An Approach to Identify SPAM Tweets Based on Metadata

This paper introduces a concept for the classification of social media posts using twitter as an example. Thereby tweets are classified solely based on their metadata. We hereby use findings of network analysis and determine the strategic position, activity and reputation of a twitter user in order to classify his tweets into SPAM or HAM. Furthermore the next step of development for this concept, namely the determination of the entropy of a tweet, is described.