Deceptive identity performance:Offender moves and multiple identities in online child abuse conversations

This article provides a case study of deceptive online identity performance by a convicted child sex offender. Most prior linguistic and psychological research into online sexual abuse analyses transcripts involving adult decoys posing as children. In contrast, our data comprise genuine online conversations between the offender and 20 victims. Using move analysis (Swales 1981, 1990), we explore the offender’s numerous presented personas. The offender’s use of rhetorical moves is investigated, as is the extent to which the frequency and structure of these moves contribute to and discriminate between the various online personas he adopts. We find from eight frequently adopted personas that two divergent identity positions emerge: the sexual pursuer/aggressor, performed by the majority of his online personas, and the friend/boyfriend, performed by a single persona. Analysis of the offender’s self-describing assertives suggests this distinctive persona shares most attributes with the offender’s ‘home identity’. This article importantly raises the question of whether move analysis might be useful in identifying the ‘offline persona’ in cases where offenders are known to operate multiple online personas in the pursuit of child victims

“go on cam but dnt be dirty”: linguistic levels of identity assumption in undercover online operations against child sex abusers

One way in which linguists have been able to offer their expertise to undercover online policing in England and Wales is assisting police officers in the assumption of alternative identities in order to apprehend offenders in the context of the online sexual abuse and grooming of children. With reference to the historical Instant Messaging (IM) logs of a teenage female victim in a closed case of online sexual abuse, and the IM logs of trainee undercover officers (UCOs) as they attempt to impersonate her during a training task, we report here on work that draws on analyses of online interactions to develop a linguistic model that can be used to improve performance in identity disguise. We compare trainees’ performance before and after input from linguists in order to show how analysis at a number of linguistic levels can contribute to the training and support of specialist investigators of online child sex abuse

Online grooming:moves and strategies

Using transcripts of chatroom grooming interactions, this paper explores and evaluates the usefulness of Swales’ (1981) move analysis framework in contributing to the current understanding of online grooming processes. The framework is applied to seven transcripts of grooming interactions taken from perverted-justice.com. The paper presents 14 identified rhetorical moves used in chatroom grooming and explores the broad structures that grooming conversations take by presenting these structures as colour-coded visualisations which we have termed “move maps”. It also examines how some individual linguistic features are used to realise a single move termed “Assessing and Managing Risk”. The findings suggest that move analysis can usefully contribute in two key ways: determining communicative functions associated with 'grooming language' and the visualisation of variation between grooming interactions

Non-Destructive Testing of Carbon Fiber Crank Arms

Carbon fiber components present unique challenges for detecting defects, damage, and fatigue. Nondestructive methods exist for testing and locating defects. However, most of these methods are expensive, not versatile enough for practical use on non-idealized parts, or both. Vibrothermography can be an affordable option and has shown promising results with thin rectangular panels. The goal of this senior project was to assess the feasibility of using vibrothermography to find defects in SRAM carbon fiber crank arms. Our team found vibrothermography to be a feasible method of non-destructive testing for carbon fiber crank arms, and this report discusses the development and implementation of the necessary theory, fixturing, and testing procedures

Labeless and reversible immunosensor assay based upon an electrochemical current-transient protocol

A novel labeless and reversible immunoassay based upon an electrochemical current-transient protocol is reported which offers many advantages in comparison to classical immuno-biochemical analyses in terms of simplicity, speed of response, reusability and possibility of multiple determinations. Conducting polypyrrole films containing antibodies against 1) Bovine Serum Albumin (BSA) and 2) Digoxin were deposited on the surface of platinum electrodes to produce conductive affinity matrices having clearly defined binding characteristics. The deposition process has been investigated using 125I labelled anti-digoxin to determine optimal fabrication protocols. Antibody integrity and activity, together with non-specific binding of antigen on the conducting matrix have also been investigated using tritiated digoxin to probe polypyrrole/anti-digoxin films. Amperometric responses to digoxin were recorded in flow conditions using these films, but the technique was limited in use mainly due to baseline instability. Anti-BSA - polypyrrole matrices were investigated in more detail in both flow and quiescent conditions. No observable response was found in flow conditions, however under quiescent conditions (in non-stirred batch cell), anti-BSA – polypyrrole films have been demonstrated to function as novel quantitative chronoamperometric immuno-biosensors when interrogated using a pulsed potential waveform. The behaviour of the electrodes showed that the antibody/antigen binding and/or interaction process underlying the response observed was reversible in nature, indicating that the electrodes could be used for multiple sensing protocols. Calibration profiles for BSA demonstrated linearity for a concentration range of 0-50 ppm but tended towards a plateau at higher concentrations. Factors relating to replicate sensor production, sample measurement and reproducibility are discuss

Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks

Information fusion is an essential part of numerous engineering systems and biological functions, e.g., human cognition. Fusion occurs at many levels, ranging from the low-level combination of signals to the high-level aggregation of heterogeneous decision-making processes. While the last decade has witnessed an explosion of research in deep learning, fusion in neural networks has not observed the same revolution. Specifically, most neural fusion approaches are ad hoc, are not understood, are distributed versus localized, and/or explainability is low (if present at all). Herein, we prove that the fuzzy Choquet integral (ChI), a powerful nonlinear aggregation function, can be represented as a multi-layer network, referred to hereafter as ChIMP. We also put forth an improved ChIMP (iChIMP) that leads to a stochastic gradient descent-based optimization in light of the exponential number of ChI inequality constraints. An additional benefit of ChIMP/iChIMP is that it enables eXplainable AI (XAI). Synthetic validation experiments are provided and iChIMP is applied to the fusion of a set of heterogeneous architecture deep models in remote sensing. We show an improvement in model accuracy and our previously established XAI indices shed light on the quality of our data, model, and its decisions.Comment: IEEE Transactions on Fuzzy System

Do Perverted Justice chat logs contain examples of Overt Persuasion and Sexual Extortion?:A research note responding to Chiang and Grant 2017 and 2018.

Studies by Chiang and Grant (2017, 2018) on the rhetorical moves of online child sexual abusers suggest that interactions between offenders and adults posing as children differ in various ways from those between offenders and genuine child victims. They point specifically to the use by one offender of moves identified as Overt persuasion and Extortion in his interactions with real children noting that these were absent from data featuring adults posing as children. The current study in-vestigates whether these more coercive and forceful moves are in fact absent in sexualised inter-actions between offenders and adult decoys by applying corpus linguistic techniques to a corpus of 622 chat logs. It is shown that overtly persuasive language is rare in the texts, and that no extortion occurred. This finding support’s Chiang and Grant’s claim and their assertion that data featuring adult decoys is not truly representative of interactions between child victims and their abusers