Controversies related to the concept and practice of responsible authorship and its misuse have been among the most prominent issues discussed in the recent literature on research integrity. Therefore, this paper aims to address the factors that lead...
Over the past few decades, researchers have put their effort and paid significant attention to the authorship attribution field, as it plays an important role in software forensics analysis, plagiarism detection, security attack detection, and protec...
The distribution of authorship in the age of machine learning or artificial intelligence (AI) suggests a taxonomic system that places art objects along a spectrum in terms of authorship: from pure human creation, which draws directly from the interio...
The study investigates the task of authorship attribution on short texts in Slovenian using the BERT language model. Authorship attribution is the task of attributing a written text to its author, frequently using stylometry or computational techniqu...
Traditionally, detecting misinformation (real vs. fake) and authorship (human vs. AI) have been addressed as separate classification tasks, leaving a critical gap in real-world scenarios where these challenges increasingly overlap. Motivated by this...
Authorship detection has played an important role in social information science. In this study, we propose a support vector machine (SVM)-based authorship detection model for classical Chinese texts. Term frequency-inverse document frequency (TF-IDF)...
In the present article, we illustrate and analyze the co-authorship network of Paul G. Mezey, focusing only on his collaborations on chirality-related papers. We consider scientific works from the Web of Science database as of 10 April 2024. Unlike p...
Scientific authorship is an evolving concept, being challenged by the numerous varieties in definition and practice of its ideational form. Variations in interpretation occur not only along the traditional demarcation line between hard sciences and t...
Increasing specialization, changes in the institutional incentives for publication, and a host of other reasons have brought about a marked trend towards co-authored articles among researchers. These changes have impacted Science and Technology (S&am...
The release of ChatGPT and similar applications in 2022 prompted wide-ranging discussions concerning the impact of AI technologies on writing, creativity, and authorship. This article explores the question of artificial writing, taking into considera...
In this work, we propose a novel approach to solve the authorship identification task on a cross-topic and open-set scenario. Authorship verification is the task of determining whether or not two texts were written by the same author. We model the do...
This entry explores the implications of generative AI for the underlying foundational premises of copyright law and the potential threat it poses to human creativity. It identifies the gaps and inconsistencies in legal frameworks as regards authorshi...
This article undertakes a comparative reading of the lives and legacies of Franz Kafka and Roberto Bolaño in order to explore the nature of their authorship after their deaths. To this end, this article considers the implications for the const...
We apply the integrated syntactic graph feature extraction methodology to the task of automatic authorship detection. This graph-based representation allows integrating different levels of language description into a single structure. We extract text...
Authorship in biomedical publications is critical for establishing accountability and contribution toward clinical and scientific research. We examined the frequency of discordance in authorship between presentations of clinical trial data at annual...
This article examines Split Fiction, a cooperative video game that engages with themes of authorship, creativity, and artificial intelligence in the digital age. The game presents aspiring authors whose creative ideas are extracted by a corporate mac...
Retraction notices appear regularly in many scholarly journals, especially top-tier journals of science and engineering. One disconcerting feature of this emergent genre is evasion of authorship, that is, the deliberate obscuring of who has authored...
Software authorship attribution, defined as the problem of software authentication and resolution of source code ownership, is of major relevance in the software engineering field. Authorship analysis of source code is more difficult than the classic...
22 January 2023
Gender inequalities in biomedical literature have been widely reported in authorship as well as the scarcity of results that are stratified by sex in the studies. We conducted a bibliometric review of articles on COVID-19 published in the main Spanis...
This study aimed to identify the boundaries between social entrepreneurship and entrepreneurship research through conducting a comparative analysis of international co-authorship networks. Analyzing 29,510 papers published in the Web of Science datab...
Automata and artificial intelligence (AI) have long occupied a central place in cultural and artistic imagination, and the recent proliferation of AI-generated artworks has intensified debates about authorship, creativity, and human agency. Empirical...
In the field of information technology, information security technologies hold a special place. They ensure the security of the use of information technology. One of the urgent tasks is the protection of electronic documents during their transfer in...
Participation in the writing or revising of a manuscript is, according to many journal guidelines, necessary to be listed as an author of the resulting article. This is the traditional concept of authorship. But there are good reasons to shift to a c...
Post-authorship attribution is a scientific process of using stylometric features to identify the genuine writer of an online text snippet such as an email, blog, forum post, or chat log. It has useful applications in manifold domains, for instance,...
This article is part of a series aimed at determining the authorship of source codes. Analyzing binary code is a crucial aspect of cybersecurity, software development, and computer forensics, particularly in identifying malware authors. Any program i...
