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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.

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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 ? ?

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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.

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