• Publications
  • Influence
Who's At The Keyboard? Authorship Attribution in Digital Evidence Investigations
  • C. Chaski
  • Computer Science
  • Int. J. Digit. EVid.
  • 2005
TLDR
In some investigations of digital crime, the question of who was at the keyboard when incriminating documents were produced can be legitimately raised. Expand
  • 191
  • 14
  • PDF
Identifying Authorship by Byte-Level N-Grams: The Source Code Author Profile (SCAP) Method
TLDR
We present a new approach, called the SCAP (Source Code Author Profiles) approach, based on byte-level n-gram profiles representing the source code author’s style. Expand
  • 108
  • 11
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Empirical evaluations of language-based author identification techniques
TLDR
Syntactic analysis, syntactically-classified punctuation, sentential complexity, vocabulary richness, readability, content analysis, spelling errors, punctuation errors, word form errors, and grammatical errors. Expand
  • 133
  • 8
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Networked Academic Publishing and the Rhetorics of Its Reception
TLDR
Electronic Publishing is part of what Mark Poster calls a cultural shift from print-wrapped language to "electronically wrapped language" (11), and it is here to stay. Expand
  • 5
  • 2
Best Practices and Admissibility of Forensic Author Identification
Forensic linguistics provides answers to four categories of inquiry in investigative and legal settings: (i) identification of author, language, or speaker; (ii) intertextuality, or the relationshipExpand
  • 26
  • 2
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Author Identification In The Forensic Setting
  • 11
  • 1
The Keyboard Dilemma and Authorship Identification
  • C. Chaski
  • Computer Science
  • IFIP Int. Conf. Digital Forensics
  • 28 January 2007
TLDR
The keyboard dilemma is the problem of identifying the authorship of a document that was produced by a computer to which multiple users had access. Expand
  • 17
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IntentFinder: A system for discovering significant information implicit in large, heterogeneous document collections and computationally mapping social networks and command nodes
TLDR
IntentFinder is a computational method of extracting mutually relevant information from a large collection of narrative data that takes advantage of a new view of documents as coming from evolving stories. Expand
  • 4
Linear and Metrical Analyses of Manam Stress
  • 5