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Infectious Texts: Modeling Text Reuse in Nineteenth-Century Newspapers
| Citations: | 3 - 0 self |
BibTeX
@MISC{Smith_infectioustexts:,
author = {David A. Smith and Ryan Cordell and Elizabeth Maddock Dillon},
title = {Infectious Texts: Modeling Text Reuse in Nineteenth-Century Newspapers},
year = {}
}
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Abstract
Texts propagate through many social networks and provide evidence for their structure. We present effi-cient algorithms for detecting clusters of reused pas-sages embedded within longer documents in large collections. We apply these techniques to analyzing the culture of reprinting in the United States before the Civil War. Without substantial copyright enforcement, stories, poems, news, and anecdotes circulated freely among newspapers, magazines, and books. From a collection of OCR’d newspapers, we extract a new cor-pus of reprinted texts, explore the geographic spread and network connections of different publications, and analyze the time dynamics of different genres. Index Terms clustering algorithms; nearest neighbor searches 1.
Keyphrases
nineteenth-century newspaper infectious text modeling text reuse different publication index term large collection present effi-cient algorithm new cor-pus geographic spread reused pas-sages reprinted text text propagate different genre civil war network connection substantial copyright enforcement ocr newspaper neighbor search united state many social network time dynamic
