@@ -153,14 +153,16 @@ If discerning motivation is difficult, and, we want to achieve different results
Following insights about temporal trends were uncovered:
%Firstly, the overall number of active edit filters stays the same over time due to the condition limit.
Firstly, edit filters have been much more active than the initially anticipated few hits per hour/day?—a consultation of the AbuseLog reveals several entries per minute and the hit numbers resemble the revert counts in order of magnitude.
Secondly, it is mostly the same old filters which have been active through the years:
The list of ten most active filters per year is fairly stable.
Thirdly, the overall number of filter hits has risen since 2016 when a somewhat puzzling spike in filter hits took place.
Firstly, edit filters have been much more active than the initially anticipated few hits per hour—a consultation of the AbuseLog shows several entries per minute and the hit numbers resemble the revert counts in order of magnitude.
Secondly, the list of most active filters of all times reveals above all older filters which continue to be matched very frequently.
Moreover, it is mostly the same old filters which have been highly active through the years:
The list of the ten most active filters for each year since the introduction of the AbuseFilter extension is fairly stable.
Although, as pointed out in section~\ref{sec:4-def}, filter patterns can be changed, they are mostly only optimised for efficiency, so it can be assumed filters have been catching the same troublesome behaviour over the years.
Thirdly, the overall number of filter hits has risen since 2016 when a somewhat puzzling spike in filter hits which needs future investigation took place.
Additionally, the general tendency is that over time less good faith filter hits and more vandalism related ones occured.
This question should be explored further and deeper investigations into the hits peak or the temporal trends of filters creation and configuration/refactoring should be undertaken.
All in all, beside the peak in hits from 2016, additional temporal patterns of filters characteristics and activity can be explored.
These include practices of filters' creation, configuration, and refactoring.
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Claudia: * A focus on the Good faith policies/guidelines is a historical development. After the huge surge in edits Wikipedia experienced starting 2005 the community needed a means to handle these (and the proportional amount of vandalism). They opted for automatisation. Automated system branded a lot of good faith edits as vandalism, which drove new comers away. A policy focus on good faith is part of the intentions to fix this.
