Machine-learning for spammer detection in crowd-sourcing

AAAI Workshop - Technical Report

Volumn WS-12-08, Issue , 2012, Pages 85-86

  Halpin, Harry ^a   Blanco, Roi ^b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b YAHOO RESEARCH   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AMAZON'S MECHANICAL TURKS; COMPLEX TASK; EVALUATION EXPERIMENTS; MACHINE-LEARNING; SPAMMER DETECTIONS;

LEARNING SYSTEMS;

EID: 84875704610     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Ipeirotis, P. G.; Provost, F.; and Wang, J. 2010. Quality management on amazon mechanical turk. In Human Computation Workshop (KDD-HCOMP 10).
2. Kern, R.; Thies, H.; and Satzger, G. 2010. Statistical Quality Control for Human-Based Electronic Services, volume 6470/2010 of Lecture Notes in Computer Science. Springer Verlag. 243-257. DOI: 10.1007/978-3-642-17358-5-17, http://www.springerlink.com/content/c718300217237723/.
3. Kumar, A., and Lease, M. 2011. Modeling annotator accuracies for supervised learning. In Proceedings of the Workshop on Crowdsourcing for Search and Data Mining (CSDM) at the Fourth ACM International Conference on Web Search and Data Mining (WSDM), 19-22.
4. Vuurens, J.; Vries, A. P. D.; and Eickhoff, C. 2011. How Much Spam Can You Take? An Analysis of Crowdsourcing Results to Increase Accuracy. In Lease, M.; Hester, V.; Sorokin, A.; and Yilmaz, E., eds., Proceedings of the ACM SIGIR 2011 Workshop on Crowdsourcing for Information Retrieval (CIR 2011), 48-55.