21 Giugno 2022 / byDimitri

Computational authorship studies are an increasingly popular topic for research among specialists sopra both elaboratore science and the humanities

Computational authorship studies are an increasingly popular topic for research among specialists sopra both elaboratore science and the humanities

It can be considered a form of style-based document authentication (Echtheitskritik), which has valuable applications that extend well beyond log in amor en linea the domain of literary analysis, to, for instance, the domain of forensic sciences. According sicuro Stamatatos’s 2009 survey of the field, ‘[t]he main intenzione behind statistically or computationally-supported authorship attribution is that by measuring some textual features we can distinguish between texts written by different authors.’22 22 Addirittura. Stamatatos, ‘Per survey’ (n. 14, above) 538. This basic assumption implies that it should be possible puro assess, for any new unseen document, whether or not it was written by other authors for whom we have texts available. Nowadays computational authorship studies are often considered verso subfield of stylometry in the digital humanities, the broader computational study of the writing style of texts.23 23 D. Holmes, ‘The evolution of stylometry sopra humanities scholarship’, LLC 13 (1998) 111–17.

While stylometry has per rich history, dating back preciso at least the nineteenth century, it is clear that it received its most important impetus only durante the past two or three decades, stimulated by the rise of (personal) computing and the increased availability of large bodies of text per electronic form. Apart from the influential, yet more conventional, statistical analyses carried out by pioneers such as Mosteller and Wallace or John Burrows well before the 1990s, an influential approach durante authorship studies has been puro approach the attribution of anonymous texts as verso ‘text categorization’ problem.24 24 Mosteller and Wallace, Inference and disputed authorship (n. 4, above) and J. Burrows, Computation into criticism: verso study of Jane Austen’s novels (Oxford 1987). Heavily influenced by parallel research mediante elaboratore science, the intenzione was sicuro optimize a statistical classifier on example texts by verso number of available candidate authors, much like verso spam filter nowadays is still trained on manually annotated emails sicuro learn how to distinguish between ‘junk’ email and normal messages.25 25 F. Sebastiani, ‘Machine learning con automated text categorisation’, ACM Pc Surveys 34 (2002) 1–47. After istruzione such a classifier on this example datazione, the classifier could then be used puro categorize or classify anonymous text as belonging to one of the addestramento authors’ oeuvres.

It resembles a police lineup, con which the correct author of an anonymous text has esatto be singled out from per series of available candidate authors for whom reference or ‘training’ material is available

This text categorization setup is commonly known as ‘authorship attribution’.26 26 The following paragraph heavily draws on M. Koppel and Y. Winter, ‘Determining if two documents are written by the same author’, JASIST 65 (2014) 178–187. For per number of years, practitioners of stylometry have che puro acknowledge the limitations of authorship attribution, because it necessarily assumes that the correct target author is indeed included con the set of candidates. Durante many real-world cases, this problematic assumption cannot possibly be made, because the serie of relevant candidates is difficult or impossible onesto establish beforehand. Because of this, the setup of authorship verification has recently been introduced as a new framework: here, the task is onesto verify whether or not an anonymous document was written by one or several of verso series of candidate authors. Per some sense, authorship verification redefines the text categorization problem by adding an additional category label: ‘None of the above.’

Durante the present context, it should be emphasized that the problem posed by the HA is verso ‘vanilla’ example of a problem sopra authorship verification: while the raccolta indeed contains a number of (auto-) attributions, the veracity of all of these has been questioned in previous scholarship

Verification is hence an increasingly common experimental setup mediante authorship studies, and is the topic of a dedicated track sopra the yearly PAN competition, an annual competition on finding computational solutions sicuro issues durante present-day textual forensics, mostly related esatto the detection of plagiarism, authorship, and affable software misuse (such as grooming or Wikipedia vandalism).27 27 The competition’s website is pan.webis.de. The most recent survey of an authorship verification track is: E. Stamatatos et al., ‘Overview of the author identification task at PAN 2015′ mediante Working Taccuino Papers of the CLEF 2015 Evaluation Labs, e. L. Cappellato et al. (2015). Generally speaking, authorship verification is verso more generic problem than authorship attribution – i.di nuovo. every attribution problem could, sopra principle, be cast as a verification problem – but it has also proven to be more challenging. In our experiments, we have therefore attempted preciso radically minimize any assumptions on our part as to the authorial provenance of the texts durante the HA. For each piece of text analysed below, we propose onesto independently assess the probability that it was written by one of the (alleged) individual authors identified per the corpo.