Recently, there has been a noticeable growth in textual content generated through advanced language models, such as chatGPT, across various social networks. ChatGPT can produce content that closely emulates human writing, making it ...

This study investigates the application of Large Language Models (LLMs) in generating commentaries on neuroscientific papers, with a focus on their stylometric differences from human-written texts. Utilizing three papers from reputable journals in ...

Music information retrieval is a field of signal processing that offers sophisticated tools for generating computer-assisted musical systems. Acoustic fingerprinting is a well-known application of such discipline whose purpose is to extract ...

This research examines the innovative application of stylometry and machine learning in predicting individual IQ scores through analysis of textual data on social media platforms. Leveraging the rich and diverse linguistic landscape of social media, our ...

The paper demonstrates the research methodology focused on observations of relations between attribute relevance, displayed by rankings, and discretisation. Instead of transforming all continuous attributes before data exploration, the variables ...

Social media platforms present significant threats against underage users targeted for predatory intents. Many early research works have applied the footprints left by online predators to investigate online grooming. While digital ...

• Presents a comprehensive survey of child exploitation in chat logs.
• Provides in-...

The paper presents a description of the research methodology dedicated to a two-step discretisation process applied to the input numeric data, with combining the characteristics of selected supervised and unsupervised algorithms, which leads to ...

The Impostors method is one of the most successful solvers of author verification problems. Given a pair of texts, it aims to find whether the same author wrote them or not. This paper describes a proposed approach with the primary objective of ...

The increasingly anonymous methods people use to communicate in the modern world allow for more freedom of speech. The safety of anonymity, however, can enable criminals to cause harm to others through various means, such as blackmail, verbal ...

The paper concerns the authorship recognition in a collection of Polish literary texts from the late 19th and early 20th centuries, consisting of 99 novels from 33 authors. The authors divide the books into smaller parts and analyze the ...

We present a novel approach for conducting authorship attribution over tweets using Long-Short Term Memory networks (LSTMs). Vanilla LSTMs use the last hidden state for prediction. Our strategy introduces a mechanism based on Max Pooling to process all ...

The area of feature selection methods constantly expands along with the development of artificial intelligence domain, and has great impact on almost every field, whenever data is processed and explored. The paper presents research where a ranking ...

Stylometric analysis of texts relies on learning characteristic traits of writing styles for authors. Once these patterns are discovered, they can be compared to the ones present in other text samples, to recognise their authorship. This ...

Cross-validation is a popularly used approach to evaluation of performance for classifiers. It relies on random selection of independent samples for training and testing, and assumes that if any similarities among samples exist, they do not lead ...

Authorship identification focuses on finding the particular author of an anonymous or unknown document by extracting various predictive features related to that document. It helps to predict the most probable author of articles, messages, codes, ...

The decision of reading or not a research paper is commonly made while reading its title and abstract. Although content and merit should lead to that decision, other factors such as writing style may intervene. Eventually, more readings could ...$\mathrm{}$

The problem of determining the author of a text, i.e. authorship attribution (AA), is based on the assumption on the stability and uniqueness of the authorial style. Since it is obvious that a lot of content words bear topical information, ...

This paper presents a novel iris recognition system based on machine learning methods. The motivation behind this research resides in the interrelatedness of biometric systems and stylometry, as shown in our previous research. The main ...

• Virtually perfect classification with zero false acceptance rates.
• Extremely ...

Author verification is a fundamental problem in authorship attribution, and it suits most relevant applications where it is not possible to predefine a closed set of suspects. So far, the most successful approaches attempt to sample the non-target ...

Darknet crypto markets are online marketplaces using crypto currencies (e.g., Bitcoin, Monero) and advanced encryption techniques to offer anonymity to vendors and consumers trading for illegal goods or services. The exact volume of substances ...