Journal of Al-Farahidis Arts

Rapid scientific development has contributed to the rapid delivery of information through various electronic programs, which have become indispensable today. However, there remains the problem of identifying these programs and diagnosing their negatives and positives in order to choose the best among them. It is also important to know the appropriate reason behind the use, the mechanism of the program’s operation, and the extent to which its results can be relied upon. Based on this, we have examined the phenomenon of accepting information straightaway, and we have look at the necessity of not trusting any of it fully before verifying its accuracy and source, especially with regard to the Qur’anic text written electronically without referring to the original text in the Holy Qur’an, as it is known that every change in a letter or word is followed by a change in the meaning or legal ruling, which may affect the security of society Therefore, before we started directing linguistic questions to the artificial intelligence, we decided to ensure the seriousness, correctness, and accuracy of the answer. We asked it about the probability of it making a mistake, what topics it could be in, and how we can avoid or treat it

Rhetoric is a branch of language concerned with highlighting the aesthetics of expression and the effectiveness of discourse, whether poetry or prose. It is a science based on complex mental skills such as understanding context, employing metaphor, and the ability to psychologically and emotionally influence the recipient. With the development of natural language processing (NLP) and deep learning techniques, artificial intelligence (AI) applications have emerged capable of generating rhetorical texts, analyzing discourse patterns, and even performing texts in a human-like manner in terms of tone, rhythm, and intonation. Research faces a problem that is perhaps new and not ancient: How can such traditional Arabic sciences as Arabic rhetoric be compatible with the mechanisms of artificial intelligence, which today overlap with all theoretical and applied sciences? When can we preserve the essence of the fundamentals of Arabic rhetoric while leveraging AI strategies in light of these modern developments? And how can AI contribute to the study and analysis of rhetoric? Can he simulate or analyze traditional rhetorical arts?

In recent years, literary studies have witnessed a remarkable shift towards employing digital technologies, particularly artificial intelligence tools, in analyzing literary texts and exploring their linguistic and semantic structures. This trend has provided researchers with new possibilities for understanding texts in quantitative and qualitative ways that transcend traditional methods based solely on critical reading.
The current research aims to introduce professors and students of Arabic to artificial intelligence tools that contribute to the analysis of literary texts, focusing on exploring their mechanisms for studying style, meaning, structure, and emotion. It also seeks to highlight the most prominent challenges facing researchers in the field of Arabic literature when employing these technological tools.
In this context, the use of tools such as Voyant Tool stands out as an effective means of analyzing Arabic poetry, given its capabilities in tracking repetition, exploring vocabulary, and analyzing style and emotion. This research highlights the importance of these tools in serving Arabic literature through an applied study of the poem \"I Now Have a Rifle\" by the poet Nizar Qabbani, as a model rich in national and emotional themes, and an example of the interaction between poetic text and modern technologies

Phonology is one of the most important branches of Arabic linguistics. It was distinguished by early efforts by Al-Khalil, Sibawayh, and Ibn Jinni. However, it has remained in need of renewed readings that connect classical heritage with modern linguistic approaches. In this context, the contributions of Dr. Muhammad Hussein Al-Yassin emerged, as he reconsidered several phonetic issues following a methodology characterized by clarity, analytical organization, and a balance between authenticity and modernity. This article addresses two main axes of his phonetic views: phonetic magnetism, root overlap, and the meeting of two consonants. In the first axis, Al-Yassin offered a new interpretation of digraphs and opposites based on the polarity and characteristics of sounds, arguing that some letters possess a semantic force that attracts or contrasts specific meanings. In the second axis, he treated the phenomenon of consecutive consonants not merely as a grammatical restriction but as a remnant of an older phonetic stage in Arabic, a view that aligns with modern phonology, which affirms the tendency of languages to avoid successive consonants The article concludes that Al-Yassin’s phonetic contributions represent a qualitative enrichment of Arabic phonetic studies, as they integrate classical explanations with modern analyses and transform phonetic issues from descriptive lists into historically

Arabic is the most noble of languages, and I know it as one of the best things, and for this reason God chose the Arabs over the worlds and preferred them over all other languages. He sent the best of His prophets with the most eloquent language to the most eloquent people, and He revealed His Mighty Book to that language, and God Almighty and Most High bestowed His blessings on His servants in that He initiated the hearts of the people of Islam to the Sunnah of the Prophet, so they were led to follow it and were comfortable hearing it, and their concern became directed to learning it and the will was entrusted with contemplating teaching it.
This study was concerned with the aesthetics of the Prophet’s hadith in terms of lexical structures and descriptive connotations. It is a long hadith about 11 women, each of whom speaks about her husband. What qualities did the Prophet, may God bless him and grant him peace, mean when he said, “I am to you like my father Zur’a and my mother Zr’”? Why did Abu Zar’a or Zar’a divorce? - What are the good qualities of the husband that the hadith refers to? - Is it understood from the hadith that Abu Zar’ was a good husband?.

