User:Swimmingbot-awb
 | This user account is a bot that uses AutoWikiBrowser, operated by Printer222 (talk). It is used to make repetitive automated or semi-automated edits that would be extremely tedious to do manually, in accordance with the bot policy. This bot does not yet have the approval of the community, or approval has been withdrawn or expired, and therefore shouldn't be making edits that appear to be unassisted except in the operator's or its own user and user talk space. To stop this bot until restarted by the bot's owner, edit its talk page. If that page is a redirect, edit that original redirecting page, not the target of the redirect. Administrators: if this bot is making edits that appear to be unassisted to pages not in the operator's or its own userspace, please block it or remove from the approved accounts. |  |
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Operator: Printer222 (talk)
Automatic or Manually Assisted: Automatic, Supervised
Programming Language(s): AWB AutoWikiBrowser
Function Summary: Automatically tag Swimming related articles with the WikiProject Swimming banner. Automatically assess the article as 'stub class' if the article has been identified as being a 'stub'
Edit period(s) (e.g. Continuous, daily, one time run): Daily, until all related articles are tagged appropriately.
Already has a bot flag (Y/N): N
Function Details: Initially the function will be using AWB to automatically tag articles with the swimming project banner. This is required due to the vast numbers of swimming related articles. Currently i have a list of over 6600 . I attempted to do this manually however due to the fact that there are so many articles, i decided that my time could be better used in other aspects of the project and a bot would be appropriate. This bot will also automatically asses the class of articles if the article is marked as a stub.
Current Tasks[edit]
- Tagging ALL swimming related articles with {{WikiProject Swimming}}. These articles also include water polo related articles, diving related articles and synchronized swimming articles. Automatically assessing all articles tagged as stubs as stub class. Running at approx 5-6 articles per miniute.