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ZENODO
Software . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2019
License: CC BY
Data sources: ZENODO
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Software for "Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 Feb 2019Publisher:ZenodoFunded by:EC | ENCASE
Authors: Antigoni-Maria Founta; Constantinos Djouvas; Despoina Chatzakou; Ilias Leontiadis; Jeremy Blackburn; Gianluca Stringhini; Athena Vakali; +2 Authors

doi: 10.5281/zenodo.2563850 , 10.5281/zenodo.2563851

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

Abstract

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.

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

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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