论文标题
探索网络挖掘的Covid-19中的语音提示
Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs
论文作者
论文摘要
由新颖的SARS-Coronavirus-2（N-SARS-COV-2）引起的19009年大流行，以前所未有的方式影响了人们的生活。在大流行时期，社会视频博客已经利用社交媒体积极分享他们在隔离的意见或经验。本文从YouTube收集了视频，以跟踪会话视频博客中的情感反应及其与大流行有关的事件的潜在关联。特别是，鉴于这是美国大流行的首批中心之一，分析了从纽约市地点上传的视频博客。我们在隔离仪的时间跨度中观察到了Vlogger的声学和语言特征中的一些常见模式，这表明情绪反应性的变化。此外，我们研究了与纽约地区的Covid-19事件有关的声学和语言模式的波动（例如，每日新病例的数量，死亡人数以及在家中待定的秩序和紧急状态的延长）。我们的结果表明，诸如零交叉速率，抖动和微光之类的声学特征对于分析社交媒体视频中的情感反应性很有价值。我们的发现进一步表明，声学和语言指数的某些峰与COVID-19事件保持一致，例如死亡人数和紧急声明的峰值。
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.
