0000000000658967
AUTHOR
Verena Elisabeth Lechner
Modality and Uncertainty in Data Visualizations: A Corpus Approach to the Use of Connecting Lines
In data visualizations, connecting lines may have various semiotic functions, including the semiotic potential of indicating modality and uncertainty. The goal of this article is to find out how this semiotic potential is realized in current best practices of data visualizations and what conventions exist for the visual manifestations of these functions. This issue is addressed by using a corpus-based approach and a two-level analysis method within a social semiotic framework. First, the article offers a theoretical discussion on how the concepts of modality and uncertainty interrelate. Second, a method for investigating how these concepts are visualized at different levels is presented. Th…
Arrows and their modern versions: narrativity signalled by lines in data visualizations
For creating and reading data visualizations, visual literacy is crucial. This article advances the knowledge about graphical variations and conventions related to the basic graphical element of th...
Meaningful lines : Social semiotic investigations of the graphical line, used as a connector in digital data visualizations
The paper III is not published yet. The dissertation investigates the graphical line, used as a connector in digital data visualizations (DVs), from a social semiotic perspective. It explores the semiotic functions of connecting lines in digital DVs, building empirically on two corpus analyses. These analyses are concerned with how two key semiotic functions are graphically realized in the selected lines and whether graphical conventions regulating these realizations can be identified. In the dissertation the connecting line is researched as a central element of several different DV types – line graphs, timelines, route maps, connection maps, network diagrams, etc. Today, DVs are used in a …
Modality and uncertainty in data visualizations : A corpus approach to the use of connecting lines
Paid Open Access