School of Marxism, Xi'an Jiaotong University, Xi'an, 710049, China.
College of Basic Medical, Fourth Military Medical University, Xi'an, 710032, China.
Sci Rep. 2023 Sep 7;13(1):14744. doi: 10.1038/s41598-023-41184-4.
Patients narratives are being recorded increasingly frequently and spontaneously in short user produced content (UGC) films, which may have an impact on the vlogger's health as well as the public's comprehension of the relevant health concerns. This paper addressed three research questions regarding the population characteristics of UGC video publishers, the narrative theme of the videos, and the emotional orientation of the commenters. This study aimed to deepen our understanding of COVID-19 patients' narrative intentions and emotional needs through the theoretical frameworks of theory of planned behavior (TPB) and negative dominance theory (NDT). We collected 335 videos from 28 COVID-19 patients and 572,052 comments as samples on Douyin platform, the largest short-video website in China. Using Latent Semantic Analysis, we analyzed the descriptive information of the video blogs, the narrative textual information of the videos, and the emotional orientation of the comments. Our findings revealled seven categories of narrative themes, with 52.1% of video comments exhibiting a positive emotional orientation. Within a framework integrating TPB and NDT theories, we analyzed the behavioral intentions of vloggers and viewers during COVID-19 epidemic, and interpreted the persistent posting of videos and the active posting of comments as positive actions that counteracted the multiple effects of negative messages. This study contributes to the understanding of individual narratives in macro-risk communication, both theoretically and empirically, and offers policy recommendations in relevant fields.
患者叙事越来越频繁地以简短的用户生成内容 (UGC) 电影的形式被记录下来,这可能会对视频博主的健康以及公众对相关健康问题的理解产生影响。本文针对 UGC 视频发布者的人口特征、视频的叙事主题以及评论者的情感取向这三个研究问题进行了探讨。本研究旨在通过计划行为理论 (TPB) 和消极优势理论 (NDT) 的理论框架,深入了解 COVID-19 患者的叙事意图和情感需求。我们从中国最大的短视频平台抖音上收集了 28 位 COVID-19 患者的 335 个视频和 572,052 条评论作为样本。我们使用潜在语义分析 (Latent Semantic Analysis) 分析了视频博客的描述信息、视频的叙事文本信息以及评论的情感取向。我们的研究结果揭示了七种叙事主题类别,其中 52.1%的视频评论表现出积极的情感取向。在整合 TPB 和 NDT 理论的框架内,我们分析了 COVID-19 疫情期间视频博主和观众的行为意图,并将视频的持续发布和评论的积极发布解释为对抗负面信息多重影响的积极行为。本研究在理论和实证上都为宏观风险传播中的个体叙事提供了新的见解,并为相关领域提供了政策建议。