diego added a comment.
**Updates**
- I've been running analysis on the predictability of reverts on Wikidata,
including page, user and edit characteristics such as the property and the
action summary explained above.
- Probably not surprising I've found that the user characteristics such as
the "account age" (the difference between a given edit and the user account
creation) is the most related with the revert probability:
- I've also noted that bots are less likely than humans to reverted, and that
edits in new articles (items) are more likely to be reverted.
- I'm now analyzing a set of properties that showed some correlation with
reverts:
- P 9157
- P 97
- P 3602
- P 646
- P 3782
- P 183
- P 2860
- P 7902
- P 9339
- P 2671
- Next steps is to model interactions between users, and also analyze the
usage of the "disputed by" qualifiers.
F34631288: image.png <https://phabricator.wikimedia.org/F34631288>
TASK DETAIL
https://phabricator.wikimedia.org/T287946
EMAIL PREFERENCES
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To: diego
Cc: Pablo, leila, Lydia_Pintscher, diego, Aklapper, Invadibot, maantietaja,
Akuckartz, Nandana, Abdeaitali, Lahi, Gq86, GoranSMilovanovic, QZanden,
LawExplorer, Avner, _jensen, rosalieper, Scott_WUaS, Wikidata-bugs, aude,
Capt_Swing, Mbch331
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