Visual analysis of online social media to open up the investigation of stance phenomena

Online social media are a perfect text source for stance analysis. Stance in human communication is concerned with speaker attitudes, beliefs, feelings and opinions. Expressions of stance are associated with the speakers’ view of what they are talking about and what is up for discussion and negotiation in the intersubjective exchange. Taking stance is thus crucial for the social construction of meaning. Increased knowledge of stance can be useful for many application fields such as business intelligence, security analytics, or social media monitoring. In order to process large amounts of text data for stance analyses, linguists need interactive tools to explore the textual sources as well as the processed data based on computational linguistics techniques. Both original texts and derived data are important for refining the analyses iteratively. In this work, we present a visual analytics tool for online social media text data that can be used to open up the investigation of stance...

• Type: Journal
• Year: 2016
• Where: IVS
• Authors: Kostiantyn Kucher, Teri Schamp-Bjerede, Andreas Kerren, Carita Paradis, Magnus Sahlgren
• Keywords: IVS 2016, Software Engineering