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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 thepandemic, social vloggers have used social media to actively share theiropinions or experiences in quarantine. This paper collected videos from YouTubeto track emotional responses in conversational vlogs and their potentialassociations with events related to the pandemic. In particular, vlogs uploadedfrom locations in New York City were analyzed given that this was one of thefirst epicenters of the pandemic in the United States. We observed some commonpatterns in vloggers' acoustic and linguistic features across the time span ofthe quarantine, which is indicative of changes in emotional reactivity.Additionally, we investigated fluctuations of acoustic and linguistic patternsin relation to COVID-19 events in the New York area (e.g. the number of dailynew cases, number of deaths, and extension of stay-at-home order and state ofemergency). Our results indicate that acoustic features, such aszero-crossing-rate, jitter, and shimmer, can be valuable for analyzingemotional reactivity in social media videos. Our findings further indicate thatsome of the peaks of the acoustic and linguistic indices align with COVID-19events, such as the peak in the number of deaths and emergency declaration.

Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs