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Nicholas Vincent
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2020 – today
- 2024
- [c17]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: 761:1-761:17 - [c16]Leijie Wang
, Nicholas Vincent
, Julija Rukanskaite
, Amy Xian Zhang
:
Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities. CHI 2024: 925:1-925:18 - [i12]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 abs/2403.13073 (2024) - [i11]Zachary Wojtowicz, Shrey Jain, Nicholas Vincent:
Push and Pull: A Framework for Measuring Attentional Agency. CoRR abs/2405.14614 (2024) - 2023
- [j6]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): 1-33 (2023) - [c15]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: 527-531 - [c14]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: 553-555 - [c13]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: 1151-1161 - [i10]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 abs/2303.16302 (2023) - [i9]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 abs/2305.13238 (2023) - [i8]Leijie Wang, Nicholas Vincent, Julija Rukanskaite, Amy X. Zhang:
Pika: Empowering Non-Programmers to Author Executable Governance Policies in Online Communities. CoRR abs/2310.04329 (2023) - [i7]Nicholas Vincent, David Bau
, Sarah Schwettmann, Joshua Tan:
An Alternative to Regulation: The Case for Public AI. CoRR abs/2311.11350 (2023) - 2022
- [c12]Isaiah Jones, Brent J. Hecht, Nicholas Vincent:
Misleading Tweets and Helpful Notes: Investigating Data Labor by Twitter Birdwatch Users. CSCW Companion 2022: 68-71 - [c11]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: 273-277 - [c10]Danish Contractor, Daniel McDuff, Julia Katherine Haines, Jenny Lee, Christopher Hines, Brent J. Hecht, Nicholas Vincent, Hanlin Li:
Behavioral Use Licensing for Responsible AI. FAccT 2022: 778-788 - [i6]Rod Abhari, Nicholas Vincent, Henry K. Dambanemuya, Herminio Bodon, Emoke-Ágnes Horvát:
Twitter Engagement with Retracted Articles: Who, When, and How? CoRR abs/2203.04228 (2022) - 2021
- [j5]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): 4:1-4:15 (2021) - [j4]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): 103:1-103:23 (2021) - [j3]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): 100388 (2021) - [c9]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: 581:1-581:18 - [c8]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: 215-227 - [c7]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: 117-128 - [c6]Jack Bandy, Nicholas Vincent:
Addressing "Documentation Debt" in Machine Learning: A Retrospective Datasheet for BookCorpus. NeurIPS Datasets and Benchmarks 2021 - [i5]Jack Bandy, Nicholas Vincent:
Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus. CoRR abs/2105.05241 (2021) - 2020
- [i4]Nicholas Vincent, Brent J. Hecht:
A Deeper Investigation of the Importance of Wikipedia Links to the Success of Search Engines. CoRR abs/2004.10265 (2020) - [i3]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 abs/2012.09995 (2020)
2010 – 2019
- 2019
- [j2]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): 87:1-87:22 (2019) - [c5]Nicholas Vincent, Isaac L. Johnson, Patrick Sheehan, Brent J. Hecht:
Measuring the Importance of User-Generated Content to Search Engines. ICWSM 2019: 505-516 - [c4]Nicholas Vincent, Brent J. Hecht, Shilad Sen:
"Data Strikes": Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies. WWW 2019: 1931-1943 - [i2]Nicholas Vincent, Isaac L. Johnson, Patrick Sheehan, Brent J. Hecht:
Measuring the Importance of User-Generated Content to Search Engines. CoRR abs/1906.08576 (2019) - [i1]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 abs/1912.00757 (2019) - 2018
- [j1]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): 53:1-53:21 (2018) - [c3]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: 566 - 2015
- [c2]Noah Stier, Nicholas Vincent, David S. Liebeskind, Fabien Scalzo:
Deep learning of tissue fate features in acute ischemic stroke. BIBM 2015: 1316-1321 - [c1]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: 1322-1327
Coauthor Index
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last updated on 2024-06-20 20:45 CEST by the dblp team
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