File:ORES goodfaith calibration errors by geographic region.png

From Meta, a Wikimedia project coordination wiki

Original file(1,157 × 703 pixels, file size: 44 KB, MIME type: image/png)

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

Summary

Description
English: ORES is a machine learning system for classifying edits to Wikipedia according to whether they are damaging or goodfaith. This plot compares model predicted probabilities for the goodfaith models to probabilities estimated from a sample of human labeled edits according to whether the subject of the article is in the global north or the global south. Results for the 26 Wikis on which ORES damaging models are deployed show no clear evidence of encoded bias along geographic lines.
Date
Source Own work
Author Groceryheist

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • 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.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

Captions

This plot shows the calibration of ORES goodfaith models on edits by the geographic region of an article

Items portrayed in this file

depicts

2 May 2019

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current00:40, 3 May 2019Thumbnail for version as of 00:40, 3 May 20191,157 × 703 (44 KB)GroceryheistUser created page with UploadWizard

Metadata