درخت حوزه‌های تخصصی

Background: Misinformation has undergone significant transformations over the past few decades, evolving from relatively simple text-based fake news articles to highly sophisticate AI-driven content such as deepfakes and other forms of manipulated media.Aims: This paper traces the historical development of misinformation, its increasing reliance on Artificial Intelligence (AI), and the potential future trajectories of disinformation as AI technologies advance.Methodology: We begin by examining the shift from traditional text-based disinformation campaigns, often propagated via social media platforms, to more immersive and persuasive forms of AI-generated media.Discussions: We discuss how AI techniques, such as Generative Adversarial Networks and Natural Language Processing, have revolutionized the landscape of false information, allowing for the automation of misinformation production and its widespread dissemination at an unprecedented scale. Furthermore, this paper investigates the role of social media algorithms in amplifying disinformation, demonstrating how these platforms, originally designed to prioritize user engagement, inadvertently aid in the spread of false information by promoting sensationalized or emotionally charged content. Through an in-depth analysis of case studies, including the COVID-19 pandemic and the 2020 U.S. elections, this paper highlights the dangers posed by AI-generated misinformation, particularly deepfakes, which are becoming increasingly difficult to detect, even by advanced AI systems. The implications of this shift for democratic processes, public trust, and societal cohesion are profound. This paper also explores the ethical dilemmas posed by AI-driven misinformation and presents potential solutions through the lens of AI-enhanced detection technologies and policy interventions. Lastly, this paper emphasizes the urgent need for interdisciplinary cooperation between policymakers, technologists, and media organizations to mitigate the harmful impacts of AI-driven misinformation while preserving the integrity of information in the digital age.Conclusions: By exploring both technological and regulatory approaches, a comprehensive framework for understanding the evolving threat of AI-driven disinformation is essential and pathways for future research in this critical area is suggested.

Background: The emergence of amateur critics and vernacular reviewers as non-institutional cultural voices is one of the consequences of social media's development and widespread use.Aims: This study aims to better understand reviewers and their types by examining how they establish critical authority in comparison to institutional critics and their potential influence on cultural valuation.Methodology: This subject is explored through the rhetorical analysis of their linguistic strategies. The research draws theoretically on existing literature regarding cultural criticism and review in social media. Methodologically, it combines qualitative content analysis and rhetorical analysis, emphasizing identifying Aristotelian persuasive elements within the data, including ethos, pathos, and logos. The study sample consists of 350 Instagram posts gathered from 30 film review pages.Findings: The findings indicate that most reviewers adopt a consumer-oriented perspective, distancing themselves from institutional critics. They have also emphasized using Instagram's affordances, particularly its interactive and participatory features, to construct their cultural authority. Furthermore, they have employed rational and emotional appeals in alignment with presenting "summaries and supplementary movie information" and expressing "emotional appeal and affective experience of consumption". These strategies, along with the reviewers' focus on "addressing the audience's emotional needs", "personal growth and self-improvement", and "less dependence on institutional critics", reflect their disinterest in delving into deeper levels of critical evaluation and rhetorical directness in constructing their authority. In the final section of the article, the impact of reviewers on cultural valuation is further discussed, distinguishing three types: "film-style bloggers", "cinema influencers", and "critical reviewers".Conclusions: Based on the results, the first two types of reviewers demonstrate how Instagram’s platform-specific features primarily shape critical authority. While diverse reviewers enhance access to information, they often marginalize critical evaluation and cultural value in favor of consumerism and commercial competition. Only "Critical Reviewers" have successfully integrated critical evaluation with Instagram’s affordances through distinct rhetorical strategies, emphasizing the need to increase their numbers in the era of digital media.

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.