Ashley R. Sanders

Visualizing History's Fragments (eBook, PDF)

A Computational Approach to Humanistic Research

• Format: PDF

Produktbeschreibung

This book combines a methodological guide with an extended case study to show how digital research methods can be used to explore how ethnicity, gender, and kinship shaped early modern Algerian society and politics. However, the approaches presented have applications far beyond this specific study. More broadly, these methods are relevant for those interested in identifying and studying relational data, demographics, politics, discourse, authorial bias, and social networks of both known and unnamed actors.

Ashley R. Sanders explores how digital research methods can be used to study archival specters - people who lived, breathed, and made their mark on history, but whose presence in the archives and extant documents remains limited, at best, if not altogether lost. Although digital tools cannot metaphorically resurrect the dead nor fill archival gaps, they can help us excavate the people-shaped outlines of those who might have filled these spaces.

The six methodological chapters explain why and how each research method is used, present the visual and quantitative results, and analyze them within the context of the historical case study. In addition, every dataset is available on SpringerLink as Electronic Supplementary Material (ESM), and each chapter is accompanied by one or more video tutorials that demonstrate how to apply each of the techniques described (accessed via the SN More Media App).

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 345
• Erscheinungstermin: 19. Juni 2024
• Englisch
• ISBN-13: 9783031469763
• Artikelnr.: 72241967

Autorenporträt

Ashley R. Sanders is Vice Chair of the Digital Humanities Program at UCLA, USA. Her teaching interests include applied statistics, computational text analysis, and social media data analytics. Sanders has taught both introductory and advanced Digital Humanities courses for both undergraduate and graduate students.

Inhaltsangabe

1. Getting Started.- 2. Understanding the Context.- 3. Detecting Bias in Textual Sources.- 4. Humanistic Data-Classifying Individuals & Visualizing Silences.- 5. Data Aggregation and Exploratory Visualization.- 6. Descriptive Statistics-Investigating Questions of Representativeness.- 7. Testing Relationships between Categorical Variables.- 8. Social Network Analysis-Identifying Women's Socio-Political Roles.- 9. Where do We Go from Here?