'A thing not beginning and not ending': using digital tools to distant-read Gertrude Stein's The Making of Americans

Clement, Tanya

doi:10.1093/llc/fqn020

Cited by 31 publications

(11 citation statements)

References 3 publications

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“…JigSaw, for example, is a visual analytics system to support sense-making across large document collections [45]. FeatureLens enables the exploration of patterns within text-based collections at different levels of granularity [10,8]. ManyEyes supports rapid data exploration and discussion through customizable web-based visualizations [49].…”

Section: Related Workmentioning

confidence: 99%

Speculative Practices: Utilizing InfoVis to Explore Untapped Literary Collections

Hinrichs

Forlini

Moynihan

2016

IEEE Trans. Visual. Comput. Graphics

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Abstract-In this paper we exemplify how information visualization supports speculative thinking, hypotheses testing, and preliminary interpretation processes as part of literary research. While InfoVis has become a buzz topic in the digital humanities, skepticism remains about how effectively it integrates into and expands on traditional humanities research approaches. From an InfoVis perspective, we lack case studies that show the specific design challenges that make literary studies and humanities research at large a unique application area for information visualization. We examine these questions through our case study of the Speculative W@nderverse, a visualization tool that was designed to enable the analysis and exploration of an untapped literary collection consisting of thousands of science fiction short stories. We present the results of two empirical studies that involved general-interest readers and literary scholars who used the evolving visualization prototype as part of their research for over a year. Our findings suggest a design space for visualizing literary collections that is defined by (1) their academic and public relevance, (2) the tension between qualitative vs. quantitative methods of interpretation, (3) result-vs. process-driven approaches to InfoVis, and (4) the unique material and visual qualities of cultural collections. Through the Speculative W@nderverse we demonstrate how visualization can bridge these sometimes contradictory perspectives by cultivating curiosity and providing entry points into literary collections while, at the same time, supporting multiple aspects of humanities research processes.

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Section: Related Workmentioning

confidence: 99%

Speculative Practices: Utilizing InfoVis to Explore Untapped Literary Collections

Hinrichs

Forlini

Moynihan

2016

IEEE Trans. Visual. Comput. Graphics

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“…Other applications mainly relate to library management and literature critique. For example, Clement (2008) used the text mining method to analyze Gertrude Stein's "The Making of Americans" and has different conclusions from that of other literature critics [3]. And Trappey (2007) applied the text mining method to analyze patent brochures [4].…”

Section: Text Miningmentioning

confidence: 99%

The Text Mining Analysis of Macau’s Participation in International Organizations

Wu¹,

Liu²,

Shi³

et al. 2016

IJUNESST

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“…While some disciplines within the humanities, such as literary studies [3], have already adopted research questions and practices that make use of digital data, other disciplines are still at an earlier stage of this process. This paradigm shift caused researchers to reflect on the changes that are required in their approaches [1] and how the new practices can extend the current research landscape.…”

Section: Motivationmentioning

confidence: 99%

Measuring and improving data quality of media collections for professional tasks

Traub

2014

Proceedings of the 5th Information Interaction in Context Symposium

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Carrying out research tasks on data collections is hampered, or even made impossible, by data quality issues of different types, such as incompleteness or inconsistency, and severity. We identify research tasks carried out by professional users of data collections that are hampered by inherent quality issues. We investigate what types of issues exist and how they influence these research tasks. To measure the quality perceived by professional users, we develop a quality metric. This allows us to measure the suitability of the data quality for a chosen user task. For a chosen task, we study how the data quality can be improved using crowdsourcing. We validate our quality metric by investigating whether professionals perform better on the chosen research task. MOTIVATIONDigitization initiatives in numerous libraries and archives and (linked) open data projects lead to a growing amount of digital information that can be used for research. While some disciplines within the humanities, such as literary studies [3], have already adopted research questions and practices that make use of digital data, other disciplines are still at an earlier stage of this process. This paradigm shift caused researchers to reflect on the changes that are required in their approaches [1] and how the new practices can extend the current research landscape.The data custodians, on the other side, put effort in making more content available in a way that users can easily access and navigate through it. The evaluation of digital archives and libraries needs to deal with a variety of aspects: data quality in respect to completeness, accuracy and consistency [6], usability of the interfaces and biases caused by selective digitization and collection policies [10]. On top of this, specific requirements of research tasks towards data enrichment and presentation have to be taken into account as * Third year PhD student at CWI, supervised by Jacco van Ossenbruggen and Lynda Hardman.Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. different tasks may e.g. weigh precision and recall differently [11]. For some tasks, objectively measurable aspects are crucial, while for other tasks the subjective perspective of users is more important [7].To our knowledge, no research has so far evaluated how well the data of digital archives supports specific research tasks of humanities researchers. Our research will therefore focus on the evaluation of data fitness for specific research tasks and how it can be improved.To make sure that the data in libraries and archives meets the requirements of researchers, improvements would ideally be made by experts, such as archivists and librarians. Their expertise, however, is ...

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'A thing not beginning and not ending': using digital tools to distant-read Gertrude Stein's The Making of Americans

Cited by 31 publications

References 3 publications

Speculative Practices: Utilizing InfoVis to Explore Untapped Literary Collections

Speculative Practices: Utilizing InfoVis to Explore Untapped Literary Collections

The Text Mining Analysis of Macau’s Participation in International Organizations

Measuring and improving data quality of media collections for professional tasks

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