مطالب

The Israeli aggression against Iran in June 2025—targeting defense infrastructure, military personnel, civilians including scientists, children, and women, as well as hospitals, schools, and national media—was not merely a military confrontation but a turning point in the collective and psychological victimization of Iranian society. The ensuing fear, urban displacement, partial economic collapse, and existential anxiety fractured Iran’s cultural and moral fabric, creating conditions for new forms of post-war violence. This study examines how collective victimization reproduces violence and breaks norms in the post-war context both at cultural and psychological levels, and explores the relationship between symbolic violence in media, political discourse, and everyday life (routine activity criminology). The central premise posits that aggression —and the enduring fear of its recurrence—erodes social cohesion, normalizes aggression, and embeds violent cultural patterns into civic life, generating a cyclical process of victimization and offending, wherein society itself perpetuates violence. From a cultural criminological perspective, this cycle reflects a normalization of deviance and a redefinition of social power through violence. Breaking it requires a shift in Iran’s criminal policy from a security-based to a cultural and restorative approach at legislative, judicial, and executive levels—prioritizing the symbolic reconstruction of trust, hope, and meaning alongside structural post-war recovery. The central hypothesis posits that aggression —and the enduring fear of its recurrence—erodes social cohesion, normalizes aggression, and embeds violent cultural patterns into civic life, generating a cyclical process of victimization and offending wherein society itself perpetuates violence. From a cultural criminological perspective, this cycle reflects a normalization of deviance and a redefinition of social power through violence. Breaking it requires a shift in Iran’s criminal policy from a security-based to a cultural and restorative approach at legislative, judicial, and executive levels—prioritizing the symbolic reconstruction of trust, hope, and

Background: Since the advent of modern policing, technological innovations in communication and information management have significantly shaped investigative practices and crime detection strategies. Aims: The current research study explores the transformative role of Artificial Intelligence in modern crime detection and prevention across diverse domains including cybercrime, environmental crime, financial fraud, and urban surveillance. Methodology: Employing a qualitative meta-synthesis methodology, the research critically examines peer-reviewed literature published between the years 2015 and 2025 to identify emerging trends, technological innovations, and socio-legal implications associated with AI-driven policing. Findings: The key findings highlight the integration of machine learning, computer vision, and natural language processing techniques into the predictive and real-time law enforcement systems. These technologies have demonstrably enhanced the accuracy, efficiency, and responsiveness of crime prevention strategies. However, the current study also reveals significant challenges, including algorithmic bias, lack of transparency, and inadequate regulatory oversight, particularly in socially stratified or underregulated contexts. Conclusion: The current article underscores the necessity of embedding explainability, accountability, and human oversight into Artificial Intelligence systems to ensure the ethical and equitable implementation of AI-driven policing systems.

Background: This study explores the paradoxical role of artificial intelligence as both a tool of exploitation within surveillance capitalism and a force for resilience in disaster risk management, highlighting the ethical and governance challenges that arise at the intersection of these domains. Aims: This article aims to enable the ethical use of AI in DRM while insulating public systems from the structural harms of commercial data exploitation. Methodology: Drawing from a comparative qualitative analysis of 35 academic sources, the study investigates how BigTech corporations and data brokers leverage AI to commodify personal data, consolidate informational power, and erode democratic agency. Results: The present study critically examines the dual role of artificial intelligence in contemporary digital society, contrasting its exploitative deployment within surveillance capitalism with its constructive use in disaster risk management (DRM). Simultaneously, it highlights a parallel body of research showcasing AI’s capacity to enhance early warning systems, situational awareness, and post-disaster recovery, especially in resource-constrained and climate-vulnerable regions. Conclusion: To reconcile these conflicting trajectories, the article proposes the Public AI for Resilience (PAIR) framework—a governance model grounded in data sovereignty, public infrastructure, algorithmic explainability, and cross-sectoral collaboration. Ultimately, the article argues for a normative recalibration of AI governance that prioritizes equity, transparency, and collective resilience over market imperatives, demonstrating that AI’s public good potential can be realized without surrendering to surveillance-based capitalism.

The aim of this paper is to examine both the potential and limitations of Hegelianism in contemporary epistemology. To achieve this, the paper first explores Robert Brandom's interpretation of Phenomenology of Spirit in his 2019 work, Spirit of Trust. In this context, Hegel is positioned as a precursor to the holistic, historical, and social dimensions of belief, as well as a critic of the empiricist intuitions prevalent in modernity, aligning with the framework of American inferentialism. This section demonstrates that it is possible to discuss the constitution of concepts without invoking sensations or immediate knowledge. The paper then turns to the reception of Brandom’s proposal by scholars such as Richard Rorty and Slavoj Žižek, who concurs that Brandom falls short in maintaining a radical stance toward empiricism, and highlight the ethical and political challenges inherent in Brandom’s neo-Hegelian inferentialism. In this section, it becomes evident that Brandom’s concept of the Hegelian absolute and his notion of remembrance cannot be reconciled with a conception of reality as negative and contingent, a view that assumes progressiveness—something Žižek, in contrast, succeeds in recognizing within Hegel's philosophy.

