科研成果详情

题名Understanding user engagement in online communities during covid-19 pandemic: Evidence from sentiment and semantic analysis on YouTube
作者
发表日期2021
会议名称21st International Conference on Electronic Business: Corporate Resilience through Electronic Business in the Post-COVID Era, ICEB 2021
会议录名称Proceedings of the International Conference on Electronic Business (ICEB)
ISSN1683-0040
卷号21
页码651-656
会议日期December 3-7, 2021
会议地点Virtual, Online
摘要

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.

关键词COVID-19 Sentiment analysis User engagement YouTube
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语种英语English
Scopus入藏号2-s2.0-85125334261
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/8489
专题工商管理学院
通讯作者Wang, May
作者单位
Beijing Normal University-Hong Kong Baptist University,United International College,Zhuhai,China
第一作者单位北师香港浸会大学
通讯作者单位北师香港浸会大学
推荐引用方式
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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