Wikipedia:WikiProject Copyright Cleanup/Resources

From Wikipedia, the free encyclopedia

   Main        Talk        How-to        Resources        Investigations        RD1 Requests        Sources    
More information Extended content, What to type ...

This page collects resources related to Wikipedia:WikiProject Copyright Cleanup and its work.

The basics

Wikipedians wishing to help clean copyright concerns should be reasonably familiar with Wikipedia's policies and guidelines related to copyright. In addition to links in the "Wikipedia Copyright" box, useful resources may include:

For background on some of these issues, as well as current trends, see:

  • Earwig's Copyvio Detecctor runs 3 types of checks: internet scan using Google search, in-text URLs, and cached CopyPatrolBot checks. It can scan certain revisions as well. This does not search offline sources or Google Books and is likely to miss close paraphrasing issues, but is highly effective for detecting web-based violations.
  • Duplication Detector. This runs a comparison between an article and a specific other document, including pdfs and documents you upload, ranking duplications in text according to amount matched. It may not detect close paraphrasing. It is customizable in a number of ways, including permitting the exclusion of quotations and numbers and specifying the number of words to look for.
  • Wikiblame. Accessible under the "history" tab of every page on Wikipedia as "Revision history search", this tool can be useful in determining when a run of text first entered an article, thereby helping to determine if text evolved naturally or came in at one chunk. It is also useful in identifying the problematic contributor if copyright issues are confirmed.
  • mw:Who Wrote That is a browser extension that shows the first insertion of text present in the revision currently viewed, giving the revision ID, time, edit summary, and contributor. It also highlights the percentage of the page written by the contributor and all other text they have written.
  • Contribution Surveyor, used at WP:CCI. It lists all the articles to which a contributor has contributed, with diffs sorted by edit size. Options allow eliminating "reversions" and "minor edits" and specifying date ranges for output. The output size can also be modified by number of reports per page.

There are a number of copyright maintenance templates that have been created to facilitate marking and correcting issues with articles and files and communicating with contributors. Please add new templates as these are devised and remove older ones that are deprecated. All templates in these tables should be included in Category:Wikipedia copyright maintenance templates, since all relate to copyright maintenance.

For article and article talk

For files

For user pages

Project resources

Everyone is welcome to join the project and contribute. Lists of members can be found in Category:WikiProject Copyright Cleanup participants.

To join the project, please add this userbox by adding {{User WikiProject Copyright Cleanup}} to your user page.

This user is a member of WikiProject Copyright Cleanup

You will automatically be added to the participants category. You can also add yourself directly to that category without the userbox by placing [[Category:WikiProject Copyright Cleanup participants|{{PAGENAME}}]] to your userpage.

Contributors to copyright cleanup, whether a member of this project or not, can be thanked for their efforts with a note of appreciation or one of Wikipedia's "awards", like {{The Copyright Cleanup Barnstar}}:

The Copyright Cleanup Barnstar
{{{1}}}

To bestow the barnstar, add {{The Copyright Cleanup Barnstar|Your message here ~~~~}} to the talk page of the editor.

Offline resources

Some members of this WikiProject have found the following offline resources helpful:

  • Fishman, Stephen (2006). Richard Stim (ed.). The Public Domain: How to Find and Use Copyright-Free Writings, Music, Art, and More (3rd ed.). Nolo. ISBN 978-1-4133-0454-1.

See also

Close

Related Articles

Wikiwand AI