مطالب

Background: The nature of scholarly research has undergone a profound transformation in recent decades, transitioning from traditional, library-based inquiry to digitally mediated and increasingly AI-assisted methodologies. This article reflects on that evolution through an autoethnographic lens, drawing upon the author’s personal academic trajectory and long-standing engagement with satire. Aims: This article explores the evolving landscape of research, communication, and authorship in the digital age, with a particular focus on the transformative role of Artificial Intelligence. Methodology: The study employs a reflective, autoethnographic methodology combined with AI-assisted literature synthesis. Drawing on personal academic experiences and outputs from ChatGPT and Claude, the author critically examines artificial intelligence’s role in communication research and satire. This qualitative approach blends narrative inquiry with theoretical analysis to explore the epistemological and ethical implications of AI in scholarly authorship. Discussion: Reflecting on a shift from traditional library-based scholarship to AI-assisted inquiry, the author critically examines how tools like ChatGPT and Claude reshape academic and journalistic practices. The manuscript considers the integration of AI across domains such as human communication, media, sentiment analysis, and translation, while addressing ethical concerns including privacy, authorship, and misinformation. Through both anecdotal reflection and synthesized research, the text interrogates the promises and pitfalls of AI in content generation, especially in the context of satire—a long-standing interest of the author. Conclusion: Drawing on personal experience and historical theories of satire from figures like Northrop Frye, Juvenal, and Linda Hutcheon, the article positions AI not just as a technological tool but as a cultural force influencing narrative forms and critical thought. While acknowledging AI's generative capabilities, the author emphasizes the enduring need for human discernment, intellectual ownership, and critical interpretation in both academic and creative contexts.

Philologie in German (English philoloy; French philologie; Latin philologia ‘love of word’) is defined as the study of language in its historical context. It is considered a part of historical linguistics which traces the development and etymology of words in a language and across languages. John Peile defines philology as follows: It is the science which teaches us what language is. The philologist deals with the words which make up a language, not merely to learn their meaning, but to find out their history. He pulls them to pieces, just as a botanist dissects flowers, in order that he may discover the parts of which each word is composed and the relation of those parts to each other: then he takes another and yet another language and deals with each in the same way: then by comparing the results he ascertains what is common to these different languages and what is peculiar to one or more: lastly, he tries to find out what the causes are which operate on all these languages, in order that he may understand that unceasing change and development which we may call, figuratively, the life of language. (Peile1988, 5) In his book, Cours de linguistique générale, Ferdinand de Saussure offers a comprehensive definition of philology. Language is not the unique object of philology. The task of philology is above all to establish, interpret, and comment upon texts. This just concern leads philology to concern itself with literary history, customs, institutions, etc. . . . Everywhere it makes use of its own method, which is textual criticism. (qut. in Watkins 1990, 21)

IoT is a dynamic network of interconnected things that communicate and exchange data, where security is a significant issue. Previous studies have mainly focused on attack classifications and open issues rather than presenting a comprehensive overview on the existing threats and vulnerabilities. This knowledge helps analyzing the network in the early stages even before any attack takes place. In this paper, the researchers have proposed different security aspects and a novel Bayesian Security Aspects Dependency Graph for IoT (BSAGIoT) to illustrate their relations. The proposed BSAGIoT is a generic model applicable to any IoT network and contains aspects from five categories named data, access control, standard, network, and loss. This proposed Bayesian Security Aspect Graph (BSAG) presents an overview of the security aspects in any given IoT network. The purpose of BSAGIoT is to assist security experts in analyzing how a successful compromise and/or a failed breach could impact the overall security and privacy of the respective IoT network. In addition, root cause identification of security challenges, how they affect one another, their impact on IoT networks via topological sorting, and risk assessment could be achieved. Hence, to demonstrate the feasibility of the proposed method, experimental results with various scenarios has been presented, in which the security aspects have been quantified based on the network configurations. The results indicate the impact of the aspects on each other and how they could be utilized to mitigate and/or eliminate the security and privacy deficiencies in IoT networks.