@@ -402,6 +402,7 @@ Filters on the other hand, are arguably(syn) easier to use: here, ``only'' under
Critical voices express different concerns about the individual mechanisms:
%Different pitfalls and concerns are express
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@@ -544,10 +545,10 @@ Apparently, Twinkle at least has the possibility of using heuristics from the ab
\subsection{Conclusions}
%Conclusion, resume, bottom line, lesson learnt
In short, in this chapter we found/worked out following salient characteristics of edit filters: ....
So, as shown in figure~\ref{fig:funnel-with-filters}, edit filters are crucial since they get active before any of the other mechanisms.
In short, in this chapter we studied edit filters' documentation and community discussions and worked out the salient characteristics of this mechanism.
We also compared the filters to other quality control technologies on Wikipedia such as bots, semi-automated anti-vandalism tools and the machine learning framework ORES.
We studied(syn) the filters(syn) in the context and time of their introduction and concluded that the community (syn) introduced them as a means to fight obvious, particularly persistent (syn), and cumbersome to remove vandalism.
Revising the quality control mechanisms collaboration(syn) diagram~\ref{fig:funnel-no-filters} we introduced in chapter~\ref{chap:background}, we can now properly place the filters on it: see figure~\ref{fig:funnel-with-filters}.
