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Contrastive Analysis of Media Framing in German, Arabic, Spanish, and French: A Corpus-Based Study of Migration Discourse in Translated News Articles
Get PDFThe present study utilized a cross-cultural and multilingual corpus of news articles to assess the role of media framing in the migration discourse. The corpus included three hundred news reports from French, Spanish, German, and Arabic media outlets, including some supplementary material. This study investigated the independent role of translation as a reframing device in the construction of refugees and migrants in the discourse on migration. Critical Discourse Analysis (CDA), Baker’s Narrative Theory, and Van Dijk’s Ideological Square were essential theories and tools used for analysis, along with a few others. Results of the study revealed the different mechanisms by which news media outlets maintain power dynamics and reflect cultural ideologies in translated works. These include shifts in translation, lexical framings, and in-group out-group biases
Gendered Language and Stigma: A Corpus-Based Analysis of ‘Man’ and ‘Woman’ in Albanian Media Discourse
Get PDFThis paper examines how the Albanian lexical items burrë (“man”) and grua (“woman”) function in Albanian media discourse as carriers of stigma and gendered meaning. The study forms part of the national research project STI(G)MA: A Comparative Analysis of Stigmatization Patterns in Albanian and English Media Discourse Using Information Technology and Digitalization (2024–2026), supported by AKKSHI/NASRI. Using a purpose-built corpus of opinion articles (2021–2024), the analysis combines frequency profiling, thematic concordance analysis, and collocational tendencies to trace how masculinity and femininity are discursively constructed. The results show a marked asymmetry: burrë is predominantly linked with authority, political leadership, and criminal agency, while grua is tied to victimhood, domestic roles, and moral evaluation. These lexical environments reveal entrenched gender stereotypes and mechanisms of stigmatization that naturalize social hierarchies and normalize inequality. By applying a corpus-assisted discourse analytical approach, the study demonstrates how everyday media language in Albania reinforces gender bias, while also empasizing the importance of critical media literacy and gender-sensitive journalism
The Legal and Ethical Regulation of Artificial Intelligence Technologies in Media Content Production in Jordan and Their Impact on Journalistic Practice – A Case Study of Jordan Television
Get PDFThis research has examined the example of Jordan Television to understand how AI technologies might be implemented in the media production sector in Jordan with legal and ethical regulation. The use of AI innovation by media institutions worldwide is the main reason behind the fears of ethics, legal frameworks, and traditional ethical aspiration of journalism. The report then proceeded to employ a descriptive-analytic approach, which was based on a survey distributed to staff members of Jordan television (N=57). The study had three main areas: the extent of AI technology use in media production, the legal and ethical regulation concerns, and the implications of AI technologies for journalism practice. The results indicated that the use of AI technology in media production at Jordan Television was at a medium level. Besides that, there seemed to be a mixed understanding of or the existence of a regulatory framework and uncovering of new concerns of the decline of traditional journalism skills and competencies. The research also shows that professional impacts, regulatory approaches, and levels of AI use are significantly linked; thus, it is even more necessary to draw up legally binding and ethical standards that allow for the orderly and fair use of AI. Additionally, the research encourages the provision of training programs that can equip media professionals with the know-how and skills to use AI responsibly and effectively. On a general note, the study is a great source of theoretical and practical insights regarding the application of AI technologies in the Jordanian media context and also the challenges of media governance in today's digital world
The Gendered Gaze of Silicon Valley: Deconstructing Power, Representation, and Superficial Diversity in The Internship (2013)
