Nowadays, social media platforms such as Twitter or Flickr are increasingly popular. They enable users to share short messages, pictures or web links with the public or friends. Publicly visible content can be accessed using APIs and frameworks, and – after some pre-processing steps – can be used for a variety of different analyses. Postings with geographic meta-data might be of high interest for geo-scientists. This paper deals with a workflow of how to extract and map thematic information associated with a location from geo-referenced text data. The workflow shows that is possible to use tools for Geovisualization for semi-automated information retrieval, information extraction and information presentation. A case study with data from the short messages network Twitter and the photo database Flickr is used to demonstrate how to extract spatial information and illustrate typical characteristics of microblogging content.