Authorship attribution for less-resourced languages like Romanian, characterized by the scarcity of large, annotated datasets and the limited number of available NLP tools, poses unique challenges. This study focuses on a hybrid Transformer combining...
This article reports on the use of self-authorship as a pedagogical tool to develop pre-service teachers’ professional identities. Pre-professional identity is considered a dynamic, less mature version of professional identity. Such a notion of...
The computer age has transformed Pauline stylometric analyses by enabling quick, repeatable studies. However, studies continue to produce conflicting results. This paper highlights the core limitations of computational stylometric analyses in contrib...
Many open-source projects are developed by the community and have a common basis. The more source code is open, the more the project is open to contributors. The possibility of accidental or deliberate use of someone else’s source code as a clo...
Despite the public availability, finding experts in any field when relying on academic publications can be challenging, especially with the use of jargons. Even after overcoming these issues, the discernment of expertise by authorship positions is of...
Academic citation and social attention measure different dimensions of the impact of research results. Both measures do not correlate with each other, and they are influenced by many factors. Among these factors are the field of research, the type of...
This article is the third paper in a series aimed at the establishment of the authorship of Russian-language texts. This paper considers methods for determining the authorship of classical Russian literary texts, as well as fanfiction texts. The proc...
Despite progress made in recent decades, gender bias is still present in scientific publication authorship. The underrepresentation of women and overrepresentation of men has already been reported in the medical fields but little is known in the fiel...
The inherent traits of digital media have challenged traditional understandings of artistic authorship and creativity. This division in understanding can clearly be observed in the popular culture context of hip-hop music. Hip-hop initially began wit...
The dark web is a part of the deep web that ensures anonymity to users, thus facilitating various malicious activities, such as the sales of drugs, firearms, and personal information or the dissemination of malware and cyberattack tools. These activi...
For nearly six decades, Gerhard Richter has challenged the conceptual and visual limits of contemporary painting. His 2011 work Strip overloads the viewer’s visual perception. Richter created this unique digital print using a process that delib...
This paper is a continuation of our previous work on solving source code authorship identification problems. The analysis of heterogeneous source code is a relevant issue for copyright protection in commercial software development. This is related to...
Authorship attribution (AA) is a field of natural language processing that aims to attribute text to its author. Although the literature includes several studies on Arabic AA in general, applying AA to classical Arabic texts has not gained similar at...
This article quantitatively examines the patterns of collaborative research in the field of sustainable development of the mining sector. The study is based on bibliographic data of 4420 Scopus index research articles published in the period 1983&nda...
In recent years, the growing importance of platforms for producing, sharing, and consuming news has been evident. However, several challenges associated with this growth have emerged, such as those linked with disinformation and news authorship. In t...
Background/Objectives: Despite an increase in the number of women medical graduates, gender disparities persist in academic anaesthesiology. Women in medical science face challenges in publications, research funding, editorial board membership, and p...
This paper presents various machine learning methods with different text features that are explored and evaluated to determine the authorship of the texts in the example of the Azerbaijani language. We consider techniques like artificial neural netwo...
The discourses of literature and history are generally regarded as two distinct genres. This essay sets out to investigate the use of fictitious, that is, the invented, as well as real elements, in addition to narrative tools in some literary and his...
This study addresses the problem of authorship attribution with a novel method for modeling writing style using dependency tree subtree parsing. This method exploits the syntactic information of sentences using mixed syntactic n-grams (mixed sn-grams...
The article explores approaches to determining the author of a natural language text and the advantages and disadvantages of these approaches. The importance of the considered problem is due to the active digitalization of society and reassignment of...
The emergence of generative artificial intelligence has unsettled traditional legal conceptions of authorship and originality by challenging the foundational premise of copyright, namely, the requirement of human intervention as a precondition for pr...
Maintaining stable research productivity is critical for sustainable knowledge production, yet institutional mobility—an increasingly common form of organizational transition in higher education—may disrupt scientists’ output trajec...
This paper explores the effectiveness of parallel stylometric document embeddings in solving the authorship attribution task by testing a novel approach on literary texts in 7 different languages, totaling in 7051 unique 10,000-token chunks from 700...
The question of the authorship of the Daodejing, otherwise known as the Laozi, is a hotly contested debate, and one’s stance on the existence and role of the author can have potential implications for one’s interpretation of the text. Thi...
Recently, there have been significant advances and wide-scale use of generative AI in natural language generation. Models such as OpenAI’s GPT3 and Meta’s LLaMA are widely used in chatbots, to summarize documents, and to generate creative...
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