Literature DB >> 25489072

Patterns of text reuse in a scientific corpus.

Daniel T Citron1, Paul Ginsparg2.   

Abstract

We consider the incidence of text "reuse" by researchers via a systematic pairwise comparison of the text content of all articles deposited to arXiv.org from 1991 to 2012. We measure the global frequencies of three classes of text reuse and measure how chronic text reuse is distributed among authors in the dataset. We infer a baseline for accepted practice, perhaps surprisingly permissive compared with other societal contexts, and a clearly delineated set of aberrant authors. We find a negative correlation between the amount of reused text in an article and its influence, as measured by subsequent citations. Finally, we consider the distribution of countries of origin of articles containing large amounts of reused text.

Keywords:  arXiv; n-grams; plagiarism; text mining

Year:  2014        PMID: 25489072      PMCID: PMC4291616          DOI: 10.1073/pnas.1415135111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


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