Forensic Authorship Analysis and the World Wide Web by Samuel Larner (auth.)

By Samuel Larner (auth.)

Implementing a unique approach for choosing idiolectal co-selections, and taking the UNABOM research as a case examine, this Pivot evaluates the effectiveness and reliability of utilizing the net for forensic purposes.

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Forensic Authorship Analysis and the World Wide Web

Enforcing a unique technique for picking out idiolectal co-selections, and taking the UNABOM research as a case learn, this Pivot evaluates the effectiveness and reliability of utilizing the internet for forensic reasons.

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0004  Forensic Authorship Analysis and the World Wide Web were likely “due to temporary system difficulties” (p. 25). On the other hand, Bing showed a great deal of instability in the first two months of the period under investigation, but then stabilised. ” (p. 25). To exemplify the problems of relying on search engine word counts, a series of queries were highlighted for further discussion, including the multi-word expression best of both worlds. Rayson, Charles and Auty (2012) explain that this multi-word expression was fairly stable as a search query in Google, with search result counts changing little more than five per cent between days.

Again, results cannot be replicated which leads Schäfer and Bildhauer (2013) to conclude rather damningly that “[e]ven if all other points of criticism put forward here were invalid, this single fact makes reporting search engine results bad science” (p. 3). The legal system is no place for bad science. Taking into account these criticisms of using the web as a corpus, it seems that at best, search engines have the potential for some unreliability, whilst at worst they might be considered a form of bad science leading to results which are biased in favour of commercial interests – a form of contaminated data.

As such, the method outlined in this research is novel and all conclusions will necessarily be confined to this one approach. 2. 1 Data and method In order to investigate the extent to which the web can be used to assess the distinctiveness of idiolectal co-selection, data in the form of published articles whose authorship could be attested was selected. Since this chapter is concerned with attributing a QD when no suspects are available, only one document was required (QD1), and for this purpose, a linguistics article by Shuy (2002) was selected.

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