CONAN: A framework for detecting and handling collusion in crowdsourcing-Reference-Cited by-同舟云学术

CONAN: A framework for detecting and handling collusion in crowdsourcing

Published:2020-04 Issue: Volume:515 Page:44-63
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Chen Pengpeng,Sun Hailong^ORCID,Fang Yili^ORCID,Liu Xudong

Funder

National Key Research and Development Program of China

National Basic Research Program of China

National Natural Science Foundation

State Key Laboratory of Software Development Environment

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

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3. Harnessing implicit teamwork knowledge to improve quality in crowdsourcing processes;Allahbakhsh,2014

4. Soylent: a word processor with a crowd inside;Bernstein,2010

5. Assignment techniques for crowdsourcing sensitive tasks;Celis,2016

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