Nicholas Vincent

Orcid: 0000-0002-8493-7161

According to our database1, Nicholas Vincent authored at least 28 papers between 2015 and 2024.

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Bibliography

2024
A Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training.
CoRR, 2024

2023
Peer Produced Friction: How Page Protection on Wikipedia Affects Editor Engagement and Concentration.
Proc. ACM Hum. Comput. Interact., 2023

An Alternative to Regulation: The Case for Public AI.
CoRR, 2023

Retracted Articles about COVID-19 Vaccines Enable Vaccine Misinformation on Twitter.
CoRR, 2023

The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Can Licensing Mitigate the Negative Implications of Commercial Web Scraping?
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.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022
Twitter Engagement with Retracted Articles: Who, When, and How?
CoRR, 2022

Behavioral Use Licensing for Responsible AI.
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.
Proceedings of the Companion Computer Supported Cooperative Work and Social Computing, 2022

Misleading Tweets and Helpful Notes: Investigating Data Labor by Twitter Birdwatch Users.
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".
Patterns, 2021

Can "Conscious Data Contribution" Help Users to Exert "Data Leverage" Against Technology Companies?
Proc. ACM Hum. Comput. Interact., 2021

A Deeper Investigation of the Importance of Wikipedia Links to Search Engine Results.
Proc. ACM Hum. Comput. Interact., 2021

Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus.
CoRR, 2021

Addressing "Documentation Debt" in Machine Learning: A Retrospective Datasheet for BookCorpus.
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.
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.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media.
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.
CoRR, 2020

2019
How Do People Change Their Technology Use in Protest?: Understanding.
Proc. ACM Hum. Comput. Interact., 2019

Mapping the Potential and Pitfalls of "Data Dividends" as a Means of Sharing the Profits of Artificial Intelligence.
CoRR, 2019

"Data Strikes": Evaluating the Effectiveness of a New Form of Collective Action Against Technology Companies.
Proceedings of the World Wide Web Conference, 2019

Measuring the Importance of User-Generated Content to Search Engines.
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.
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.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2015
Detection of hyperperfusion on arterial spin labeling using deep learning.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Deep learning of tissue fate features in acute ischemic stroke.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015


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