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A survey of modern authorship attribution methods.

Authorship attribution supported by statistical or computational methods has a long history starting from the 19th century and is marked by the seminal study of Mosteller and Wallace (1964) on the authorship of the disputed Federalist Papers. During the last decade, this scientific field has been de...

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Published in:Journal of the American Society for Information Science & Technology Vol. 60; no. 3; pp. 538 - 557
Main Author: Stamatatos E
Format: equations & formulas research tables/charts Journal Article
Published: Wiley-Blackwell Mar2009
Online Access:View this record in EBSCOhost
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      dt: Mar2009
      vid: 60
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        105474379
        2010219623
        10.1002/asi.21001
        105474379
      ppf: 538
      ppct: 19
      formats:
      tig:
        atl: A survey of modern authorship attribution methods.
      aug:
        au: Stamatatos E
      sug:
        subj:
          Authorship Evaluation
          Statistics
          Surveys
          Human
      ab: Authorship attribution supported by statistical or computational methods has a long history starting from the 19th century and is marked by the seminal study of Mosteller and Wallace (1964) on the authorship of the disputed Federalist Papers. During the last decade, this scientific field has been developed substantially, taking advantage of research advances in areas such as machine learning, information retrieval, and natural language processing. The plethora of available electronic texts (e.g., e-mail messages, online forum messages, blogs, source code, etc.) indicates a wide variety of applications of this technology, provided it is able to handle short and noisy text from multiple candidate authors. In this article, a survey of recent advances of the automated approaches to attributing authorship is presented, examining their characteristics for both text representation and text classification. The focus of this survey is on computational requirements and settings rather than on linguistic or literary issues. We also discuss evaluation methodologies and criteria for authorship attribution studies and list open questions that will attract future work in this area.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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