The present work can be embedded in the context of (algorithmic) quality-control mechanisms on Wikipedia.
There is a whole ecosystem (syn?) of actors struggling to maintain the anyone-can-edit encyclopedia as good^^ and vandalism free as possible.
There is a whole ecosystem (syn?) of actors struggling to maintain the anyone-can-edit encyclopedia as good^^ and free of malicious, spam and ? content as possible.
We want to be able to better understand the role of edit filters in the vandal fighting network of humans, bots, semi-automated tools, and the machine learning framework ORES.
After all, edit filters were introduced to Wikipedia quite late, compared to bots and semi-automated tools: in 2009 (compare timeline, Twinkle's page is from Jan 2007, Huggle's from beginning of 2008; bot's have been around longer, but first records, at least by me so far, of vandal fighting bots come from 2006 ). %TODO: when was the other stuff introduced
After all, edit filters were introduced to Wikipedia at a time when bots and semi-automated tools already existed and were involved in quality control: in 2009 (compare timeline, Twinkle's page is from Jan 2007, Huggle's from beginning of 2008; bot's have been around longer, but first records, at least by me so far, of vandal fighting bots come from 2006 ). %TODO: when was the other stuff introduced
Moreover, there seems to be a gap in the scientific literature on the subject.
\section{Aims of this work}
...
...
@@ -51,10 +51,14 @@ Moreover, there seems to be a gap in the scientific literature on the subject.
The aim of this work is to find out why edit filters were introduced on Wikipedia and how these fit in Wikipedia's quality control ecosystem.
More precisely, we want to unearth the tasks taken over by filters in contrast to other quality control meachanisms
and understand how different users of Wikipedia (admins/sysops, regular editors, readers) interact with these and what repercussions the filters have on them.
To this end, we study the academic contributions on Wikipedia's vandal fighting and quality control mechanisms and give a descriptive overview of the adoption process as well as the current state of edit filters on EN Wikipedia.
To this end, we study the academic contributions on Wikipedia's quality control mechanisms and give a descriptive overview of the adoption process as well as the current state of edit filters on EN Wikipedia.
\begin{comment}
Questions from Confluence
Q1 We wanted to improve our understanding of the role of filters in existing algorithmic quality-control mechanisms (bots, ORES, humans).
Q2 Which type of tasks do these filters take over in comparison to the other mechanisms? How these tasks evolve over time (are they changes in the type, number, etc.)?
Q3 Since filters are classical rule-based systems, what are suitable areas of application for such rule-based system in contrast to the other ML-based approaches.
\begin{itemize}
\item Was sind die mit dieser Arbeit verfolgten Ziele? Welches Problem soll gelöst werden?
\item Eine Beschreibung der ersten Ideen, der vorgeschlagene Ansatz und die aktuell erreichten Resultate
