W
Winter Mason
Researcher at Stevens Institute of Technology
Publications - 44
Citations - 11786
Winter Mason is an academic researcher from Stevens Institute of Technology. The author has contributed to research in topics: Friendship & Population. The author has an hindex of 25, co-authored 43 publications receiving 10845 citations. Previous affiliations of Winter Mason include Yahoo! & Indiana University.
Papers
More filters
Posted Content
Conducting Behavioral Research on Amazon's Mechanical Turk
TL;DR: In this article, the authors demonstrate how to use Mechanical Turk for conducting behavioral research and lower the barrier to entry for researchers who could benefit from this platform, and illustrate the mechanics of putting a task on Mechanical Turk including recruiting subjects, executing the task, and reviewing the work submitted.
Journal ArticleDOI
Conducting behavioral research on Amazon's Mechanical Turk.
Winter Mason,Siddharth Suri +1 more
TL;DR: It is shown that when taken as a whole Mechanical Turk can be a useful tool for many researchers, and how the behavior of workers compares with that of experts and laboratory subjects is discussed.
Proceedings ArticleDOI
Everyone's an influencer: quantifying influence on twitter
TL;DR: It is concluded that word-of-mouth diffusion can only be harnessed reliably by targeting large numbers of potential influencers, thereby capturing average effects and that predictions of which particular user or URL will generate large cascades are relatively unreliable.
Proceedings ArticleDOI
Who says what to whom on twitter
TL;DR: A striking concentration of attention is found on Twitter, in that roughly 50% of URLs consumed are generated by just 20K elite users, where the media produces the most information, but celebrities are the most followed.
Proceedings ArticleDOI
Financial incentives and the "performance of crowds"
Winter Mason,Duncan J. Watts +1 more
TL;DR: It is found that increased financial incentives increase the quantity, but not the quality, of work performed by participants, where the difference appears to be due to an "anchoring" effect.