Suppr超能文献

新冠疫情对在线食品杂货购物的影响:从谷歌趋势和带地理标签的推文所反映出的讨论与行为

Impact of COVID-19 on online grocery shopping discussion and behavior reflected from Google Trends and geotagged tweets.

作者信息

Wu Nemin, Mu Lan

机构信息

Department of Geography, University of Georgia, Athens, GA USA.

出版信息

Comput Urban Sci. 2023;3(1):7. doi: 10.1007/s43762-023-00083-0. Epub 2023 Feb 22.

Abstract

People express opinions, make connections, and disseminate information on social media platforms. We considered grocery-related tweets as a proxy for grocery shopping behaviors or intentions. We collected data from January 2019 to January 2022, representing three typical times of the normal period before the COVID-19 pandemic, the outbreak period, and the widespread period. We obtained grocery-related geotagged tweets using a search term index based on the top 10 grocery chains in the US and compiled Google Trends online grocery shopping data. We performed a topic modeling analysis using the Latent Dirichlet Allocation (LDA), and verified that most of the collected tweets were related to grocery-shopping demands or experiences. Temporal and geographical analyses were applied to investigate when and where people talked more about groceries, and how COVID-19 affected them. The results show that the pandemic has been gradually changing people's daily shopping concerns and behaviors, which have become more spread throughout the week since the pandemic began. Under the causal impact of COVID-19, people first experienced panic buying groceries followed by pandemic fatigue a year later. The normalized tweet counts show a decrease of 40% since the pandemic began, and the negative causal effect can be considered statistically significant (-value = 0.001). The variation in the quantity of grocery-related tweets also reflects geographic diversity in grocery concerns. We found that people in non-farm areas with less population and relatively lower levels of educational attainment tend to act more sensitively to the evolution of the pandemic. Utilizing the COVID-19 death cases and consumer price index (CPI) for food at home as background information, we proposed an understanding of the pandemic's impact on online grocery shopping by assembling, geovisualizing, and analyzing the evolution of online grocery behaviors and discussion on social media before and during the pandemic.

摘要

人们在社交媒体平台上表达观点、建立联系并传播信息。我们将与食品杂货相关的推文视为食品杂货购物行为或意图的一种代表。我们收集了2019年1月至2022年1月的数据,涵盖了新冠疫情大流行前的正常时期、爆发期和广泛传播期这三个典型阶段。我们使用基于美国十大食品杂货连锁店的搜索词索引获取了带有地理标记的与食品杂货相关的推文,并整理了谷歌趋势在线食品杂货购物数据。我们使用潜在狄利克雷分配(LDA)进行了主题建模分析,并验证了所收集的大多数推文都与食品杂货购物需求或体验相关。我们进行了时间和地理分析,以调查人们何时何地更多地谈论食品杂货,以及新冠疫情如何影响他们。结果表明,疫情一直在逐渐改变人们的日常购物关注点和行为,自疫情开始以来,这些关注点和行为在一周内分布得更加分散。在新冠疫情的因果影响下,人们首先经历了抢购食品杂货,一年后又出现了疫情疲劳。自疫情开始以来,标准化推文数量下降了40%,这种负面因果效应在统计学上可被视为显著(p值 = 0.001)。与食品杂货相关的推文数量变化也反映了食品杂货关注点的地理多样性。我们发现,人口较少且教育程度相对较低的非农业地区的人们对疫情演变的反应往往更为敏感。利用新冠疫情死亡病例和家庭食品消费价格指数(CPI)作为背景信息,我们通过汇总、地理可视化和分析疫情前及疫情期间社交媒体上在线食品杂货行为的演变以及相关讨论,提出了对疫情对在线食品杂货购物影响的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fac/9943725/7e8eb3e1755c/43762_2023_83_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验