本研究聚焦于网络流行语这一互联网时代极具特色的语言现象,依托多模态语料库展开深度剖析。通过精心构建涵盖多模态数据的网络流行语语料库,综合运用社会语言学、认知语言学和传播学等多学科理论,全面且深入地探究网络流行语的多模态...本研究聚焦于网络流行语这一互联网时代极具特色的语言现象,依托多模态语料库展开深度剖析。通过精心构建涵盖多模态数据的网络流行语语料库,综合运用社会语言学、认知语言学和传播学等多学科理论,全面且深入地探究网络流行语的多模态特征、演变路径及其背后的复杂影响因素,旨在为网络语言规范、舆情监测以及社会文化研究提供具有重要价值的参考依据,推动相关领域的学术发展与实践应用。This study centers on the unique linguistic phenomenon of internet buzzwords, a hallmark of the internet age, and performs an in-depth analysis utilizing a multimodal corpus. By meticulously constructing a comprehensive corpus of internet buzzwords enriched with multimodal data, and by integrating theories from sociolinguistics, cognitive linguistics, and communication studies, this research delves into the multimodal attributes, evolutionary trajectories, and the intricate factors influencing the emergence and dissemination of internet buzzwords. The ultimate goal is to offer substantial insights for internet language standardization, public sentiment monitoring, and sociocultural investigations, thereby advancing both academic research and practical implementations in pertinent fields.展开更多
文摘本研究聚焦于网络流行语这一互联网时代极具特色的语言现象,依托多模态语料库展开深度剖析。通过精心构建涵盖多模态数据的网络流行语语料库,综合运用社会语言学、认知语言学和传播学等多学科理论,全面且深入地探究网络流行语的多模态特征、演变路径及其背后的复杂影响因素,旨在为网络语言规范、舆情监测以及社会文化研究提供具有重要价值的参考依据,推动相关领域的学术发展与实践应用。This study centers on the unique linguistic phenomenon of internet buzzwords, a hallmark of the internet age, and performs an in-depth analysis utilizing a multimodal corpus. By meticulously constructing a comprehensive corpus of internet buzzwords enriched with multimodal data, and by integrating theories from sociolinguistics, cognitive linguistics, and communication studies, this research delves into the multimodal attributes, evolutionary trajectories, and the intricate factors influencing the emergence and dissemination of internet buzzwords. The ultimate goal is to offer substantial insights for internet language standardization, public sentiment monitoring, and sociocultural investigations, thereby advancing both academic research and practical implementations in pertinent fields.