This research is based on an idea that seeks to combine the old and the modern, the old through the creative arts that were drawn in human history and here they reach us with a complete structure and clear features. The classical Arabic poem has paved its way all these years to be at the forefront of the creative arts. In light of this long history of this type of literature to express human feelings and to be a full record of events, technological development appeared, which represented a real challenge to several arts. Among them is Arabic poetry, which our research aims to apply through the pages a set of rules that were approved by the ancients to provide us with a clear vision of poetry and its nature, and through these rules that can be applied within the artificial intelligence system and see the extent to which these standards match the standards that were established by the ancients. Can we consider it classical poetry, or a distorted electronic version? This is what this research will attempt to answer by examining the standards of the classical poetry column and the structure of the classical poem within artificial intelligence applications.

The contemporary world is undergoing an unprecedented digital revolution that has made Artificial Intelligence (AI) a dominant force in various domains, including language and culture. Arabic, with its rich morphological, syntactic, and semantic features, stands as one of the languages most challenged by these transformations. This research aims to examine the impact of AI on Arabic linguistic identity from two interrelated dimensions: the technical challenges of Natural Language Processing (NLP) for Arabic, and the cultural shifts resulting from the widespread adoption of digital platforms and intelligent algorithms. The study explores essential issues such as the ability of AI technologies to adequately represent the deep structures and specificities of the Arabic language, and how these technologies affect education, communication, and the preservation of heritage. It highlights AI’s dual role: a potential threat to linguistic identity if misused, yet also a powerful opportunity to enhance Arabic through developing educational and critical tools. The research concludes that the future of Arabic in the digital age depends on adopting a comprehensive strategy that integrates modern technologies with cultural awareness, ensuring a balanced approach between authenticity and innovation, as well as between preserving identity and embracing global transformations

The risks of artificial intelligence and its impact on shaping collective consciousness "A Study in Light of Cultural Criticism"

This research attempts to shed light on the process of producing meaning according to the contexts of communication by interpreting texts based on the relationship between word and meaning. Meaning is the concept or mental content carried by the word, and through the relationship between them, meaning can be produced. Semantics is the relationship between the word and its meaning, i.e., what the word signifies within a specific context. Hence, "meaning production" focuses on creating or generating mental content. "Semantic production" refers to the generation of a semantic relationship between a word and its meaning within a given context. Text and discourse do not directly produce meaning; rather, they produce "semantic"—that is, they produce linguistic signals and relationships that lead to multiple understandings and different interpretations. Meaning is not ready-made but is constructed through semantic content. This idea is applied in a series of conversations with artificial intelligence programs to determine the suitability of these programs for producing semantic content

This research examines the relationship between punctuation and artificial intelligence in the context of interpreting Arabic texts, through a computational analytical study aimed at highlighting the importance of punctuation as semantic media that directly influence understanding context and meaning. The research reviews AI techniques, particularly Natural Language Processing (NLP) models, in dealing with punctuation in written texts, highlighting the challenges facing algorithms in recognizing the contextual differences created by commas, periods, and punctuation structures. The research also seeks to provide an integrative vision between computational linguistics and traditional Arabic grammar, to arrive at results that contribute to improving the ability of AI systems to understand Arabic texts more accurately and deeply.

