, Henry K. Dambanemuya, Emoke-Ágnes Horvát
Retracted Articles about COVID-19 Vaccines Enable Vaccine Misinformation on Twitter. CoRR (2023)
Leah Ajmani, Nicholas Vincent, Stevie Chancellor
Peer Produced Friction: How Page Protection on Wikipedia Affects Editor Engagement and Concentration. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Hanlin Li, Leah Ajmani, Moyan Zhou, Nicholas Vincent, Sohyeon Hwang, Tiziano Piccardi, Sneha Narayan, Sherae Daniel, Veniamin Veselovsky
Ethical Tensions, Norms, and Directions in the Extraction of Online Volunteer Work. CSCW Companion (2022)
Rod Abhari, Nicholas Vincent, Henry K. Dambanemuya, Herminio Bodon, Emoke-Ágnes Horvát
Twitter Engagement with Retracted Articles: Who, When, and How? CoRR (2022)
Danish Contractor, Daniel McDuff, Julia Katherine Haines, Jenny Lee, Christopher Hines, Brent Hecht, Nicholas Vincent, Hanlin Li
Behavioral Use Licensing for Responsible AI. FAccT (2022)
Isaiah Jones, Brent Hecht, Nicholas Vincent
Misleading Tweets and Helpful Notes: Investigating Data Labor by Twitter Birdwatch Users. CSCW Companion (2022)
Nicholas Vincent, Brent J. Hecht
A Deeper Investigation of the Importance of Wikipedia Links to Search Engine Results. Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos
AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. CHI (2021)
Jack Bandy, Nicholas Vincent
Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus. CoRR (2021)
Nicholas Vincent, Hanlin Li, Nicole Tilly, Stevie Chancellor, Brent J. Hecht
Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies. FAccT (2021)
Nicholas Vincent, Brent J. Hecht
Preview of "Data and its (dis)contents: A survey of dataset development and use in machine learning research". Patterns 2 (11) (2021)
Nicholas Vincent, Brent J. Hecht
Can "Conscious Data Contribution" Help Users to Exert "Data Leverage" Against Technology Companies? Proc. ACM Hum. Comput. Interact. 5 (CSCW1) (2021)
Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. ICWSM (2021)
Jack Bandy, Nicholas Vincent
Addressing "Documentation Debt" in Machine Learning: A Retrospective Datasheet for BookCorpus. NeurIPS Datasets and Benchmarks (2021)
Nicholas Vincent, Brent J. Hecht
A Deeper Investigation of the Importance of Wikipedia Links to the Success of Search Engines. CoRR (2020)
Nicholas Vincent, Hanlin Li, Nicole Tilly, Stevie Chancellor, Brent J. Hecht
Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies. CoRR (2020)
Nicholas Vincent, Yichun Li, Renee Zha, Brent J. Hecht
Mapping the Potential and Pitfalls of "Data Dividends" as a Means of Sharing the Profits of Artificial Intelligence. CoRR (2019)
Hanlin Li, Nicholas Vincent, Janice Y. Tsai, Jofish Kaye, Brent J. Hecht
How Do People Change Their Technology Use in Protest?: Understanding. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Nicholas Vincent, Isaac L. Johnson, Patrick Sheehan, Brent J. Hecht
Measuring the Importance of User-Generated Content to Search Engines. CoRR (2019)
Nicholas Vincent, Isaac L. Johnson, Patrick Sheehan, Brent J. Hecht
Measuring the Importance of User-Generated Content to Search Engines. ICWSM (2019)
Nicholas Vincent, Brent J. Hecht, Shilad Sen
"Data Strikes": Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies. WWW (2019)
Nicholas Vincent, Isaac L. Johnson, Brent J. Hecht
Examining Wikipedia With a Broader Lens: Quantifying the Value of Wikipedia's Relationships with Other Large-Scale Online Communities. CHI (2018)
Eureka Foong, Nicholas Vincent, Brent J. Hecht, Elizabeth M. Gerber
Women (Still) Ask For Less: Gender Differences in Hourly Rate in an Online Labor Marketplace. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Noah Stier, Nicholas Vincent, David S. Liebeskind, Fabien Scalzo
Deep learning of tissue fate features in acute ischemic stroke. BIBM (2015)
Nicholas Vincent, Noah Stier, Songlin Yu, David S. Liebeskind, Danny J. J. Wang, Fabien Scalzo
Detection of hyperperfusion on arterial spin labeling using deep learning. BIBM (2015)