This paper examines the political philosophy of Artificial Intelligence (AI) through three distinct approaches: optimistic positivist scientism, critical middle ground, and phenomenological pessimism. The central issue addressed is the ethical and political implications of AI, specifically how it influences governance, social structures, and human autonomy. The research questions explore how AI can be understood in terms of its potential and risks, how different political philosophies interpret its role, and what governance models can mitigate its negative consequences. The methodology adopted is a comparative analysis of key thinkers and their contributions to the debate on AI. The framework includes positivist, critical theory, and phenomenological perspectives, with a focus on how these paradigms inform the understanding of technology and its societal impact. Key theorists discussed include Francis Bacon, Karl Marx, Yuval Harari, Jürgen Habermas, Martin Heidegger, and Hannah Arendt, each offering a unique viewpoint on the nature of AI and its implications for governance and human existence. The findings highlight three divergent views: the optimistic positivist approach sees AI as a tool for progress, advocating for technological innovation and global governance; the critical middle ground emphasizes ethical oversight and regulation to prevent social inequality; and the phenomenological pessimism warns of AI’s potential to undermine human freedom and autonomy, leading to a dystopian, technocratic society. The study concludes that while AI offers significant potential for improving human life, it also raises profound challenges that require careful regulation, ethical consideration, and a commitment to preserving democratic freedoms.

This paper shows how Hegel’s misconception of truth and knowledge misled his ideas of Absolute spirit, dialectically reinforced dogmatism and irrational historicism toward his disastrous conclusion of a “totalitarian playbook”. Analysis by Hegel scholars is presented and contrasted with Popper’s Critical Rationalism-based critiques. Hegel held a version of Correspondence for everyday truth plus a deeper “philosophical” truth, similar to essence, which could be unified with consciousness. This is compared to Popper’s anti-essentialism. Hegel’s dialectical theory is contrasted to Popper’s falsificationism. Popper showed that dialectical method produced historical relativism. Hegel’s Philosophy of Identity, yielding the dialectical Idealism of “what is reasonable must be real”, led to “might is right” with emergence of nations by fighting for domination on the stage of history. Popper credited Hegel with formulating the “playbook of totalitarianism”, used lethally by followers of Hegelian Left and Right. Inversion Theory claims the word “true”, implying completeness, certainty, and self-consistency, is applicable only to the objective world. Perception of it, acquired by an evolved biological process (Active Subjectivism), incorporates essential falsehood, yielding “best knowledge” of reality. It solves problems related to the regulatory, statistical, evidentiary, inconstant and even indexical nature of knowledge. Only the Inversion theory exposes the errors of dialecticism: since it involves subjective concepts, it is impossible for a true synthesis plus its negative antithesis to give a true synthesis. The historical process of the Zeitgeist contains falsehood, the cunning of reason to move the spirit forward is uncertain, and nobody can perform the truth for their time.

Social media has become a vital communication channel in various industries, including tourism and hospitality. This study aims to investigate the impact of social media—specifically user-generated content—on the occupancy rates of 5-star hotels in Mashhad, Iran. The research follows a three-stage methodology. First, customer reviews from Instagram fan pages of selected hotels were collected using the Graph API Explorer and analyzed through sentiment analysis to classify them into positive, negative, or neutral categories. Second, hotel occupancy was estimated using the number of weekly check-ins on Instagram as a proxy due to restricted access to official occupancy data. Finally, regression analysis was applied to examine the relationship between the percentage of positive reviews and the number of check-ins. The results reveal a strong positive correlation between favorable customer comments and hotel check-ins for most of the studied hotels, suggesting that social media plays a critical role in influencing consumer decision-making and hotel occupancy. The findings emphasize the strategic importance of leveraging social media platforms for effective marketing and customer engagement in the hospitality industry.

In this study, in which a new business model was constructed to examine the reflections of digitalization on the field of authentication due to the increasing importance of digitalization day by day. This paper aims to design a business model for digital transformation using Near-Field Communication (NFC) technology to develop foreign markets for original products by creating a product authentication database. Given the global use of NFC technology for authenticity checks and market development, this research is pioneering in proposing a business model for applying this approach to authenticate original products in Iran. Beyond product authentication, this approach can facilitate extensive market research, particularly in international markets, where many handicraft and clothing products are highly successful but often overlooked by industry owners. Following a description of Osterwalder’s business model, a business model canvas is developed, and service and sales revenue models are presented. The service revenue model includes two business strategies: "service provision per tap" and "annual subscription strategies (Bronze, Silver, and Gold)".

