Translation for political external communication has become a critical avenue for the construction of national image. As a core medium for conveying China’s policy ideas, Qiushi magazine occupies a pivotal position in the dissemination of the Chinese government’s governing philosophy. Its English edition serves as an important window through which the international community understands China’s political system and cultural values, and the quality of its translation bears directly on the effectiveness of China’s international discourse. Grounded in the theoretical framework of Eco-Translatology, this study takes representative Qiushi texts published between 2021 and 2024 as case studies to examine how political external communication translation can effectively achieve accurate linguistic transformation, convey cultural connotations, and integrate cross-cultural communicative intentions. The paper aims to demonstrate how such translation practices contribute to the construction of China’s national image and the shaping of international recognition, while also offering practical insights for the translation of similar text types.

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This paper explores how otome games have evolved from their original “strategy-based” logic into an interactive narrative medium focused on “emotional resonance.” First, it sorts out the definition and development context of otome games, as well as the social, cultural, and technological drivers behind their growing demand, pointing out that they respond to the dilemmas modern women face in real intimate relationships and their pursuit of subjectivity. Furthermore, the paper analyzes the core emotional design mechanisms of otome games, including branching narratives and multiple-ending structures, affinity and interactive feedback systems, and realistic scenario construction driven by voice, haptics, and AI technologies. It argues that these mechanisms collectively construct a form of “digital intimacy” that immerses players and encourages their active co-creation. Finally, the paper examines the cultural implications of otome games, suggesting that beyond entertainment consumption, they provide women with a utopian space for identity construction and emotional exploration, and discusses the ethical challenges that may emerge in future development. This study aims to reveal the underlying emotional structure and socio-psychological significance of otome games as an important cultural phenomenon.

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Large Language Models (LLMs) increasingly mediate communication, evaluation, and decision-making across social and institutional domains. While prior work has documented various forms of bias in language technologies, linguistic variation has received comparatively less integrated treatment despite its deep sociolinguistic significance. This review synthesizes recent research on how LLMs reflect and reinforce linguistic bias toward nonstandard dialects, with a focus on African American English and other marginalized varieties. Drawing on studies spanning natural language understanding, reasoning, speech recognition, and conversational systems, we show that LLMs exhibit consistent performance disparities when processing dialectal inputs, even when semantic content is held constant. Beyond accuracy degradation, emerging evidence demonstrates that dialect functions as a social signal that triggers differential judgment, stereotyping, and covertly racist decision-making in high-stakes contexts. We organize the literature around four themes: dialect-based performance gaps, dialect-triggered social evaluation, measurement frameworks for linguistic bias, and proposed mitigation strategies. While recent benchmarks and adaptation methods improve robustness, we argue that many approaches treat dialect bias as a technical deficiency rather than a sociotechnical problem rooted in language ideology and power. By synthesizing research across technical, social, and evaluative dimensions, this review identifies methodological gaps and proposes directions for developing linguistically and culturally robust LLMs.

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This paper explores the integration mechanism between generative algorithms and traditional Chinese paper-cutting art. Against the backdrop of rapid advancements in digital technology, generative algorithms have become an important tool in artistic creation, revitalizing paper-cutting art through the modernization of traditional artistic forms. Beginning with the shift in visual culture in the digital age, this paper analyzes how generative algorithms promote new modes of artistic expression. It then discusses the modern transformation of paper-cutting art, particularly focusing on the application and transformation of digital technologies and generative algorithms in paper-cutting design. Finally, using the design of theatrical characters in paper-cutting style as a case study, it compares the performance of different AIGC tools in generating traditional artistic symbols and examines the potential of generative algorithms in art education through curriculum practice. The study shows that generative algorithms not only improve the efficiency and diversity of traditional art creation but also provide ample space for its inheritance and innovation.

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