Add paper LeaveAComment

Paper/LeaveAComment.md

+# Zusammenfassung des Papers Leave a comment! A in-depth analysis of user comments on youtube
+
+* User Kommentare sind die häufigste und kontroverseste Form der Kommunikation auf YouTube
+* Dennoch werden jeden Tag werden große Mengen an Kommentaren gepostet
+* Die Autoren des Papers stellen eine Erklärung für diese Gegensatz vor basiernd auf einem neuen Klassifkationsansatz für Kommentare
+
+## Introduction
+
+* Online videos are an object of social exchange
+* Authors conduct a survey on the perception of comments
+    * Rather negative view on comments
+* The way comments are presented is substandard
+    * Sequential list of comments sorted by creation date 
+    * Only first two or three comments can be viewed on orginal visiable space 
+        * => Places one and two in comment section are privileged
+
+
+## Research Model and Data Collection
+* First authors hat to find out how users communicate via comments
+* User comments are basically many unstructured text fragments
+* Authos focused on three basic comment types:
+    * T1: **Discussion Post** contains comments which are part of a discussion among users
+    * T2: **Inferior Comment** contains offensive statements and/or insults
+    * T3: **Substantial Comment** Conatins comment without offensive statement that carry certain content information
+
+* Authors propose that T1 and T3 comments provide added value for users (Information, Entertainment, Social Exchange)
+
+## Consistency Check: Is our Operationalization valid?
+
+* Authors examined distribution of comment classes in each video category
+
+### Impications
+* Results indicate that no comment type is dominant on YouTube
+    * user communicate on differnt video topics in different ways
+* Two comment types offer added value to user
+    * Main reason for comments
+* Negative impressions come from comment type T2
+
+## Comment Types and Rating - is there a relationship
+
+* Author analyse how comments relate to the dispersion of likes and dislikes
+* Two finding:
+    * Number of T3 comments have the strongest effect on relative amount of likes
+    * T2-comments have an influence on amount of dislikes
+
+## Discussion
+* Analysis yield several recommendations for improving user acceptance of comments
+    * Appropriate visualisation which take into context dependencies for particular video sequences into account could highlite valuable posts
+    * Dynamic and media based annotations are likely to be very well suited for visualisation or context-specific user comments
+* A secondary rating system which user could use to express their emotional attitude 
+    * Short emotional posts would retain their significance if a more suitable visualisation form was available