diff --git a/text/related/main.tex b/text/related/main.tex
index 42db67b..68a37b6 100644
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@@ -14,8 +14,9 @@ Others narrow down their research to location privacy issues.
 To name a few, Chow and Mokbel~\cite{chow2011trajectory} investigate privacy protection in continuous LBSs and trajectory data publishing, Chatzikokolakis et al.~\cite{chatzikokolakis2017methods} review privacy issues around the usage of LBSs and relevant protection mechanisms and metrics, Primault et al.~\cite{primault2018long} summarize location privacy threats and privacy-preserving mechanisms, and Fiore et al.~\cite{fiore2019privacy} focus only on privacy-preserving publishing of trajectory microdata.
 Finally, there are some surveys on application-specific privacy challenges.
 For example, Zhou et al.~\cite{zhou2008brief} have a focus on social networks, and Christin et al.~\cite{christin2011survey} give an outline of how privacy aspects are addressed in crowdsensing applications.
-Nevertheless, to the best of our knowledge, there is no up-to-date survey that deals with privacy under continuous data publishing covering diverse use cases.
-Such a survey becomes very useful nowadays, due to the abundance of continuously user-generated data sets that could be analyzed and/or published in a privacy-preserving way, and the quick progress made in this research field.
+
+In the following sections, we document works that deal with privacy under continuous data publishing covering diverse use cases.
+Such a documentation becomes very useful nowadays, due to the abundance of continuously user-generated data sets that could be analyzed and/or published in a privacy-preserving way, and the quick progress made in this research field.
 
 \input{related/micro}
 \input{related/statistical}