Detecting and Evaluating Local Text Reuse in Social Networks

Shaobin Xu, David A Smith, Abigail Mullen, Ryan Charles Cordell

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish (US)
Title of host publicationProceedings of the Joint Workshop on Social Dynamics and Personal Attributes in Social Media
PublisherAssociation for Computational Linguistics (ACL)
StatePublished - 2014
Externally publishedYes


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