33 citations · 36 across the 2 of their papers we have counts for
5 papers
TurkScanner: Predicting the Hourly Wage of Microtasks
Susumu Saito, Chun-Wei Chiang, Saiph Savage +3
Workers in crowd markets struggle to earn a living. One reason for this is that it is difficult for workers to accurately gauge the hourly wages of microtasks, and they consequentl…
Crowd Work on a CV? Understanding How AMT Fits into Turkers' Career Goals and Professional Profiles
Anna Kasunic, Chun-Wei Chiang, Geoff Kaufman +1
In 2013, scholars laid out a framework for a sustainable, ethical future of crowd work, recommending career ladders so that crowd work can lead to career advancement and more econo…
Crowd Coach: Peer Coaching for Crowd Workers' Skill Growth
Chun-Wei Chiang, Anna Kasunic, Saiph Savage
Traditional employment usually provides mechanisms for workers to improve their skills to access better opportunities. However, crowd work platforms like Amazon Mechanical Turk (AM…
Blockchain for Trustful Collaborations between Immigrants and Governments
Chun-Wei Chiang, Eber Betanzos, Saiph Savage
Immigrants usually are pro-social towards their hometowns and try to improve them. However, the lack of trust in their government can drive immigrants to work individually. As a re…
Understanding Interface Design and Mobile Money Perceptions in Latin America
Chun-Wei Chiang, Caroline Anderson, Claudia Flores-Saviaga +6
Mobile money can facilitate financial inclusion in developing countries, which usually have high mobile phone use and steady remittance activity. Many countries in Latin America me…