Change Details

Based on information learned in T343938, we are planning to use the [[ https://meta.wikimedia.org/wiki/Machine_learning_models/Proposed/Language-agnostic_revert_risk | Language-agnostic revert risk model ]] to understand the policies/conventions newcomers and Juniors Contributors are knowingly or unknowingly breaking. This will help inform the edit checks the Editing Team will prioritize implementing during the 2023-2024 fiscal year. [] Define types of published edits we'd like to review [] Pass wiki and revision ids of those edits to the revert risk model to identify edits with a high revert risk score [] Review sample of edits [] Identify policies relevant to them

This task will involves an exploration to uncover the ways in which we might use data to identify policies/guidelines newcomers commonly break/defy. The above is an effort to identify Edit Checks that are likely to be impactful. Where "impactful" here means they are relevant to substantial number of edits that newcomers are making/attempting to make.

Based on information learned in T343938, we are planning to use the [[ https://meta.wikimedia.org/wiki/Machine_learning_models/Proposed/Language-agnostic_revert_risk | Language-agnostic revert risk model ]] to understand the policies/conventions newcomers and Juniors Contributors are knowingly or unknowingly breakingThis task will involves an exploration to uncover the ways in which we might use data to identify policies/guidelines newcomers commonly break/defy. The above is an effort to identify Edit Checks that are likely to be impactful. This will help informWhere "impactful" here means the edit checks the Editing Team will prioritize implementing during the 2023-2024 fiscal yeary are relevant to substantial number of edits that newcomers are making/attempting to make. [] Define types of published edits we'd like to review [] Pass wiki and revision ids of those edits to the revert risk model to identify edits with a high revert risk score [] Review sample of edits [] Identify policies relevant to them