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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.

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: 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 2024 Iranian presidential election intensified political polarization on Persian Twitter (X), where ideological factions engaged in networked contestation. This study employs social network analysis to examine polarization mechanics, mapping key actors, echo chambers, and discursive strategies. Findings illuminate digital factionalism, algorithmic amplification, and the role of influencers in political mobilization.Aims: This study explores the mechanisms driving political polarization on Persian Twitter (X) during the 2024 Iranian presidential election.Methodology: Utilizing computational social science methodologies, the research combines social network analysis (SNA) and thematic analysis to examine over 133,000 active users and numerous election-related hashtags. Data collection spanned June 1–16, 2024, leveraging Twitter's API to identify clusters, user interactions, and thematic trends. Key tools included the Louvain algorithm for community detection and centrality measures for network analysis, visualized through Gephi software.Findings: Findings reveal a fragmented political landscape characterized by ideological divides, echo chambers, and limited interaction between opposing factions. Analysis identified six major clusters, each aligned with distinct political affiliations, including reformists, conservatives, and opposition groups. Thematic analysis further highlighted the rhetoric surrounding leading candidates Masoud Pezeshkian and Saeed Jalili, revealing polarized sentiments and distinct narratives among their supporters and detractors. The study also underscores the role of platform algorithms, influencer strategies, and group identities in deepening polarization.Conclusions: This research contributes to the understanding of digital polarization within Iran's socio-political context. It emphasizes the dual role of social media as both a space for public discourse and a driver of ideological segregation. Recommendations include strategies for promoting digital literacy, fostering inclusive discussions, and enhancing algorithmic transparency to mitigate polarization in Iran.

Aurhor: Neil ArcherTitle: The Social Network: Youth Film 2.0Year of Published: 2023130ppIn EnglishISBN: 978-0367753115Dimensions: 13.8 x 0.76 x 21.6 cmCountry of Origin: IndiaPacker: RoutledgeCinema and Youth Cultures series