Daemo: A Self-Governed Crowdsourcing Marketplace

By Snehalkumar `Neil' Gaikwad, Durim Morina, Rohit Nistala, Megha Agarwal, A. Cossette, R. Bhanu, Saiph Savage, Vishwajeet Narwal, Karan Rajpal, Jeff Regino and 60 more. 2015

55 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Science Applications, Sociology and Political Science, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Mohit Bansal
2. Percy Liang
3. Luke S. Zettlemoyer
4. Jonathan Berant
5. Robin Jia
6. Jianfeng Gao
7. Matt Gardner
8. Hannaneh Hajishirzi

In Computer Science Applications

1. Percy Liang
2. Jeffrey P. Bigham
3. Susumu Saito
4. Kotaro Hara
5. Toni Kaplan

In Sociology and Political Science

1. Percy Liang
2. Jeffrey P. Bigham
3. Susumu Saito
4. Robin Jia
5. Kotaro Hara
6. Toni Kaplan

In Evaluation & Benchmarks

1. Mohit Bansal
2. Robin Jia
3. Percy Liang
4. Luke S. Zettlemoyer
5. Samuel R. Bowman
6. Jonathan Berant
7. Matt Gardner
8. Sebastian Riedel

Citations in the corpus

• SQuAD: 100,000+ Questions for Machine Comprehension of Text (2016, methodology): “We used the Daemo platform (Gaikwad et al., 2015), with Amazon Mechanical Turk at its backend.”
• Know What You Don’t Know: Unanswerable Questions for SQuAD (2018, methodology): “sourcing platform (Gaikwad et al., 2015) to write unanswerable questions.”
• Striving to Earn More: A Survey of Work Strategies and Tool Use Among Crowd Workers (2018, background): “The AMT marketplace demonstrates a severely uneven distribution of power and information between workers and requesters (Salehi et al. 2015; Irani and Silberman 2013 (Gaikwad et al. 2015).”