“宝见，我受你一靠子”的语言认知阐释与传播机制研究

A Study on Linguistic-Cognitive Interpretation and Communication Mechanism of “Bao Jian, Wo Shou Ni Yi Kao Zi”

摘要: “宝见，我受你一靠子”是源自2025年“白城大姨”征婚事件的网络流行语，本义为“宝贝，我爱你一辈子”，其错字是由字形视觉相似造成的，属于“字形错位”现象。文章以该语句为研究对象，采用个案分析与文本分析法，从语言本体、认知机制、传播动力、社会意涵四个维度展开分析。研究表明：在语言本体层面，字形错位是汉字识别规律、手写输入技术与中老年群体手写输入特征共同作用的结果；在认知层面，框架语义学支撑语义还原，概念整合理论解释“笨拙的真挚”这一涌现意义的生成；在传播层面，其完整经历语言模因从“变异”到“选择”再到“保留”的周期，凭借保真度、多产性与情感反差实现了跨圈层扩散；在社会层面，折射出代际数字鸿沟、网络亚文化意义重构与媒介化情感表达的多重议题。研究为纯视觉驱动的网络语言变异提供了微观样本，也丰富了中老年数字语言实践的相关研究视角。

Abstract: “Bao Jian, Wo Shou Ni Yi Kao Zi” is an internet catchphrase originating from the 2025 marriage-seeking incident of “Baicheng Aunt”. The intended original meaning of the expression is “Baby, I will love you for a lifetime”, and its character errors stem from the visual similarity of Chinese character forms, a phenomenon defined as “character form misalignment”. Taking this expression as the research object, this paper adopts case analysis and text analysis methods, and conducts research from four dimensions: linguistic ontology, cognitive mechanism, communication dynamics, and social connotation. The research findings show that at the linguistic ontology level, character form misalignment results from the combined effect of Chinese character recognition rules, handwriting input technology, and the handwriting input characteristics of middle-aged and elderly groups. At the cognitive level, Frame Semantics underpins the restoration of intended meaning, while Conceptual Integration Theory accounts for the generation of the emergent meaning of “clumsy sincerity”. At the communication level, the expression undergoes a complete linguistic meme cycle from “variation” to “selection” and then to “retention”, and achieves cross-community diffusion by virtue of its fidelity, productivity, and emotional contrast. At the social level, it reflects multiple issues including the intergenerational digital divide, meaning reconstruction of online subculture, and mediatized emotional expression. This paper provides a microscopic sample of purely visually-driven internet language variation, and also enriches relevant research perspectives on digital language practices of middle-aged and elderly populations.