This study investigates the pivotal role of computational linguistics in developing artificial intelligence technologies, with a specific focus on the Arabic language, which faces unique challenges due to its complex morphological and grammatical nature. Employing an analytical-descriptive methodology, the research highlights the theoretical framework of both fields and analyzes the obstacles to the computational processing of Arabic, most notably: derivational and morphological characteristics, homonymy, and the severe shortage of annotated linguistic corpora. The study also reviews practical approaches to addressing these challenges, such as building computational morphological analyzers and annotated corpora, which are fundamental for training deep learning models. It concludes by presenting applied models, including machine translation, chatbots, and large language models, emphasizing that the integration of prior linguistic knowledge remains a critical factor in enhancing AI's ability to understand and generate Arabic accurately and fluently. The study ends with a set of recommendations, the most important of which is the necessity of investing in building linguistic resources and developing native

The Qur’anic narrative style represents one of the most eloquent manifestations of the Qur’an’s miraculous nature. It integrates rhetorical eloquence, moral guidance, and spiritual education. Surah Maryam provides a unique example of this narrative construction, weaving together the stories of several prophets—such as Zakariya, Yahya, Maryam, ‘Isa, Ibrahim, and Musa—into a coherent narrative framework that fulfills the purpose of divine guidance.
This research analyzes the narrative structure in Surah Maryam through a literary-analytical lens, exploring methods of presentation, temporal sequence, semantic transition, and the use of dialogue and description in Qur’anic narration.
The study concludes that the surah presents a unified narrative structure in which temporal scenes intertwine and narrative voices harmonize, reflecting the Qur’anic objectives of mercy, faith, and resurrection. It also highlights the aesthetic balance between event and meaning, as well as between artistic imagery and doctrinal depth.
Keywords: Narrative Structure – Surah Maryam – Qur’anic Stories – Literary Analysis – Aesthetic Expression

The world today is witnessing a growing expansion in the use of artificial intelligence (AI) technologies across various fields, including the preservation and analysis of cultural heritage and historical manuscripts. Among these, Morisco manuscripts stand out as a unique case characterized by linguistic complexity and cultural and script-based encryption, making them a significant challenge for contemporary AI systems. This study aims to explore the technical and epistemological limits of applying AI to the analysis of such manuscripts. Adopting a descriptive-analytical methodology, the research examines the structure of Morisco manuscripts and reviews the most commonly used AI tools—such as Optical Character Recognition (OCR), Natural Language Processing (NLP), and deep learning—while analyzing the difficulties these tools face in dealing with hybrid and encrypted texts. The study concludes that despite AI's advanced capabilities, it still requires integration with human expertise through the development of hybrid models that combine machine analysis with cultural context, alongside the construction of specialized databases that enhance AI’s ability to interpret Morisco manuscripts accurately.

The last decade has witnessed an unprecedented technological revolution, characterized by the rapid development of artificial intelligence (AI) technologies and their diverse applications. While AI promises vast opportunities for advancement across various fields, it also presents significant challenges, particularly in the media sector. The production and dissemination of digital content has become faster and easier than ever before, opening the door to the phenomenon of "media manipulation." This phenomenon is one of the most prominent challenges facing the credibility of news content, especially in politically and security-wise fragile environments like Iraq. AI tools are now capable of producing highly sophisticated images, videos, fake news, misleading content, and deepfakes. What previously required considerable effort and resources to create can now be manufactured in massive quantities and with high quality, making it difficult for the average recipient to distinguish between fact and fiction. This development poses an unprecedented challenge to media institutions, regulatory bodies, and individuals alike

This research aims to explore the role of Artificial Intelligence (AI) in developing media work within the Media Directorate of the Popular Mobilization Authority.
The study was conducted through a field observation of a purposive sample of 30 media professionals, including editors, publishers, program producers, and documentary filmmakers. The sample was selected from the morning shift, excluding wounded personnel and those assigned to external duties, from a total research population of 155 employees working with AI in the directorate. The researcher adopted a descriptive methodology using the direct observation technique, with a specially designed observation checklist that included three core dimensions: technical use of AI, efficiency of implementation, and AI’s impact on media content.
The results were analyzed using percentages, frequency distributions, and the Chi-square (χ²) statistical formula. The findings showed that AI utilization in media work is still limited and has not reached the desired level of effectiveness. Additionally, the results indicated no statistically significant differences between expected and actual levels of AI integration.
This highlights the need for specialized training programs and modernization of media tools to keep pace with AI advancements Within the training division or section within the directorate and the Popular Mobilization Authority within the General Training Directorate..

