跟踪和了解COVID-19期间的公众反应:以沙特阿拉伯为例

Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali, D. Alajaji, Mashail Alturki, Jaida Alsuhaibani, Fawziah Aljabli
{"title":"跟踪和了解COVID-19期间的公众反应:以沙特阿拉伯为例","authors":"Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali, D. Alajaji, Mashail Alturki, Jaida Alsuhaibani, Fawziah Aljabli","doi":"10.18653/v1/2020.nlpcovid19-2.24","DOIUrl":null,"url":null,"abstract":"The coronavirus disease of 2019 (COVID-19) has had a huge impact on economies and societies around the world. While governments are taking extreme measures to reduce the spread of the virus, people are being affected by these new measures. With restrictions like lockdowns and social distancing, it has become important to understand the emotional response of the public towards the pandemic. In this paper, we study the reaction of Saudi Arabian citizens towards the pandemic. We utilize a collection of Arabic tweets that were sent during 2020, primarily through hashtags that originated in Saudi Arabia. Our results showed that people had maintained a positive reaction towards the pandemic. This positive reaction was at its highest at the beginning of the COVID-19 crisis and started to decline as time passed. Overall, the results showed that people were highly supportive of each other through this pandemic. This research can help researchers and policymakers in understanding the emotional effect of a pandemic on societies.","PeriodicalId":131251,"journal":{"name":"Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case\",\"authors\":\"Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali, D. Alajaji, Mashail Alturki, Jaida Alsuhaibani, Fawziah Aljabli\",\"doi\":\"10.18653/v1/2020.nlpcovid19-2.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The coronavirus disease of 2019 (COVID-19) has had a huge impact on economies and societies around the world. While governments are taking extreme measures to reduce the spread of the virus, people are being affected by these new measures. With restrictions like lockdowns and social distancing, it has become important to understand the emotional response of the public towards the pandemic. In this paper, we study the reaction of Saudi Arabian citizens towards the pandemic. We utilize a collection of Arabic tweets that were sent during 2020, primarily through hashtags that originated in Saudi Arabia. Our results showed that people had maintained a positive reaction towards the pandemic. This positive reaction was at its highest at the beginning of the COVID-19 crisis and started to decline as time passed. Overall, the results showed that people were highly supportive of each other through this pandemic. This research can help researchers and policymakers in understanding the emotional effect of a pandemic on societies.\",\"PeriodicalId\":131251,\"journal\":{\"name\":\"Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/2020.nlpcovid19-2.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/2020.nlpcovid19-2.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

摘要

2019年冠状病毒病(COVID-19)对世界各地的经济和社会产生了巨大影响。虽然各国政府正在采取极端措施减少病毒的传播,但人们正在受到这些新措施的影响。在封锁和保持社交距离等限制措施下,了解公众对疫情的情绪反应变得非常重要。在本文中,我们研究了沙特阿拉伯公民对大流行的反应。我们利用了2020年期间发送的一系列阿拉伯语推文,主要是通过来自沙特阿拉伯的标签。我们的结果显示,人们对大流行保持了积极的反应。这种积极反应在新冠疫情爆发之初达到顶峰,随着时间的推移开始下降。总体而言,结果表明,在这场大流行中,人们相互高度支持。这项研究可以帮助研究人员和政策制定者了解大流行对社会的情感影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case
The coronavirus disease of 2019 (COVID-19) has had a huge impact on economies and societies around the world. While governments are taking extreme measures to reduce the spread of the virus, people are being affected by these new measures. With restrictions like lockdowns and social distancing, it has become important to understand the emotional response of the public towards the pandemic. In this paper, we study the reaction of Saudi Arabian citizens towards the pandemic. We utilize a collection of Arabic tweets that were sent during 2020, primarily through hashtags that originated in Saudi Arabia. Our results showed that people had maintained a positive reaction towards the pandemic. This positive reaction was at its highest at the beginning of the COVID-19 crisis and started to decline as time passed. Overall, the results showed that people were highly supportive of each other through this pandemic. This research can help researchers and policymakers in understanding the emotional effect of a pandemic on societies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities Developing a Curated Topic Model for COVID-19 Medical Research Literature Characterizing drug mentions in COVID-19 Twitter Chatter CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1