کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1136151 | 1489133 | 2013 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analyzing costs and accuracy of validation mechanisms for crowdsourcing platforms
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
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چکیده انگلیسی
Crowdsourcing is becoming more and more important for commercial purposes. With the growth of crowdsourcing platforms like Amazon Mechanical Turk or Microworkers, a huge work force and a large knowledge base can be easily accessed and utilized. But due to the anonymity of the workers, they are encouraged to cheat the employers in order to maximize their income. In this paper, we analyze two widely used crowd-based approaches to validate the submitted work.1 Both approaches are evaluated with regard to their detection quality, their costs and their applicability to different types of typical crowdsourcing tasks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematical and Computer Modelling - Volume 57, Issues 11–12, June 2013, Pages 2918–2932
Journal: Mathematical and Computer Modelling - Volume 57, Issues 11–12, June 2013, Pages 2918–2932
نویسندگان
Matthias Hirth, Tobias Hoßfeld, Phuoc Tran-Gia,