activity
20192023
most citedBehavioral Use Licensing for Responsible AI

56 citations · 157 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CY2023★ 31 cited

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

Hanlin Li, Nicholas Vincent, Stevie Chancellor +1

Many recent technological advances (e.g. ChatGPT and search engines) are possible only because of massive amounts of user-generated data produced through user interactions with com…

cs.SI2023★ 1 cited

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

Rod Abhari, Esteban Villa-Turek, Nicholas Vincent +2

Retracted scientific articles about COVID-19 vaccines have proliferated false claims about vaccination harms and discouraged vaccine acceptance. Our study analyzed the topical cont…

cs.SI2022★ 5 cited

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

Henry K. Dambanemuya, Rod Abhari, Nicholas Vincent +1

Retracted research discussed on social media can spread misinformation. Yet we lack an understanding of how retracted articles are mentioned by academic and non-academic users. Thi…

cs.CL2021★ 36 cited

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

Jack Bandy, Nicholas Vincent

Recent literature has underscored the importance of dataset documentation work for machine learning, and part of this work involves addressing "documentation debt" for datasets tha…

cs.CY2020★ 9 cited

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

Nicholas Vincent, Hanlin Li, Nicole Tilly +2

Many powerful computing technologies rely on implicit and explicit data contributions from the public. This dependency suggests a potential source of leverage for the public in its…

cs.CY2020★ 56 cited

Behavioral Use Licensing for Responsible AI

Danish Contractor, Daniel McDuff, Julia Haines +5

With the growing reliance on artificial intelligence (AI) for many different applications, the sharing of code, data, and models is important to ensure the replicability and democr…

cs.CY2020★ 3 cited

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

Nicholas Vincent, Brent Hecht

A growing body of work has highlighted the important role that Wikipedia's volunteer-created content plays in helping search engines achieve their core goal of addressing the infor…

cs.CY2019★ 2 cited

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

Nicholas Vincent, Yichun Li, Renee Zha +1

Identifying strategies to more broadly distribute the economic winnings of AI technologies is a growing priority in HCI and other fields. One idea gaining prominence centers on "da…

cs.CY2019★ 14 cited

Measuring the Importance of User-Generated Content to Search Engines

Nicholas Vincent, Isaac Johnson, Patrick Sheehan +1

Search engines are some of the most popular and profitable intelligent technologies in existence. Recent research, however, has suggested that search engines may be surprisingly de…