The study aims to explore the attitudes of communicators toward the use of artificial intelligence (AI) technologies in media institutions, as well as to examine the concept of AI and its applications in media work. It also seeks to identify the major obstacles that hinder the adoption of this modern technology in the fields of media and mass communication The importance of the study stems from the fact that AI-driven journalism has introduced a qualitative shift in the media sector. These technologies have contributed to modernizing traditional media practices in areas such as content preparation, filming, production, and the delivery of media messages to audiences. Moreover, AI has emerged in recent years as a rapidly developing concept and has become an essential necessity that plays a significant role across various disciplines. This research falls within the scope of descriptive studies that aim to scientifically and objectively interpret phenomena. The survey method was used, relying on a questionnaire as the data collection tool, in order to answer the study’s questions and reach scientifically explanatory result

Social media platforms rely on “recommendation algorithms” embedded within artificial intelligence tools to organize and direct content toward users, even shaping audience priorities in continuing to follow specific types of media production—whether news, entertainment, or otherwise. As a result, these algorithms contribute to reshaping the media preferences of target groups, especially youth, given their numerical dominance and active engagement.
This study aims to analyze the impact of these algorithms on patterns of media content preference among young people, in terms of content type (political, entertainment, sexual, economic, religious, etc.), their level of engagement with it, and their awareness of how these systems operate—systems that represent the most visible and prominent aspects of algorithmic influence.
The study employs a descriptive methodology and is conducted using a questionnaire as the data collection tool. The fieldwork involves a sample of 100 active young users of social media.,
The study seeks to reveal the extent to which recommendation algorithms influence media desires and contribute to the formation of narrow spheres of interest, potentially reinforcing the reproduction of informational bubbles This is what was clearly evident from the results

In the era of the Artificial Intelligence revolution and amidst the competition to exploit its applications in various fields, the media sector seeks to benefit as much as possible from this technology, especially the media of official institutions, as it represents the main interface of these institutions and the mirror that reflects their image before the public. If the image is positive, the institution’s reputation prospers; if the image is negative, the institution’s reputation deteriorates.
This study sheds light on the reality of using Artificial Intelligence applications by employees of the Media and Government Communication Divisions in the colleges of Tikrit University, and highlights the extent to which such applications contribute to improving the quality of media work within the academic environment. The researcher adopted the survey method through a comprehensive enumeration approach, by distributing a questionnaire to one hundred (100) media employees working across 23 divisions — which is the number of colleges at Tikrit University — in order to determine their level of use of Artificial Intelligence applications such as media language processing tools, machine translation, digital content creation, data analysis, image editing and processing tools, among others

The Iraqi media sector has undergone rapid transformations driven by the digital revolution, with ChatGPT emerging as an effective tool for improving and accelerating journalistic content production. This study aims to assess the extent to which Iraqi media institutions rely on ChatGPT in news and article production and to explore its impact on journalists’ creativity and critical thinking. Using the descriptive-analytical method, the findings revealed that 80.3% of respondents were male, compared to 19.7% female. Additionally, 50% of journalists do not use ChatGPT, while 32% use it regularly and 18% to some extent, indicating its limited adoption in Iraqi journalism. The study recommends encouraging the use of ChatGPT to enhance storytelling techniques and produce in-depth reports, as these skills play a significant role in fostering audience engagement.

This paper explores the shortcomings of artificial intelligence (AI) for reading poetry, taking Warsan Shire's forceful poem "Home" as its central illustration. The past few years have seen literary critique more and more draw upon AI-facilitated devices for unearthing patterns, motifs, and stylistic elements between and across works. These devices are convenient in many respects: they are able to browse through enormous amounts of easily accessed information at speed, spot recurring words or groups of words, and categorize tone or form. Yet, poetry is rich in emotion, culture, and individual experience so that it is difficult for AI to completely grasp. Shire's "Home" is a poem that discusses the traumatic experience of refugees forced out of their homeland because of war and threat. Phrases like "no one leaves home unless home is the mouth of a shark" are rich in emotional and metaphorical content. A human reader feels the pain, fear, and urgency in these words, while an AI might only detect metaphor or categorize the topic as “migration” or “conflict.”Through a comparison of human and AI responses to Shire’s poem, this paper shows that AI can support analysis, but not replace the emotional and cultural sensitivity required for understanding poetry. The study argues that while AI is a useful tool, it lacks the human ability to empathize, to connect with trauma, and to interpret poetry as a lived experience. Therefore, literary interpretation—especially of emotionally charged texts—must remain a deeply human practice

