Details of Research Outputs

TitleUnderstanding user engagement in online communities during covid-19 pandemic: Evidence from sentiment and semantic analysis on YouTube
Creator
Date Issued2021
Conference Name21st International Conference on Electronic Business: Corporate Resilience through Electronic Business in the Post-COVID Era, ICEB 2021
Source PublicationProceedings of the International Conference on Electronic Business (ICEB)
ISSN1683-0040
Volume21
Pages651-656
Conference DateDecember 3-7, 2021
Conference PlaceVirtual, Online
Abstract

Since the outbreak of COVID-19, the pandemic has changed the lives of many people and brought dramatic motional experiences. Among many social media platforms, YouTube saw the most significant growth of any social media app among American users during the pandemic, according to the Pew Research Center on 7 April 2021. Exposure to COVID-19 related news can have a significant impact on user engagement on social networks. Different news may trigger different emotions (i.e., anger, anticipation, disgust, fear, joy, sadness, surprise, or trust), and a user may engage differently in response to the news. On YouTube, user engagement is manifested through actions such as liking, disliking, commenting, or sharing videos. During the pandemic, many users provide constructive comments that are encouraging, respectful, and informative to support each other. We applied sentiment analysis in the study to investigate different emotions and applied semantic analysis to investigate positive appraisal (i.e., encouraging, respectful, and informative) to identify salient factors that can motivate user engagement. The findings of the work shed light on how social network platforms could encourage constructive comments to help people provide emotional support to each other during pandemics through using positive appraisal in online news comments.

KeywordCOVID-19 Sentiment analysis User engagement YouTube
URLView source
Language英语English
Scopus ID2-s2.0-85125334261
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/8489
CollectionFaculty of Busines and Management
Corresponding AuthorWang, May
Affiliation
Beijing Normal University-Hong Kong Baptist University,United International College,Zhuhai,China
First Author AffilicationBeijing Normal-Hong Kong Baptist University
Corresponding Author AffilicationBeijing Normal-Hong Kong Baptist University
Recommended Citation
GB/T 7714
Li, Chenyang,Xie, Mingze,Wang, May. Understanding user engagement in online communities during covid-19 pandemic: Evidence from sentiment and semantic analysis on YouTube[C], 2021: 651-656.
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