Visual analysis of stance markers in online social media

Research output: Contribution to conferencePaper, not in proceeding


Stance in human communication is a linguistic concept relating to expressions of subjectivity such as the speakers’ attitudes and emotions. Taking stance is crucial for the social construction of meaning and 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 results of computational linguistics techniques. Both aspects are important for refining the analyses iteratively. In this work, we present a visual analytics tool for online social media text data and corresponding time-series that can be used to investigate stance phenomena and to refine the so-called stance markers collection.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Languages and Literature


  • visualization, text visualization, interaction, time-series, stance analsyis, sentiment analysis, NLP, text analystics
Original languageEnglish
Publication statusPublished - 2014
Publication categoryResearch
EventIEEE Visual Analytics Science and Technology (VAST '14), - Paris
Duration: 2014 Sep 14 → …


ConferenceIEEE Visual Analytics Science and Technology (VAST '14),
Period2014/09/14 → …