The COVID-19 pandemic caused by the novel SARS-Coronavirus-2 (n-SARS-CoV-2) has impacted people's lives in unprecedented ways. During the time of the pandemic, social vloggers have used social media to actively share their opinions or experiences in quarantine. This paper collected videos from YouTube to track emotional responses in conversational vlogs and their potential associations with events related to the pandemic. In particular, vlogs uploaded from locations in New York City were analyzed given that this was one of the first epicenters of the pandemic in the United States. We observed some common patterns in vloggers' acoustic and linguistic features across the time span of the quarantine, which is indicative of changes in emotional reactivity. Additionally, we investigated fluctuations of acoustic and linguistic patterns in relation to COVID-19 events in the New York area (e.g. the number of daily new cases, number of deaths, and extension of stay-at-home order and state of emergency). Our results indicate that acoustic features, such as zero-crossing-rate, jitter, and shimmer, can be valuable for analyzing emotional reactivity in social media videos. Our findings further indicate that some of the peaks of the acoustic and linguistic indices align with COVID-19 events, such as the peak in the number of deaths and emergency declaration.

中文翻译：

---

探索网络挖掘的 COVID-19 对话视频博客中的语音提示

由新型 SARS-Coronavirus-2 (n-SARS-CoV-2) 引起的 COVID-19 大流行以前所未有的方式影响了人们的生活。在大流行期间，社交视频博主使用社交媒体积极分享他们在隔离中的观点或经验。本文从 YouTube 收集了视频，以跟踪对话视频博客中的情绪反应及其与大流行相关事件的潜在关联。考虑到这是美国大流行的第一个震中之一，特别是对从纽约市上传的视频博客进行了分析。我们在隔离期间观察到视频博主的声音和语言特征的一些常见模式，这表明情绪反应发生了变化。此外，我们调查了与纽约地区 COVID-19 事件相关的声学和语言模式的波动（例如每日新增病例数、死亡人数以及居家令和紧急状态的延长）。我们的结果表明，声学特征，例如过零率、抖动和微光，对于分析社交媒体视频中的情绪反应很有价值。我们的研究结果进一步表明，声学和语言指数的一些峰值与 COVID-19 事件一致，例如死亡人数和紧急声明的峰值。可用于分析社交媒体视频中的情绪反应。我们的研究结果进一步表明，声学和语言指数的一些峰值与 COVID-19 事件一致，例如死亡人数和紧急声明的峰值。可用于分析社交媒体视频中的情绪反应。我们的研究结果进一步表明，声学和语言指数的一些峰值与 COVID-19 事件一致，例如死亡人数和紧急声明的峰值。