2021
DOI: 10.15346/hc.v8i.122
|View full text |Cite
|
Sign up to set email alerts
|

Empirical Study on Effects of Self-Correction in Crowdsourced Microtasks

Abstract: Self-correction for crowdsourced tasks is a two-stage setting that allows a crowd worker to review the task results of other workers; the worker is then given a chance to update their results according to the review.Self-correction was proposed as a complementary approach to statistical algorithms, in which workers independently perform the same task.It can provide higher-quality results with low additional costs. However, thus far, the effects have only been demonstrated in simulations, and empirical evaluati… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 23 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?