56 citations · 157 across the 9 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…