Authorship attribution is associated with important applications in forensics and humanities research. A crucial point in this field is to quantify the personal style of writing, ideally in a way that is not affected by changes in topic or genre. In this paper, we present a novel method that enhances authorship attribution effectiveness by introducing a text distortion step before extracting st...

OBJECTIVE This study uses the Attribution Style Questionnaire (ASQ) to measure the causal thinking of 42 college students with diagnosed language-based learning disabilities (LD), ADHD, or co-occurring ADHD and LD. Attribution style, or explanatory style, is a term used to describe the tendencies of individuals to think that the causes of meaningful events are internal or external, global or sp...

Source code attribution classifiers have recently become powerful. We consider the possibility that an adversary could craft code with the intention of causing a misclassification, i.e., creating a forgery of another author’s programming style in order to hide the forger’s own identity or blame the other author. We find that it is possible for a non-expert adversary to defeat such a system. In ...

The aim of the authorship attribution is identification of the author/s of unknown document(s). Every author has a unique style of writing pattern. The present paper identifies the unique style of an author(s) using lexical stylometric features. The lexical feature vectors of various authors are used in the supervised machine learning algorithms for predicting the unknown document. The highest ...

Highly optimistic explanatory style (HOES) and highly pessimistic explanatory style (HPES) are two maladaptive ways to explain the world and may have roots in attachment insecurity. The current study aims to explore the effects of security priming - activating supportive representations of attachment security - on ameliorating these maladaptive explanatory styles. 57 participants with HOES and ...

Translatorship attribution deals with accurately attributing a translation to its translator. The task is challenging because several factors can confound the such as original author’s style, genre, and topic of text. identification translator’s style could contribute fields including studies forensic linguistics. In this paper, we pose translatorship multiclass classification problem employ ma...