But since I feel that you are men of genuine good will and that your criticisms are sincerely set forth, I want to try to answer your statement in what I hope will be patient and reasonable terms. If I sought to answer all the criticisms that cross my desk, my secretaries would have little time for anything other than such correspondence in the course of the day, and I would have no time for constructive work. This will support police in better understanding how such groups operate.While confined here in the Birmingham city jail, I came across your recent statement calling my present activities “unwise and untimely.” Seldom do I pause to answer criticism of my work and ideas. Through an analysis of stance markers in in-group online chats, this project seeks to identify the topics and issues that present themselves as particularly salient to the group. Motivations of self-styled 'paedophile-hunters'ĭr Emily Chiang is investigating the linguistic activities and motivations of 'paedophile-hunting' groups. Grounded in an interdisciplinary approach, this project uses corpus linguistics and in-depth socio-pragmatic analysis to find out how discourses of intimidation, abuse and harassment are created and justified. Abuse and harassment in anti-abortion campaignsĭr Tahmineh Tayebi, AIFL, and Dr Pam Lowe, Sociology and Policy, are investigating the abusive language directed at Stella Creasy, MP for Walthamstow, in an anti-abortion campaign on Twitter. Our aim is to study individuals’ language over their lifetime, documenting which areas of language production remain stable and which are most subject to change. Individual variation across a lifetime: Up Series Projectĭata for this project comes from the UK television series Up, which has for the past 56 years revisited the same 14 British individuals every seven years. This allows us to compare results between the two projects and observe if there are any cross-linguistic similarities. This study is similar to the English idiolect project: we are interested in the influence of genre effects on the stability of individual idiolectal styles. Individual variation across genres: Spanish-language data Our focus in the analysis is on genre effects, with the aim to shed light on whether features of individual idiolectal styles are consistent across various contexts and modalities. We are collecting and analyzing written and spoken data produced in a variety of contexts and modalities by 100 participants. Research Associate in Forensic Linguisticsĭirector of the Centre for Forensic Text AnalysisĮmail: Individual variation across genres: English-language data Our People Directors, Academic and Research Staff Dr Emily Chiang Our research will thus use sociolinguistically dynamic, cross-genre data and in interpreting the findings we will be looking for ways to open the black box. Secondly, the studies use non-transparent classification algorithms meanwhile, in legal and forensic settings identification models need to be explanatorily rich because the forensic linguist needs to be both certain of the validity of his/her findings and able to explain them to lay triers of fact. Firstly, the relevant studies tend to use sociolinguistically and situationally homogeneous data whereas forensically realistic identification methods need to be able to capture stylistic similarities between texts created in different contexts and for different purposes and audiences. However, there are two problems with these approaches. In recent years the development of powerful computing tools and the easy accessibility of large quantities of linguistic data online have sparked renewed interest in authorship analysis and it is quantitative approaches that seem to be the most promising at the moment. Hundreds of style markers and a great variety of attribution techniques have been proposed over the years with some recent studies reporting attribution success rates for the less complex closed-set tasks in the region of 95 per cent (e.g. Forensic linguistic practice in cases of authorship identification is based on two assumptions: that every language user has a unique linguistic style, or 'idiolect', and that features characteristic of that style will recur with a relatively stable frequency (Coulthard, Grant and Kredens 2011: 536).
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