Published February 13, 2019 | Version v1
Software Open

Software for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"

  • 1. Aristotle University of Thessaloniki
  • 2. Cyprus University of Technology
  • 3. Telefonica Research
  • 4. University of Alabama at Birmingham
  • 5. University Collage London

Description

This repository consists of the custom external platform for the annotation process of CrowdFlower, used on the "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior" paper, published in ICWSM 2018. Full text of the paper can be found here:

Please cite the paper in any published work that uses any of these resources.

@article{founta2018large,
    title={Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior},
    author={Founta, Antigoni-Maria and Djouvas, Constantinos and Chatzakou, Despoina and Leontiadis, Ilias and Blackburn, Jeremy and Stringhini, Gianluca and Vakali, Athena and Sirivianos, Michael and Kourtellis, Nicolas},
    journal={arXiv preprint arXiv:1802.00393},
    year={2018} 
}

For any further questions contact a.m.founta at gmail dot com.

Notes

https://github.com/ENCASEH2020/crowdflower-platform

Files

crowdflower-platform-master.zip

Files (1.7 MB)

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Additional details

Funding

European Commission
ENCASE – EnhaNcing seCurity And privacy in the Social wEb: a user centered approach for the protection of minors 691025