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| Content Provider | ACM Digital Library |
|---|---|
| Author | Patel, Krupa Nath, Aditi Nistala, Srivalli Narwal, Vishwajeet Le, Kevin Abolhassani, Niki Flores, Juan Batagoda, Muthitha Toxtli, Carlos Uhrmeister, Jana Nistala, Rohit Ziulkoski, Karolina R. Bateni, Soroosh Toledo Barrera, Gema Thilakarathne, Haritha Sarma, Tejas Ingle, Surabhi Jaramillo, Verónica Saleh, Mohamed Ginzberg, Adam Kovacs, Geza Gupta, Kajal Compton, Ryan Xie, Angela Gupta, Asmita Gamage, Dilrukshi Setyadi, Kristiono Nekkanti, Divya Cossette, Alison Herrejón, Jeerel Palacios, Luis Ritter, Manuela Paula Goyal, Shirish Godínez, Martin Diemert, Christopher Aariff, Deen Dai, William Wajirasena, Nuwan Sastry, Ankita Padilla, Diana Agarwal, Megha Vaish, Rajan Morina, Durim Krishna, Ranjay Bernstein, Michael Sethia, Vineet Peña, Alex Singh, Manik Kay, Alan Cruz, Rolando Mithal, Aditi K.K., Nisha Milland, Kristy Matsumoto, Luca Damon, James Rajapakshe, Thejan Regino, Jeff Richmond-Fuller, Angela Gaikwad, Snehal Neil Bakiu, Elsa Ángel, Walter Suzuki, Ryo Flores-Saviaga, Claudia Esfahani, Milad Rajpal, Karan Cossette, Trygve Savage, Saiph Reyes, Abigail Gongora-Svartzman, Gabriela Bhanu, Radhika |
| Abstract | Crowdsourcing marketplaces provide opportunities for autonomous and collaborative professional work as well as social engagement. However, in these marketplaces, workers feel disrespected due to unreasonable rejections and low payments, whereas requesters do not trust the results they receive. The lack of trust and uneven distribution of power among workers and requesters have raised serious concerns about sustainability of these marketplaces. To address the challenges of trust and power, this paper introduces Daemo, a self-governed crowdsourcing marketplace. We propose a prototype task to improve the work quality and open-governance model to achieve equitable representation. We envisage Daemo will enable workers to build sustainable careers and provide requesters with timely, quality labor for their businesses. |
| Starting Page | 101 |
| Ending Page | 102 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450337809 |
| DOI | 10.1145/2815585.2815739 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-11-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Crowd research Crowdsourcing Crowd work. |
| Content Type | Text |
| Resource Type | Article |
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