This research paper offer a critical examination of transhumanism philosophical approaches through Nietzsche’s concept of Übermensch or Overman. While technological improvements promoted by transhumanists as a single trajectory to human progress, Nietzsche’s approach become a foundation to mark the individual struggle, self-reliance, and value making as one of the main pivotal marks of human evolution. The study examine multiple elements including ethical, existential and socio-cultural connotations that transhumanists target, warning against the outcomes of collective technological enhancements on individual banishing the unique human experience. This study aims to examine the variations of Nietzsche with contemporary transhumanist literature by applying qualitative, interpretive approach grounded in philosophical analysis and critical theory. The paper basically revolves around concepts, its goal is to discover the ideological and ethical point of interest through examining works of thinkers such as Nick Bostrom, Max More, and Stefan Sorgner. The philosophical divergence highlighted through contrasting and comparing evolution, individuality, and the impact of technology in human condition. In conclusion we clearly visualized that any integration of technological innovation or solutions must take in consideration the preservation of unique human qualities of individuality, cultural depth and ethics.

In this paper, the study provides a gynocritical and AI-assisted discourse analysis of the main plays by Heather Raffo, Nine Parts of Desire, Fallujah and Noura to discuss the ways in which the plays mediate the female desire, frame trauma, and give the center stage to the agency of Iraqi women. The study focuses on how the characters in Raffo question patriarchal and orientalist discourses through a feminist literature approach of gynocriticism in order to create narrative control in conflict- and diasporic contexts. Theoretically synthesizing AI-driven techniques like a sentiment analysis or topic modeling, the paper shows how the computational means can complement the conventional close reading, exposing both the linguistic and thematic patterns hidden in human interpretation. The results highlight the contribution of Raffo to the transformation of modern theatre as the author focuses on the peripheral voices and provides a sophisticated depiction of the strength of Arab women and their sorrows and dreams. Finally, the interdisciplinarity of this approach is revealing in terms of the possibilities of integrating the humanistic and digital approaches to the development of the feminist scholarship in the field of literature and the study of the theatre of the Middle East.

This essay analyzes Caryl Churchill’s A Number (2002) in relation to its engagement with the philosophical and theoretical issues of artificial intelligence and posthuman subjectivity. What Does It Mean to Be Human, Or Not, in the Era of Cloning What It Means to Be Human is set in the speculative world of human cloning, and the play questions what it means to be human in an age where subjectivity can be cloned, reshaped, and technologized. Based on posthumanist theories and current AI discourses, this article contends that Churchill enacts the algorithmic logic of reproduction and computation not to celebrate the marvel of technology, but to draw attention to its ethical ambivalences and to its psychological implications. The play’s minimalistic form and fractured dialogue reflects the logic of algorithmic processing, offering up cloned characters as volatile simulations of personality. Using a close reading informed by posthumanism and AI theory, this article demonstrates how A Number dramatizes the unfinishing of the humanist ideal, configuring identity as recursive, affective, and computationally produced.

This study aims at exploring metaphorical conceptualizations of the most common expressions in Jordanian Arabic through a comparative analysis between human interpretation and Artificial Intelligence (AI)-based interpretation. Depending on the theoretical bases of Conceptual Metaphor Theory (Lakoff & Johnson, 1980) and Cultural Linguistics, the current study examines the way by which metaphors are constructed cognitively and culturally in the human mind in comparison to how they are produced computationally through AI systems. This paper adopts a qualitative, descriptive, and comparative design, including the purposive selection of fourteen culturally rooted Jordanian metaphors. The human interpretations were gathered from a sample of native speakers of Jordanian Arabic through both interviews and written responses, while AI interpretations were produced through wide language models such as ChatGPT and Gemini.The analysis of data mainly included the conduct of conceptual and cultural mapping based on the theoretical frameworks adopted in the study to identify the main notable metaphor comprehension differences. Accordingly it has been noticed that AI has the ability to imitate the metaphorical conceptual structure based on the mechanisms of Conceptual Metaphor Theory with relatively high accuracy

This paper carries out a critical discourse analysis of Nicole Jenes’s satirical video, "The chosen ones flooding the world after the ‘promised land’ got consequences,". The study uses Teun A. Van Dijk’s ideology framework. It explores the social media attitudes concerning the Israel-Palestine and Israel-Iran conflicts as reflected in the selected video. In the video, satire is used as a tool to criticize Israel's regional actions. Jenes (the creator of the video) uses satire to criticize the narratives of the Israeli claims of entitlement, victimhood, and global dominance. The study shows how language and satire can challenge dominant ideologies and affect public perception. This paper aims to contribute to the understanding of ideological media representations and their sociopolitical implications.