Get PDFShawn Levy’s 2013 comedy The Internship, starring Vince Vaughn and Owen Wilson, might appear at first glance to be a lighthearted tale of career reinvention at Google. However, this article reveals the film to be a potent cultural artifact that exposes persistent patriarchal norms and the hollowness of corporate diversity rhetoric in Silicon Valley’s technology sector. Grounded in Laura Mulvey’s concept of the “male gaze” and informed by bell hooks’ theory of the “oppositional gaze,” the analysis dissects how The Internship systematically objectifies its female characters, centers male subjectivity, and marginalizes women within the tech workspace. This feminist reading is further deepened with insights from Science and Technology Studies (STS) and intersectional postcolonial critique, illuminating how the film constructs the idea of technological expertise and workplace “meritocracy” while trafficking in racialized, exoticized stereotypes of characters of color. Through detailed textual and discourse analysis of key scenes, characterizations, dialogue, and cinematography, the paper argues that The Internship promotes a tokenistic vision of diversity that masks profound gender and racial inequities. The film symbolically silences women in leadership, naturalizes sexist workplace attitudes, and uncritically celebrates a techno-utopian meritocracy that obscures systemic barriers. Despite its comedic tone and the limited scholarly attention the film has drawn since 2013, The Internship’s regressive representations remain disturbingly relevant, reflecting enduring cultural narratives that hinder genuine equity in STEM fields. By scrutinizing this underexamined text, the study fills a significant gap in the literature, offering the first comprehensive, theoretically integrated feminist critique of The Internship
Cultural Heritage Preservation through Visual Storytelling: A Study on the Representation of the Yifan Festival in Contemporary Children’s Animation
Get PDFThis study investigates how the Yifan Festival, an intangible cultural heritage of the Mulao ethnic group, can be effectively preserved and transmitted to children aged 6 to 12 through visual storytelling in animation. Traditional rituals of the festival, including spirit offerings, masked dances, and chanting, are often perceived as abstract or intimidating by young audiences. Using a qualitative case study approach centred on the animated short film A-Ming and the Pact with the Spirits, the research applied narrative and symbolic analysis to examine how complex cultural elements can be reimagined in a child-friendly format. A three-tiered 3D animation translation model focusing on image, emotion, and meaning guided the adaptation of visual and ritual symbols. A referenced educational experiment compared the impact of animation with traditional teaching, revealing significantly higher levels of symbol recognition, emotional preference, and narrative recall among children exposed to the animated content. The findings highlight that animation, when grounded in cultural authenticity and narrative empathy, serves as an effective medium for heritage education. This research offers valuable insights for educators, cultural policymakers, and animators in designing culturally sensitive and pedagogically effective media for children, supporting the long-term transmission of intangible cultural heritage through emotionally engaging and visually compelling storytelling
Representation of Muslim Women in Advertisements in Post-Independence Bangladesh
Get PDFThis paper examines the representation of Muslim women in advertisements in post-independence Bangladesh and explores how these portrayals have been shaped by cultural, religious, and economic changes over time. Since 1971, shifting political ideologies, economic development, and globalization have influenced the portrayal of Muslim women in media, evolving from traditional Bengali image to more modern, often Western-influenced portrayals. Yet, these modern portrayals are often overshadowed by patriarchal representations that reinforce the stereotypical gender roles prevalent in South Asian societies. By analyzing Bangladeshi print advertisements from the 1970s–80s, 1990s, and the 21st century, this study examines clothing patterns, gender roles, and class to understand how the media has both shaped and reflected the changing identities of Muslim women. The paper argues that although contemporary media foregrounds the image of empowered Muslim women in public and professional spaces, it still relies heavily on culturally and religiously embedded stereotypes. Overall, this research highlights the complex process of identity formation among Muslim women and demonstrates how these changes are reflected in Bangladeshi visual media representations
Journalism in the Digital Crucible: An Empirical Analysis of AI-Powered Fact-Checking and Combating Misinformation in the Gulf Region
Get PDFThis study presents an empirical investigation into the role of Artificial Intelligence (AI) in journalism, focusing on fact-checking and combating misinformation in the Gulf Region. Combining a comprehensive literature review with a descriptive-analytical survey of 102 specialists (journalists, academics, physicians, social media activists) in the UAE and neighboring Gulf countries, this research provides quantitative and qualitative findings. Key results indicate moderate trust in digital news (M = 3.2, SD = 0.9), high self-reported discernment ability (M = 4.1, SD = 0.7), and a cautious, emerging reliance on AI tools for verification (M = 3.4, SD = 1.1). A one-way ANOVA revealed a statistically significant difference in AI reliance between professional groups, F(3, 98) = 4.82, *p* = .003, partial η² = 0.13, with journalists (M = 3.9, SD = 0.8) reporting significantly higher usage than academics and physicians. Correlation analysis showed that younger professionals were more likely to adopt AI tools (*r* = -0.34, *p* < .01). Thematic analysis identified the "AI paradox," where these tools are seen as both a vital defense against misinformation and a potential source of bias, particularly within the Gulf's unique media landscape. The paper concludes with concrete, actionable recommendations for implementing a "human-in-the-loop" model, enhancing AI literacy, and developing culturally-aware ethical frameworks to guide AI integration in Gulf journalism
