MethodsList.asciidoc

@@ -11,7 +11,7 @@
 ---
 
 <<Rogers2013>> distinguishes between digitalized/virtual and digital methods. The former methods import standard methods from the social sciences and humanities into the emerging medium. The latter are completly new methods which emerge following the new structures and their properties. +
-In this project a more inclusive conception of digital methods is assumed: the potential use of digital technology during the research.
+In this project a more inclusive conception of digital methods is assumed: the use of digital technology or technique during the research.
 
 
 == data mining
@@ -151,7 +151,7 @@ Use given training examples in order to classify certain entities.
 'The basic idea of latent semantic analysis (LSA) is, that text do have a higher order (=latent semantic) structure which, however, is obscured by word usage (e.g. through the use of synonyms or polysemy). By using conceptual indices that are derived statistically via a truncated singular value decomposition (a two-mode factor analysis) over a given document-term matrix, this variability problem can be overcome.'(link:https://cran.r-project.org/web/packages/lsa/lsa.pdf[CRAN-R])
 
 
-===== topic modelling
+===== topic modeling
 Probabilistic models to infer semantic clusters. See especially <<Papilloud_etal2018>>.
 
 
@@ -164,7 +164,7 @@ The aim of the LDA algorithm is to model a comprehensive representation of the c
 Inclusion of non-negative constraint.
 
 
-====== structural topic modelling
+====== structural topic modeling
 Inclusion of meta-data. Refer especially to <<roberts2013>>.
 
 
@@ -176,7 +176,7 @@ Inclusion of meta-data. Refer especially to <<roberts2013>>.
 For automated narrative methapor analysis see (<<Ignatow_etal2017>>, 89-106. For argumentative structures(Task: Retrieving sentential arguments for any given controversial topic) <<Stab_etal2018>> .Refer for a current overview <<Cabrio2018>>.
 
 
-==== network analysis/modelling
+==== network analysis/modeling
 Generate networks out of text/relationships between text.
 
 
@@ -204,8 +204,8 @@ Visualize the mined informations.
 Visualizations with user interaction or animations.
 
 
-== science practice
-General science practice
+== research practice
+
 
 
 === digital research design
@@ -217,19 +217,19 @@ Mostly equivalent. EMA focusses on medical questions or measurements in a natura
 
 
 ==== wiki surveys
-Guide open-answer questions with user feedback.
+Guide open-answer questions with user feedback. Refer also (<Salganik2018>,111)
 
 
 ==== survey data linked to big data sources
 
 
 
-===== Enriched asking
-
-
+===== enriched asking
+'In enriched asking, survey data build context around a big data source that contains some important measurements but lacks others.'(<Salganik2018>,118)
 
-===== Amplified asking
 
+===== amplified asking
+'Amplified asking using a predictive model to combine survey data from few people with a big data source from many people.'(<Salganik2018>,122)
 
 
 === collaborative work
@@ -248,6 +248,10 @@ Guide open-answer questions with user feedback.
 
 
 
+=== digital data/phenomena as reasearch-objective
+
+
+
 == statistical modeling