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: Over the past few decades, the rapid expansion of cross-border e-commerce has reshaped global trade, acting as a key driver of economic transformation. As a crucial aspect of globalization, e-commerce has facilitated the integration of businesses into international markets, reducing geographical barriers and transaction costs while fostering economic development.Aims: The present study aims to examine e-commerce and its role in economic transformation from a business management perspective.Methodology: The research employs a descriptive survey method, with a statistical population comprising all students and graduates in the fields of e-commerce and business management in Bandar Abbas. Using a convenience sampling method, a total of 203 individuals were selected as the study sample. A researcher-developed questionnaire with a reliability coefficient exceeding 0.8 was distributed among the participants. Data analysis was conducted using descriptive and inferential statistical methods, specifically the T-test, through SPSS version 22.Findings: The findings revealed that the T-test statistic for the role of e-commerce in accelerating economic transactions was 73.7, its impact on inflation in the global economy was 54.9, and its contribution to facilitating transactions was 65.5, all statistically significant at a 95% confidence level (P<0.05).Conclusions: E-commerce plays a significant role in enhancing the speed of economic transactions, influencing inflation in the global economy, and facilitating trade from a business management perspective.