Becoming the Super Turker:Increasing Wages via a Strategy from High Earning Workers

Saiph Savage, Chun Wei Chiang, Susumu Saito, Carlos Toxtli, Jeffrey Bigham

研究成果: Conference contribution

抜粋

Crowd markets have traditionally limited workers by not providing transparency information concerning which tasks pay fairly or which requesters are unreliable. Researchers believe that a key reason why crowd workers earn low wages is due to this lack of transparency. As a result, tools have been developed to provide more transparency within crowd markets to help workers. However, while most workers use these tools, they still earn less than minimum wage. We argue that the missing element is guidance on how to use transparency information. In this paper, we explore how novice workers can improve their earnings by following the transparency criteria of Super Turkers, i.e., crowd workers who earn higher salaries on Amazon Mechanical Turk (MTurk). We believe that Super Turkers have developed effective processes for using transparency information. Therefore, by having novices follow a Super Turker criteria (one that is simple and popular among Super Turkers), we can help novices increase their wages. For this purpose, we: (i) conducted a survey and data analysis to computationally identify a simple yet common criteria that Super Turkers use for handling transparency tools; (ii) deployed a two-week field experiment with novices who followed this Super Turker criteria to find better work on MTurk. Novices in our study viewed over 25,000 tasks by 1,394 requesters. We found that novices who utilized this Super Turkers' criteria earned better wages than other novices. Our results highlight that tool development to support crowd workers should be paired with educational opportunities that teach workers how to effectively use the tools and their related metrics (e.g., transparency values). We finish with design recommendations for empowering crowd workers to earn higher salaries.

元の言語English
ホスト出版物のタイトルThe Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020
出版者Association for Computing Machinery, Inc
ページ1241-1252
ページ数12
ISBN(電子版)9781450370233
DOI
出版物ステータスPublished - 2020 4 20
イベント29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China
継続期間: 2020 4 202020 4 24

出版物シリーズ

名前The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020

Conference

Conference29th International World Wide Web Conference, WWW 2020
Taiwan, Province of China
Taipei
期間20/4/2020/4/24

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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  • これを引用

    Savage, S., Chiang, C. W., Saito, S., Toxtli, C., & Bigham, J. (2020). Becoming the Super Turker:Increasing Wages via a Strategy from High Earning Workers. : The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020 (pp. 1241-1252). (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020). Association for Computing Machinery, Inc. https://doi.org/10.1145/3366423.3380200