درخت حوزه‌های تخصصی

Background: In the digital age, the expansion of social media platforms has profoundly impacted various aspects of life, including family relationships.Aim: This article addresses the complex dynamics of family communication, particularly focusing on Iranian families. In this article, we study the perceptions of users and followers of family blogger pages regarding the representations of family life on Instagram.Methodology: Through interviews with users, we seek to understand their understanding of concepts such as love, intimacy, home, and marital relationships. To study how followers perceive and interpret family-oriented pages on Persian Instagram, approximately 29 qualitative interviews were conducted with three groups of respondents. These groups included users, informants, and family psychologists and counselors (couple therapists).Findings: The concept of family display helps us understand what practices are defined as "family practices" from the perspective of users and followers of family pages on Instagram. On the other hand, Hall’s theoretical model helps us understand the category of readings that users’ interpretations and perceptions of the family representation on these pages fall into. The findings reveal the evolving nature of family relationships in the digital age, particularly concerning Iranian families. The findings show that the readings of users following these pages are generally hegemonic and can be divided into three main axes: family rituals, marital relationship, and feminine power, each of which has its own sub-themes. In addition, some interviewees mentioned contrasting and negotiating perceptions.Conclusions: The results indicate that readings are complex processes shaped by the cultural contexts and lived experiences of the readers, leading to a combination of interpretations rather than a wholesale acceptance or rejection of media representations. Additionally, followers with preferred readings expressed dual emotions ranging from idealization and beautiful aspirations to feelings of alienation and dissatisfaction with their relationships.

Background: Media content plays a significant role in shaping behaviors, attitudes, and lifestyle choices, especially among children, a demographic that is highly impressionable and actively engaged with various media platforms.Aims: This article explores the role of media literacy in equipping children to critically evaluate media content that promotes unhealthy lifestyles, including poor dietary choices, sedentary behavior, celebrity worship and unrealistic body ideals.Methodology: This study employs a qualitative approach, synthesizing data from case studies, government reports, and peer-reviewed academic literature to explore the role of media literacy in fostering healthy lifestyle choices among children.Findings: The findings indicate that current media literacy education programs for children are insufficient, largely because they often fail to include parental education. Parents play a pivotal role as mediators of children’s media consumption, and their active participation in media literacy education strengthens the impact of such interventions. The article argues for an integrated media literacy curriculum targeting both children and parents to create a more comprehensive understanding of healthy lifestyle practices and critical media engagement. Recommendations for policy, educational frameworks, and family-centered interventions are proposed to address these gaps.Conclusions: We emphasize the importance of a holistic approach to media literacy that includes all involved people and bodies in promoting healthier lifestyle choices among children.

Background: Joint Comprehensive Plan of Action (JCPOA) signed in 2015, limited Iran’s nuclear program in exchange for sanctions relief. The U.S. withdrew in 2018, but talks continue to revive the deal.Aim: This meta-analysis examines how academic research from 2017 to 2024 has analyzed the JCPOA through the lens of critical discourse studies, revealing the interplay of language, power, and identity in constructing meaning around the agreement.Methodology: This meta-analysis synthesizes 27 peer-reviewed studies (2017–2024) to examine the discursive construction of JCPOA through critical discourse analysis (CDA) frameworks.Discussion: The study reveals how competing narratives shaped the agreement’s trajectory, focusing on three key dimensions: (1) transatlantic policy divergences, where EU multilateralist discourses clashed with U.S. unilateralist "America First" rhetoric under Trump, exacerbating diplomatic rifts; (2) domestic Iranian narrative battles, where reformist and conservative factions framed the JCPOA as either pragmatic diplomacy or ideological betrayal, leveraging media and social media to delegitimize opponents; and (3) diplomatic communication strategies, where translational asymmetries and linguistic negotiation underscored the politicized nature of interstate dialogue.Conclusions: The study demonstrates how discourse not only reflected but actively produced geopolitical realities, generating new identities (e.g., Iran as "resistant"), policies (e.g., maximum pressure), and material outcomes (e.g., renewed uranium enrichment).

Background: The integration of artificial intelligence into psychodynamic therapy presents a transformative opportunity to enhance mental health interventions.Aims: By consolidating evidence from diverse studies, this research underscores the theoretical and practical implications of psychodynamic AI systems and their potential to reshape therapeutic practices.Methodology: This study employs a meta-analytic approach to synthesize findings from existing research, focusing on the application of psychodynamic principles—such as unconscious processes, relational dynamics, and symbolic meaning—in AI-driven systems. Despite the dominance of cognitive-behavioral frameworks in AI therapeutic tools, psychodynamic approaches offer unique potential for fostering deeper emotional engagement and interpersonal understanding.Results: The analysis highlights advancements in AI-based systems designed to emulate psychodynamic processes and explores challenges, including technical limitations and ethical concerns. The findings emphasize the need for future research to refine AI's capacity to address complex psychodynamic phenomena while adhering to ethical standards, ensuring accessibility, and enhancing emotional intelligence.Conclusions: Ultimately, this work advocates for a balanced integration of psychodynamic principles with AI technologies to achieve scalable and effective mental health solutions.

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

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 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.

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 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.

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.