From the perspective of intersubjectivity, this study examines English general extenders in interpersonal interaction and their implications for cross-cultural communication. Based on spoken language corpora from existing literature and by integrating politeness strategy theory with the Gricean Cooperative Principle, the research findings reveal that general extenders exert pragmatic functions guided by politeness strategies, which are rooted in intersubjectivity and closely related to the addressee's self-image, covering both positive and negative politeness. Specifically, conjunctive extenders enhance social closeness through shared experiences (positive politeness) and perform a hedging function regarding informativeness in line with the Quantity Maxim; disjunctive ones mitigate tone via alternative possibilities (negative politeness) and maintain caution about information accuracy based on the Quality Maxim. Their intersubjective function relies on the subjectively assumed shared knowledge, experiences and conceptual frameworks between communicators, enabling information omission and listener inference. Mastery of these extenders facilitates smooth cross-cultural communication by negotiating shared knowledge, and the research findings provide solid theoretical and practical support for cultivating socio-pragmatic competence in EFL teaching.

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Music Emotion Recognition (MER) aims to model the mapping between acoustic features and emotional representations. MER has important value in applications such as music recommendation, automatic accompaniment, and automatic music generation, yet remains challenging due to strong subjectivity and complex temporal dynamics. Based on the public MediaEval Database for Emotional Analysis of Music (DEAM), this study employs OpenL3 pre-trained audio embeddings as a unified feature representation and performs frame-level feature extraction with temporal alignment to 2 Hz continuous Valence-Arousal (VA) annotations. On this basis, three lightweight regression models, including a Multilayer Perception (MLP), a Bidirectional Long Short-term Memory network (BiLSTM), and a Transformer Encoder are constructed to VA regression. Model performance is evaluated using Root Square Error (RMSE) and the Pearson Correlation Coefficient (PCC). Experimental results show that the MLP achieves the best overall performance on the test set, with lower RMSE and higher correlation than the BiLSTM and Transformer Encoder. These results demonstrate that pre-trained audio representations enable stable and efficient continuous music emotion regression with lightweight machine learning models.

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As short-video platforms have become a key part of urban marketing, street vendors have quickly gained attention and now hold symbolic meaning in city life. Public sentiment about them has changed quickly because of new trends and commercialization. Jingdezhen's "Chicken Cutlet Brother" is a typical case of this phenomenon. He initially gained attention through humorous interactions, then began to gradually participate in official events, and served as a cultural tourism ambassador for Jingdezhen. However, as exposure and commercial collaborations increased, sentiment in Douyin comment section gradually shifted from positive to fatigue and dislike. To understand this shift, this paper analyzes Douyin comments through data collection and sentiment classification. It identifies three stages in sentiment shifts: viral surge phase, commercialization intensification phase, and fatigue and disengagement phase. The study further examines the relationship between key commercialization nodes and shifts in public sentiment. This paper finds that commercialization nodes served as clear triggers and amplifiers, shifting what was originally a relaxed interactive experience towards an exhausting evaluation. It also reflects the dynamic emotional relationship between influencers, platform mechanisms, and urban narratives, offering a new discourse analysis method for understanding sentiment shifts of current internet-famous cities.

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In today’s youth cultural landscape, Cosplay has transformed from a niche fan pastime to a worldwide cultural event. Participants bring characters from virtual world like anime and game into real life via costume, props, body performance. This is far from being just a reproduction, it is full of cultural and communicative gravity. From the perspective of Communication studies the study mainly includes two questions first is that how people find identity from multifold identity, second is that how Cosplay-loving community form, communicate and meet internal problem. The study finds that cosplayers get “liminal spaces” by participating in cosplays, in which they can find their ideal selves and challenge social norms in terms of role-play, so that they can have different kinds of identity practices and temporary cross-dimensional identities. At the same time, Cosplay groups, via ritualistic interaction online and off, build significant cultural recognition and a feeling of homeliness. But they face hierarchies shaped by cultural capital and problems linked to commercializing, with competing for cultural capital inside showing differences in control. This study suggests that cosplaying is a kind of important culture practice that allows modern youth to express themselves in their own word and makes them have many friends.

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