Drawing on Manichaean Middle Iranian texts and adopting a textual approach, the present article tries to define the meaning and usage of some technical terms (termini tecnichi) in Manichaean theology, especially the words “angel” (frystg, fryštg) and “apostle, messenger” (frystg, fryštg). The use of a word for two meanings and/ or two concepts in the Manichaica was a result of the redefinition that each of the different Manichaean communities presented for the concepts of ‘angel’ and ‘apostle, messenger’. The article shows that the Iranian term frys/štg has been redefined and expanded in meaning in Manichaean literature under the influence of Syriac writings; a redefinition that could generate an angel from an apostle / a messenger and a king from the angel. Here, we also examined the technical terms xwdʾy/ xwdʾwn ‘lord’, by / bg ‘god’, yzd ‘god’ and bgpwhr / βγpšy / βγpšʾk ‘son of God’ (βγpwryšt / βγpšyt ‘the sons of God’) βγpwr(ʾ)yc ‘daughter of God’ showing the contexts in which these terms appear and what examples they refer to. Our study shows that some of them were used not only for angels and historical figures (like Mani and Manichaean leaders and electi, as well as previous apostles), but also included at least one of Manichaean gods, i.e. ‘Third Messenger’.

The topic of Iranian identity is one that many are willing to recognize, while only a minority choose to reject it. The author of the book in question belongs to the latter group. The title suggests that the author intends to challenge both Iran and the historical foundations of Iranian and national identity. Influenced by contemporary theoretical discussions that overlook the historical and cultural contexts of the nations being examined, he tends to regard Iran and its national identity as constructs devised by Orientalists. He does not acknowledge the historical importance and development of the term "Iran" itself. The author of the book Iran as Imagined Nation: The Construction of National Identity, who draws inspiration from Edward Said's Orientalism and Benedict Anderson's Imagined Communities, contends that both Iranian and non-Iranian authors view Iranian and national identity as a historical phenomenon. These authors, influenced by racial and ideological perspectives and western methodologies, have narrated history in a way that is both ahistorical and misleading, replacing genuine historical events with fabricated stories. This article does not critique every chapter of the book Iran as Imagined Nation: The Construction of National Identity. Instead, it will concentrate on chapters that present weak or incorrect claims regarding Iran's historical roots, its attributes, and its ethnic and linguistic diversity, with the aim of clarifying and illuminating these issues.

ranslated literature almost always involves a degree of manipulation of the source text for a certain purpose. Such manipulations are imposed by the ‘patrons’ who try to regulate the relationship between the literary system and the other systems a society is composed of. Working on this fundamental broadly-acknowledged assumption about translation, the present study aimed at identifying the concepts that are often manipulated in translated literature published in contemporary Iran. It also attempted to spot the manipulative strategies imposed on translations and the counter-manipulative strategies adopted by translators to sidestep those manipulations. Drawing on the findings of the so-called ‘Manipulation School’ and Dukāte’s typology of manipulation strategies, it conducted a comparative analysis of the source texts and translated versions of four American novels recently published in Iran. The codification of the data revealed the frowned upon taboo concepts to be descriptions of, or references to, sexual activity, physical contact between the sexes, human body, extramarital relationships, swear words, prostitution, nudity, homoeroticism, alcoholic drinks, and dancing. The most frequent manipulation strategies were 1) deletion of the taboo concepts, 2) substitution of the concepts with totally different concepts, and 3) attenuation of the forbidden words, that is to say, expressing them in a more polite, softer language. Although the manipulation mechanism is most effectively in place, the translators seemed to have occasionally applied creative strategies to evade the imposed manipulations. Such counter-manipulative strategies were classified as legitimization, archaism, use of less familiar words, degenderalization, denunciation, and borrowing in this study.

Cet article examine le rôle de l’intelligence artificielle (IA) dans l’amélioration de la compétence orale chez les apprenants de français langue étrangère (FLE) en Iran. Il s’interroge sur la manière dont l’IA peut contribuer, de manière efficace et contextualisée, au développement de cette compétence dans un environnement culturellement spécifique. L’étude repose sur une enquête menée auprès de 20 apprenants de FLE en Iran. La collecte de données s’est effectuée à travers un questionnaire ciblant leurs compétences orales, leur expérience d’usage de l’IA et leur perception de l’adéquation culturelle des contenus générés. L’analyse des données mobilise une approche mixte (quantitative via SPSS et qualitative) et un cadre théorique pluridisciplinaire. Ce cadre s’appuie sur la théorie de la compétence communicative de Dell Hymes, la théorie de l’adaptation culturelle de Kim et Hall, les approches discursives-pragmatiques de John Searle et surtout sur la théorie du carré tensif de Fontanille. Les résultats indiquent que l’IA permet d’améliorer la prononciation et la fluidité, encourage l’usage des expressions idiomatiques françaises et développe la souplesse linguistique. Par la création d’environnements vérisimilitudinaires (contextes d’interaction réalistes et culturellement cohérents) et des retours personnalisés en temps réel, l’IA favorise un apprentissage actif et individualisé. Toutefois, certaines limites subsistent : la difficulté à reproduire les dimensions émotionnelles, gestuelles et implicites des interactions humaines, ainsi qu’à intégrer la diversité dialectale régionale.