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Detecting and Evaluating Local Text Reuse in Social Networks

Year: 2014

Type: conference-paper

Abstract: Texts propagate among participants in many social networks and provide evidence for network structure.We describe intrinsic and extrinsic evaluations for algorithms that detect clusters of reused passages embedded within longer documents in large collections.We explore applications of these approaches to two case studies: the culture of free reprinting in the nineteenth-century United States and the use of similar language in the public statements of U.S. members of Congress.

DOI: 10.3115/v1/w14-2707

Authors: Shaobin Xu, David Smith, Abigail Mullen, Ryan Cordell

Institution: Northeastern University

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: gold

OpenAlex ID: W2250322150

FWCI: 0.675

Cites: 16

Cited by: 5

Related to: 10