Helga Lenart-Cheng 
Story Revolutions [EPUB ebook] 
Collective Narratives from the Enlightenment to the Digital Age

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Social media has facilitated the sharing of once isolated testimonies to an extent and with an ease never before possible. The #Me Too movement provides a prime example of how such pooling of individual stories, in large enough numbers, can fuel political movements, fortify a sense of solidarity and community, and compel public reckoning by bringing important issues into mainstream consciousness.

In this timely and important study, Helga Lenart-Cheng has uncovered the antecedents of this phenomenon and provided a historical and critical analysis of this seemingly new but in fact deeply rooted tradition. Story Revolutions features a rich variety of case studies, from eighteenth-century memoir collections to contemporary Web 2.0 databases, including memoir contests, digital story-maps, crowd-sourced Covid diaries, and AI-assisted life writing. It spans the Enlightenment, the 1930s, and the twenty-first century—three historical periods marked by a convergence of mass movements and new methods of data collection that led to a boom in activism based in the aggregation and communication of stories. Ultimately, this book offers readers a critical perspective on the concept of community itself, with incisive reflections on what it means to use storytelling to build democracy in the twenty-first century.

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Daftar Isi


Introduction

1. Towards Collective Intimacy

2. Early Story Collections: Setting the Stage

3. Libraries of Human Experience

4. To-Gather in Time

5. To-Gather in Space

6. Stories and Statistics

Postscript: Toward Algorithmic Collectives

Notes

Bibliography

Acknowledgments

Index

Tentang Penulis


Helga Lenart-Cheng is Associate Professor at St. Mary’s College of California.

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Bahasa Inggris ● Format EPUB ● Halaman 248 ● ISBN 9780813948409 ● Ukuran file 0.7 MB ● Penerbit University of Virginia Press ● Kota Charlottesville ● Negara US ● Diterbitkan 2022 ● Diunduh 24 bulan ● Mata uang EUR ● ID 8457908 ● Perlindungan salinan Adobe DRM
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