File:IP editors synthesis deck (ar es ja bn).pdf

Go to page


Original file(1,500 × 937 pixels, file size: 11.66 MB, MIME type: application/pdf, 84 pages)

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

Summary

Description
English: This project investigated IP editing, also referred to as “anonymous” editing, on multiple Wikipedias, with the broad goal of answering two questions:

(1) Who are the main populations of IP editors, and how are they distributed within the communities that Growth works with? (2) Which populations of IP editors could be encouraged to create accounts, and which populations should be accommodated as IP or “anonymous” editors?

Research began by collecting and interpreting WMF metrics that describe different characteristics of IP editing in 13 candidate Wikipedias specified by the Growth team. After exploring this data, the pool of study communities was narrowed to four—Arabic, Spanish, Bengali, and Japanese—each of which present unique characteristics of IP editing. Arabic appears to be very skeptical of IP edits based on revert rates, for example, while Spanish and Japanese appear to treat IP edits similarly to those made by New Editors.

A survey was distributed in the study communities that aimed to explore community stance and editor beliefs regarding IP editing, including editors’ view of the risks posed by visible IP addresses, the relationship they see between IP editing and vandalism, and range of possible motivations for IP editors that might be observable in their communities. Finally, editors who indicated their interest during the survey were invited to participate in a 60-minute, semi-structured interview in which previously identified topics and themes were explored.

This research indicates that IP editing is a widespread phenomenon, and that the motivations for it are diverse. Furthermore, the nature of IP editing—and community reception of it—differ across Wikipedias.
Date
Source Own work
Author MRaish (WMF)

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

slide deck synthesizing results of 4-language IP editing study

Items portrayed in this file

depicts

15 February 2022

application/pdf

File history

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

Date/TimeThumbnailDimensionsUserComment
current14:40, 5 May 2022Thumbnail for version as of 14:40, 5 May 20221,500 × 937, 84 pages (11.66 MB)MRaish (WMF)Uploaded own work with UploadWizard

There are no pages that use this file.

Metadata