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论文编号：	14768
作者编号：	2120223628
上传时间：	2024/6/8 21:29:05
中文题目：	语言教育类短视频账号影响力形成机制的研究
英文题目：	The Mechanism of Influence Formation for Language Education Short Video Accounts
指导老师：	石鉴
中文关键字：	短视频平台；语言教育；影响力形成；用户互动行为
英文关键字：	short video platform; language education; influence formation; user interaction behavior
中文摘要：	随着移动互联网和智能终端的迅速普及，短视频已成为新兴的社交媒体形式，在语言教育领域展现出巨大的应用潜力。语言教育类短视频账号通过生动形象的视频内容传播语言学习知识，为学习者提供了便捷、高效的学习渠道。然而，在激烈的市场竞争环境下，如何提升语言教育类短视频账号的影响力，吸引更多用户关注和互动，成为亟待解决的现实问题。 本研究旨在探究语言教育类短视频账号影响力的形成机制，系统分析影响其影响力形成的关键因素及其作用路径。研究在互动仪式链理论和多模态学习理论的指导下，从用户互动行为、视频特征、观众特征、账号特征等维度出发，构建了语言教育类短视频账号影响力形成的理论模型。研究采用定量研究方法，通过网络爬虫技术从主流短视频平台采集相关数据，运用多元线性回归、探索性因子分析和结构方程模型等方法，检验了理论模型和研究假设。多元回归分析结果表明，视频发布时间、用户群体特征等因素能显著提升用户互动。探索性因子分析将影响因素归纳为视频特征因子和账号特征因子两个维度。结构方程模型进一步揭示了各影响因素的作用路径，互动参与是影响力形成的核心驱动和直接表征，而视频发布策略、账号定位、受众洞察则通过提升塑造账号形象、匹配用户特点等途径，间接带动互动水平的提升，系统揭示了语言教育短视频影响力形成的多维影响因素网络及其作用机制。 本研究拓展了短视频影响力形成的相关理论，深化了对语言教育类短视频账号影响力形成机制的理解。研究结果不仅为社交媒体环境下教育内容传播的互动机制提供了新的理论视角和实证支持，也为语言教育短视频的实践经营提供了有价值的启示和指导。未来研究可以在纳入更多影响因素，如内容情感、视频风格等，构建更为全面的影响力形成机制模型；以及拓展研究平台和样本类型，纳入其他主流短视频平台，考察不同平台机制下影响力形成的差异性，验证模型的跨情境适用性。
英文摘要：	As mobile internet and smart devices rapidly proliferate, short videos have emerged as a prominent social media format, particularly potent in the language education sector. These videos offer learners an accessible and efficient method for acquiring language skills. However, amidst intense market competition, enhancing the influence of language education short video accounts to attract more user engagement remains a critical challenge. This study explores the mechanisms behind the influence formation of these accounts by analyzing key factors such as user interaction behaviors, video characteristics, audience traits, and account features. This study explores the formation mechanisms of influence in language education short video accounts, analyzing key factors such as user interaction, video characteristics, and account features under the guidance of Interaction Ritual Chain Theory and Multimodal Learning Theory. Using quantitative methods, including multiple linear regression and structural equation modeling, data was collected from major short video platforms to test our model. Findings suggest that video posting timing and user demographics significantly impact user interaction. The structural equation model reveals that interaction is the central driver of influence, with account strategies and audience insights indirectly enhancing interaction through improved account image and user alignment. This research not only contributes to the theoretical understanding of influence in educational short videos but also offers practical insights for optimizing language education content delivery. Future studies could expand by incorporating additional variables like content emotion and exploring cross-platform differences to enhance the model's comprehensiveness and applicability.
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