Taxis and Logico-Semantic Relations in English-Arabic Translation of News Articles
Get PDFThis study applies Halliday’s Systemic Functional Linguistics (SFL) framework to analyze taxis and logico-semantic relations in English and Arabic news articles. The study draws on a bilingual corpus of 180 BBC news articles (covering politics, economics, and sports) published between 2023 and 2024. Using Python-based automation and manual validation, as well as both quantitative and qualitative methods, the study identifies structural patterns and translation shifts. The findings reveal language- and genre-specific preferences: English news articles favor paratactically linked clauses, whereas Arabic news articles exhibit a stronger preference for hypotaxis. Expansion was the most frequent logico-semantic relation in both languages, with enhancement being the dominant subtype in both languages. In terms of projection, English employed locution more often than Arabic, reflecting genre and stylistic differences. The analysis showed that while shifts in translation taxis and logico-semantic relations occur, a substantial portion of relations are preserved, indicating high structural and semantic fidelity to the source text. These findings offer valuable insights for English-Arabic news translations and contribute to a deeper understanding of the syntactic complexity and coherence in cross-linguistic journalistic discourse
Insights into the State of Financial Literacy in Germany: First Results of a Nationwide Survey
Get PDFFinancial literacy is playing an increasingly important role in today's complex world. Since the beginning of the new millennium, more countries and international organizations have recognized the importance of measuring and educating people about financial literacy, for example, to guide their market behavior. Using the OECD understanding of financial education and with the help of the OECD toolkit for this, the current state of financial literacy was recorded as part of a Germany-wide representative survey. Methodologically, the aim is to use exploratory data analysis to present an initial analysis and evaluation of the primary data collected. This is also linked to an investigation of what kind of connections exist between the various variables, and which factors can explain financial literacy in Germany. The results show that many respondents consider financial literacy to be rather important to very important and rate their own financial literacy as rather good to very good. However, the measurement of financial literacy shows that out of a total of 20 possible points, only an overall average of 10.7 points is achieved. In addition, differences can be found between the age groups, with the score increasing with age. Multiple linear regressions with all subscores and the final score as the dependent variable, and different independent variables, yield highly significant results and explain a moderate to strong amount of variance
Weighted Dynamic Corridor Price Optimization
Get PDFSmall and medium-sized enterprises (SMEs) in the capital goods sector face persistent challenges in developing pricing strategies that effectively balance cost recovery, competitive positioning, and value realisation amidst dynamic market conditions. This study introduces the Weighted Dynamic Corridor Price Optimisation (WDCP) framework, a novel hybrid model combining cost-plus and value-based pricing methodologies within a flexible pricing corridor.The WDCP model establishes a minimum price grounded in production costs and strategic objectives, while the maximum price reflects customer-perceived value, psychological pricing thresholds, and external market dynamics. Empirical surveys among SME decision-makers and simulation analyses validate the framework, demonstrating its ability to enhance profitability, mitigate risks of over- or under-pricing, and provide superior pricing flexibility. Key features such as fixed cost degression, non-linear optimisation, and dynamic adjustments enable the model to adapt seamlessly to fluctuating market conditions and strategic priorities, including profit maximisation, market penetration, and customer retention.By addressing the limitations of traditional cost-plus and value-based approaches, the WDCP framework bridges the gap between simplicity and market responsiveness. It integrates economic, psychological, and strategic factors into a practical, actionable pricing tool tailored to the unique needs of SMEs. This innovative approach fosters sustainable competitive advantages by equipping SMEs with the capacity to respond proactively to evolving customer demands and volatile industrial markets