Text Visualization and Close Reading for Journalism with Storifier

Sultanum, Nicole; Bezerianos, Anastasia; Chevalier, Fanny

doi:10.1109/vis49827.2021.9623264

Cited by 2 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Viewed through the lens of this recommendation, ClioQuery reflects one strategy for a text analytics system fundamentally organized around displaying spans from a corpus. Other work from Sultanum et al [126] also explores this "reading-centered approach. " Some authors of prior text analytics systems have later noted the importance of showing underlying documents during interactive analysis.…”

Section: Results and Analysismentioning

confidence: 99%

ClioQuery: Interactive Query-Oriented Text Analytics for Comprehensive Investigation of Historical News Archives

Handler¹,

Mahyar²,

O’Connor³

2022

Preprint

View full text Add to dashboard Cite

Historians and archivists often find and analyze the occurrences of query words in newspaper archives, to help answer fundamental questions about society. But much work in text analytics focuses on helping people investigate other textual units, such as events, clusters, ranked documents, entity relationships, or thematic hierarchies. Informed by a study into the needs of historians and archivists, we thus propose ClioQuery, a text analytics system uniquely organized around the analysis of query words in context. ClioQuery applies text simplification techniques from natural language processing to help historians quickly and comprehensively gather and analyze all occurrences of a query word across an archive. It also pairs these new NLP methods with more traditional features like linked views and in-text highlighting to help engender trust in summarization techniques. We evaluate ClioQuery with two separate user studies, in which historians explain how ClioQuery's novel text simplification features can help facilitate historical research. We also evaluate with a separate quantitative comparison study, which shows that ClioQuery helps crowdworkers find and remember historical information. Such results suggest possible new directions for text analytics in other query-oriented settings.CCS Concepts: • Human-centered computing → Interactive systems and tools.

show abstract

Section: Results and Analysismentioning

confidence: 99%