FN ISI Export Format VR 1.0 PT J TI Capturing, analyzing and visualizing user generated content from social media AF Weichselbraun, Albert AU Weichselbraun, A AB Source format variability and noise are major challenges when harvesting content from social media. This presentation discusses methods and abstractions for gathering user generated content from Web pages and social media platforms covering (i) structured content, (ii) platforms that leverage Semantic Web standard such as Microformats, RDFa and JSON-LD, and (iii) semi-structured or even unstructured content that is typically found in Web forums. We then discuss pre-processing and anonymization tasks and outline how the collected content is annotated, aggregated and summarized in a so called contextualized information space. An interactive dashboard provides efficient means for analyzing, browsing and visualizing this information space. The dashboard supports analysts in identifying emerging trends and topics, exploring the lexical, geospatial and relational context of topics and entities such as health conditions, diseases, symptoms and drugs, and performing drill-down analysis to shed light on individual posts and statements that cause the observed effects. ER