LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Nini, Andrea
Languages: English
Types: Doctoral thesis
Subjects:
There are several unresolved problems in forensic authorship profiling, including a lack of research focusing on the types of texts that are typically analysed in forensic linguistics (e.g. threatening letters, ransom demands) and a general disregard for the effect of register variation when testing linguistic variables for use in profiling. The aim of this dissertation is therefore to make a first step towards filling these gaps by testing whether established patterns of sociolinguistic variation appear in malicious forensic texts that are controlled for register. This dissertation begins with a literature review that highlights a series of correlations between language use and various social factors, including gender, age, level of education and social class. This dissertation then presents the primary data set used in this study, which consists of a corpus of 287 fabricated malicious texts from 3 different registers produced by 96 authors stratified across the 4 social factors listed above. Since this data set is fabricated, its validity was also tested through a comparison with another corpus consisting of 104 naturally occurring malicious texts, which showed that no important differences exist between the language of the fabricated malicious texts and the authentic malicious texts. The dissertation then reports the findings of the analysis of the corpus of fabricated malicious texts, which shows that the major patterns of sociolinguistic variation identified in previous research are valid for forensic malicious texts and that controlling register variation greatly improves the performance of profiling. In addition, it is shown that through regression analysis it is possible to use these patterns of linguistic variation to profile the demographic background of authors across the four social factors with an average accuracy of 70%. Overall, the present study therefore makes a first step towards developing a principled model of forensic authorship profiling.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1.1 The state of the art of authorship profiling in a forensic context ..........................................................13 1.2 Aims of the present study.....................................................................................................................16 2 FIGURE 4.6 - BOXPLOTS REPRESENTING THE DISTRIBUTIONS OF THE SCORES OF DIMENSION 2 (TOP LEFT), DIMENSION 3 (TOP RIGHT), DIMENSION 4 (MIDDLE LEFT), DIMENSION 5 (MIDDLE RIGHT) AND DIMENSION 6 (BOTTOM LEFT) FOR THE AMT AND FMT CORPORA...................................................................................................................................................... 109 TABLE 5-9 - LINGUISTIC VARIABLES THAT PRESENTED A SIGNIFICANT EFFECT FOR SOCIAL CLASS, SHOWING: P-VALUE ('1-T' INDICATES A ONE-TAILED VALUE) AND CORRELATION COEFFICIENT............................................................................................. 157 TABLE 5-11 - EXAMPLE OF IDEATIONAL METAPHOR FROM HALLIDAY (1999). THE SFL FORMALISM WAS CHANGED TO TRADITIONAL FORMALISM .................................................................................................................................................. 164
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article