Forensic Authorship Analysis and the World Wide Web

2014. Auflage 2014
ISBN: 978-1-137-41374-1
Verlag: Palgrave MacMillan UK

Buch, Englisch, 76 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 263 g

Implementing a novel method for identifying idiolectal co-selections, and taking the UNABOM investigation as a case study, this Pivot evaluates the effectiveness and reliability of using the web for forensic purposes.

Autoren/Hrsg.

Larner, S.

Fachgebiete

• Geisteswissenschaften Sprachwissenschaft Sprachwissenschaften
• Geisteswissenschaften Sprachwissenschaft Soziolinguistik
• Geisteswissenschaften Sprachwissenschaft Schreiben und Publizieren, Kreatives Schreiben
• Geisteswissenschaften Sprachwissenschaft Computerlinguistik, Korpuslinguistik

Inhaltsverzeichnis

1. Introduction: The UNABOM Investigation 2. The Web as Corpus and Authorship Attribution 3. Attributing Documents to Unknown Authors Using Idiolectal Co-selection and the Web 4. Attributing Documents to Candidate Authors Using Idiolectal Co-Selection and the Web 5. The Suitability of the Web for Producing Forensic Evidence ? ?

Über Autor(innen)

Samuel Larner is a Lecturer in Forensic Linguistics at the University of Central Lancashire, UK. His research interests are primarily in forensic linguistics, specifically authorship analysis and deception detection. Samuel is a Fellow of the Higher Education Academy and teaches both undergraduate and postgraduate modules in linguistics, contributing in particular to an innovative and interdisciplinary MSc in Emotions, Credibility and Deception.