TY - JOUR

T1 - Visual Analysis of Argumentation in Essays

AU - Kiesel, Dora

AU - Riehmann, Patrick

AU - Wachsmuth, Henning

AU - Stein, Benno

AU - Froehlich, Bernd

PY - 2021/2/15

Y1 - 2021/2/15

N2 - This paper presents a visual analytics system for exploring, analyzing and comparing argument structures in essay corpora. We provide an overview of the corpus by a list of ArguLines which represent the argument units of each essay by a sequence of glyphs. Each glyph encodes the stance, the depth and the relative position of an argument unit. The overview can be ordered in various ways to reveal patterns and outliers. Subsets of essays can be selected and analyzed in detail using the Argument Unit Occurrence Tree which aggregates the argument structures using hierarchical histograms. This hierarchical view facilitates the estimation of statistics and trends concerning the progression of the argumentation in the essays. It also provides insights into the commonalities and differences between selected subsets. The text view is the necessary textual basis to verify conclusions from the other views and the annotation process. Linking the views and interaction techniques for visual filtering, studying the evolution of stance within a subset of essays and scrutinizing the order of argumentative units enable a deep analysis of essay corpora. Our expert reviews confirmed the utility of the system and revealed detailed and previously unknown information about the argumentation in our sample corpus.

AB - This paper presents a visual analytics system for exploring, analyzing and comparing argument structures in essay corpora. We provide an overview of the corpus by a list of ArguLines which represent the argument units of each essay by a sequence of glyphs. Each glyph encodes the stance, the depth and the relative position of an argument unit. The overview can be ordered in various ways to reveal patterns and outliers. Subsets of essays can be selected and analyzed in detail using the Argument Unit Occurrence Tree which aggregates the argument structures using hierarchical histograms. This hierarchical view facilitates the estimation of statistics and trends concerning the progression of the argumentation in the essays. It also provides insights into the commonalities and differences between selected subsets. The text view is the necessary textual basis to verify conclusions from the other views and the annotation process. Linking the views and interaction techniques for visual filtering, studying the evolution of stance within a subset of essays and scrutinizing the order of argumentative units enable a deep analysis of essay corpora. Our expert reviews confirmed the utility of the system and revealed detailed and previously unknown information about the argumentation in our sample corpus.

KW - Argumentation Visualization

KW - Close and Distant Reading

KW - Coordinated and Multiple Views

KW - Glyph-based Techniques

KW - Information Visualization

KW - Text Analysis

KW - Text and Document Data

KW - Tree-based Visualization

KW - User Interfaces

KW - Visual Analytics

UR - http://www.scopus.com/inward/record.url?scp=85097127137&partnerID=8YFLogxK

U2 - 10.1109/TVCG.2020.3030425

DO - 10.1109/TVCG.2020.3030425

M3 - Article

C2 - 33048728

AN - SCOPUS:85097127137

VL - 27

SP - 1139

EP - 1148

JO - IEEE Transactions on Visualization and Computer Graphics

JF - IEEE Transactions on Visualization and Computer Graphics

SN - 1077-2626

IS - 2

M1 - 9222553

ER -