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)
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ISSN | 1683-0040 |
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 |
URL | 查看来源 |
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. |
条目包含的文件 | 条目无相关文件。 |
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