StaViCTA - Advances in the description and explanation of stance in discourse using visual and computational text analytics

Project: Research

Layman's description

This interdisciplinary project across semantics, computational linguistics and information visualization investigates stance in human communication. Stancetaking, which is crucial for the social construction of meaning, involves expressions of attitudes, feelings, perspectives, judgements, doubts, trust and certainty.

This interdisciplinary project across semantics, computational linguistics and information visualization investigates stance in human communication. Stancetaking, which is crucial for the social construction of meaning, involves expressions of attitudes, feelings, perspectives, judgements, doubts, trust and certainty. Stancetaking is a forceful factor in the communicative dynamics of Web-based social media such as websites, blogs, communities or forums. This project focuses on analysing stance in such real-world streaming language data. Our goal is to identify the resources that language offers, how these resources act together and how they evolve in large amounts of digital text over time. This goal is achieved through the development of innovative, computational and interactive information visualization techniques. We propose a visual text analytics approach for the description, explanation and interpretation of stance in digital text media that includes automatic analyses seamlessly interwoven with interactive visualizations. This combination will make it possible for human beings to make sense of large and dynamic text data and allows for exploration, control and final evaluation of the analysis processes and results. Such an approach for analyzing stance is crucial for many application fields, including intelligence and security analytics, early warning and crisis management systems, financial analytics and business intelligence, and social media monitoring.
StatusActive
Effective start/end date2013/01/012018/01/02

Participants

Related research output

Skeppstedt, M., Carita Paradis & Kerren, A. 2016 In : CEUR Workshop Proceedings. 1650, p. 64-69 6 p.

Research output: Contribution to journalArticle

Kucher, K., Teri Schamp-Bjerede, Kerren, A., Carita Paradis & Sahlgren, M. 2016 In : Information Visualization. 15, 2, p. 93-116

Research output: Contribution to journalArticle

Skeppstedt, M., Teri Schamp-Bjerede, Sahlgren, M., Carita Paradis & Kerren, A. 2015 6th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, WASSA 2015 : Workshop proceedings. Alexandra, B., Erik, V. D. G., Piek, V. & Andrés, M. (eds.). Association for Computational Linguistics, p. 162-168 7 p.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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