diff --git a/thesis/2-Background.tex b/thesis/2-Background.tex
index 1547d0019aae65d04d062e168767068c3cf42d14..522c587528fc34ee17a70c79870c90e6b5c59456 100644
--- a/thesis/2-Background.tex
+++ b/thesis/2-Background.tex
@@ -189,32 +189,36 @@ This also gives us a hint as to what type of quality control work humans take ov
 
 \section{Conclusion}
 \cite{AstHal2018} have a diagram describing the new edit review pipeline. Filters are absent.
-%TODO move funnel diagram here
-
-\begin{comment}
-\section{Algorithmic Governance}
-
-should be mentioned here;
-it's important for framing along with Lessig's "Code is law".
-
-algorithmic governance?/socio-technical assemblage
-* humans
-* software
-* tech. infrastructure
-
-\cite{GeiHal2017}
-
-Claudia's paper:
-"“In both cases of algorithmic governance
-– software features and bots – making rules part of the infrastructure, to a certain extent, makes
-them harder to change and easier to enforce” (p. 87)"
-
-\section{Vandalism on Wikipedia}
-%TODO put here papers on vandalism
-
-Papers discussing vandalism detection from IR/ML perspective:
-- Martin Potthast, Benno Stein, and Robert Gerling. 2008. Automatic vandalism detection in Wikipedia. In European conference on information retrieval. Springer, 663–668.
-
-\end{comment}
+%TODO move funnel diagram here (descending degree of automacy
 
 So far, on grounds of literature study alone it remains unclear what the role/purpose of edit filters is.
+
+Features of the algorithmic mechanisms summarised in table:
+%TODO reduce table to 1 page! (check which entries actually result from the text
+\begin{landscape}
+    \begin{longtable}{ | p{4cm} | p{5cm} | p{5cm} | p{5cm} | }
+    \hline
+               & Bots & Semi-Automated tools & ORES \\
+    \hline
+    \multirow{7}{*}{Properties} & rule/ML based & rule/ML based & ML framework \\
+                               & run on user's infrastructure ("bespoke code") & extra infrastructure & not used directly, can be incorporated in other tools \\
+                               & no requirement for code to be public & most popular are open source (but it's not a hard requirement) & open source \\
+                               & & heuristics obfuscated by the interface & \\
+                               & trigger after an edit is published & trigger after an edit is published & \\
+                               & latency varies & generally higher latency than bots & \\
+                               & mostly single dev/operator (recently: bot frameworks) & few devs & few devs \\
+    \hline
+    \multirow{2}{*}{People involved} & no special rights needed (except for admin bots) & \emph{rollback} permission needed & mostly Scoring Platform team \\
+                                     & bot gets a ``bot flag'' & & \\
+    \hline
+        \multirow{2}{*}{Hurdles to participate} & get approval from the BAG & get a \emph{rollback} permission& \\
+                                            & programming knowledge, understand APIs, ... & get familiar with the tool & understand ML \\
+    \hline
+        \multirow{2}{*}{Concerns} & ``botophobia'' & gamification & general ML concerns: hard to understand \\
+                                  & & & \\
+    \hline
+        Areas of application & mostly obvious vandalism & less obvious cases that require human judgement & \\
+    \hline
+    \caption{Wikipedia's algorithmic quality control mechanisms in comparison}~\label{table:mechanisms-comparison-literature}
+\end{longtable}
+\end{landscape}
diff --git a/thesis/introduction.tex b/thesis/introduction.tex
index bc3a52b9924b9efa91a8cd3fd18673ed7100ff20..2490cb4084052420df19603d031db9b2e1d4d521 100644
--- a/thesis/introduction.tex
+++ b/thesis/introduction.tex
@@ -62,6 +62,25 @@ Why were filters introduced, when other mechanisms existed already?
 
 Moreover, there seems to be a gap in the scientific literature on the subject.
 
+\begin{comment}
+\section{Algorithmic Governance}
+
+should be mentioned here;
+it's important for framing along with Lessig's "Code is law".
+
+algorithmic governance?/socio-technical assemblage
+* humans
+* software
+* tech. infrastructure
+
+\cite{GeiHal2017}
+
+Claudia's paper:
+"“In both cases of algorithmic governance
+– software features and bots – making rules part of the infrastructure, to a certain extent, makes
+them harder to change and easier to enforce” (p. 87)"
+
+\end{comment}
 \section{Aims of this work}
 %alt title: \section{Intended Contributions}
 %Epistemological interest