新冠疫情期间的智慧城市数据感知：公众对加速数字化转型的反应。

Smart City Data Sensing during COVID-19: Public Reaction to Accelerating Digital Transformation.

机构信息

Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, 117865 Moscow, Russia.

Moscow Centre of Urban Studies, 115280 Moscow, Russia.

出版信息

Sensors (Basel). 2021 Jun 8;21(12):3965. doi: 10.3390/s21123965.

DOI:10.3390/s21123965

PMID:34201395

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8228338/

Abstract

The article presents the results of the analysis of the adaptation of metropolis IT technologies to solve operational problems in extreme conditions during the COVID-19 pandemic. The material for the study was Russian-language data from social networks, microblogging, blogs, instant messengers, forums, reviews, video hosting services, thematic portals, online media, print media and TV related to the first wave of the COVID-19 pandemic in Russia. The data were collected between 1 March 2020 and 1 June 2020. The database size includes 85,493,717 characters. To analyze the content of social media, a multimodal approach was used involving neural network technologies, text analysis, sentiment-analysis and analysis of lexical associations. The transformation of old digital services and applications, as well as the emergence of new ones were analyzed in terms of the perception of digital communications by actors.

摘要

本文介绍了分析大都市 IT 技术适应能力的结果，这些技术旨在解决 COVID-19 大流行期间极端条件下的运营问题。研究材料是与俄罗斯 COVID-19 大流行第一波相关的俄语社交网络、微博、博客、即时通讯、论坛、评论、视频托管服务、专题门户、在线媒体、印刷媒体和电视的数据。数据收集时间为 2020 年 3 月 1 日至 2020 年 6 月 1 日。数据库大小包括 85,493,717 个字符。为了分析社交媒体的内容，采用了多模式方法，涉及神经网络技术、文本分析、情感分析和词汇联想分析。从参与者对数字通信的感知角度分析了旧数字服务和应用的转型以及新数字服务和应用的出现。