File:Automatic Detection of Online Abuse in Wikipedia.pdf

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Original file(2,000 × 1,125 pixels, file size: 2.14 MB, MIME type: application/pdf, 21 pages)

This is a file from the Wikimedia Commons. The description on its description page there is copied below.

Summary

Description
English: 2018-19 research project using machine learning to detect users engaged in misconduct on English Wikipedia
Copyright details
Where not noted, the content of these slides is original to the creators.
  • slide 1 depicts The Aviator, public domain artwork, this photo CC-By-4.0 University of Virginia
  • slide 2 de minimis for news
  • slide 4 - map, below threshold of originality as a map, animation made for this art
  • slide 5 - stick figures below threshold of originality
  • slide 7 - icons, below threshold of originality and de minimis
Date
Source meta:University of Virginia/Automatic Detection of Online Abuse
Author Arnab Sarka, Charu Rawat, Sameer Singh
Permission
(Reusing this file)
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Some parts of this file (news on slide 2) are not fully free but believed to be de minimis for this work. Derivatives of this file which focus more on the non-free element(s) may not qualify as de minimis and may be copyright violations. As a direct consequence, cropped versions of this file may require a review of their copyright status.

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Licensing

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attribution
This file is licensed under the Creative Commons Attribution 4.0 International license.
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  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

Captions

slides to present the 2019 research project "Automatic Detection of Online Abuse"

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depicts

26 April 2019

application/pdf

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Date/TimeThumbnailDimensionsUserComment
current15:13, 20 June 2019Thumbnail for version as of 15:13, 20 June 20192,000 × 1,125, 21 pages (2.14 MB)BluerasberryUser created page with UploadWizard

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