L
Laura Dabbish
Researcher at Carnegie Mellon University
Publications - 116
Citations - 10036
Laura Dabbish is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Computer science & The Internet. The author has an hindex of 35, co-authored 102 publications receiving 8699 citations.
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Proceedings ArticleDOI
Labeling images with a computer game
Luis von Ahn,Laura Dabbish +1 more
TL;DR: A new interactive system: a game that is fun and can be used to create valuable output that addresses the image-labeling problem and encourages people to do the work by taking advantage of their desire to be entertained.
Journal ArticleDOI
Designing games with a purpose
Luis von Ahn,Laura Dabbish +1 more
TL;DR: Data generated as a side effect of game play also solves computational problems and trains AI algorithms.
Proceedings ArticleDOI
Social coding in GitHub: transparency and collaboration in an open software repository
TL;DR: It is found that people make a surprisingly rich set of social inferences from the networked activity information in GitHub, such as inferring someone else's technical goals and vision when they edit code, or guessing which of several similar projects has the best chance of thriving in the long term.
Proceedings ArticleDOI
Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers
TL;DR: This findings from a qualitative study describe how drivers responded when algorithms assigned work, provided informational support, and evaluated their performance, and how drivers used online forums to socially make sense of the algorithm features.
Proceedings ArticleDOI
Influence of social and technical factors for evaluating contribution in GitHub
TL;DR: It is found that project managers made use of information signaling both good technical contribution practices for a pull request and the strength of the social connection between the submitter and project manager when evaluating pull requests, providing evidence that developers use both technical and social information when evaluating potential contributions to open source software projects.