Social emotions under the spread of COVID-19 using social media

被引:10
|
作者
Toriumi F. [1 ]
Sakaki T. [1 ,2 ]
Yoshida M. [3 ]
机构
[1] Hottolink, Inc., The University of Tokyo
关键词
COVID-19; Information diffusion; SNS analysis; Social emotions;
D O I
10.1527/tjsai.F-K45
中图分类号
学科分类号
摘要
The spread of COVID-19, the so-called new coronavirus, is currently having an enormous social and economic impact on the entire world. Under such a circumstance, the spread of information about the new coronavirus on SNS is having a significant impact on economic losses and social decision-making. In this study, we investigated how the new type of coronavirus has become a social topic in Japan, and how it has been discussed. In order to determine what kind of impact it had on people, we collected and analyzed Japanese tweets containing words related to the new corona on Twitter. First, we analyzed the bias of users who tweeted. As a result, it is clear that the bias of users who tweeted about the new coronavirus almost disappeared after February 28, 2020, when the new coronavirus landed in Japan and a state of emergency was declared in Hokkaido, and the new corona became a popular topic. Second, we analyzed the emotional words included in tweets to analyze how people feel about the new coronavirus. The results show that the occurrence of a particular social event can change the emotions expressed on social media. © 2020, Japanese Society for Artificial Intelligence. All rights reserved.
引用
收藏
页码:1 / 7
页数:6
相关论文
共 50 条
  • [31] Spread mechanism and control strategy of social network rumors under the influence of COVID-19
    Hui, Hongwen
    Zhou, Chengcheng
    Lu, Xing
    Li, Jiarong
    NONLINEAR DYNAMICS, 2020, 101 (03) : 1933 - 1949
  • [32] Forecasting COVID-19 Vaccination Rates using Social Media Data
    Li, Xintian
    Culotta, Aron
    COMPANION OF THE WORLD WIDE WEB CONFERENCE, WWW 2023, 2023, : 1020 - 1029
  • [33] Analysis of COVID-19 Misinformation in Social Media using Transfer Learning
    Dhankar, Abhishek
    Samuel, Hamman
    Hassan, Fahim
    Farruque, Nawshad
    Bolduc, Francois
    Zaiane, Osmar
    2021 IEEE 33RD INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2021), 2021, : 880 - 885
  • [34] Creative Production of 'COVID-19 Social Distancing' Narratives on Social Media
    Mohamad, Siti Mazidah
    TIJDSCHRIFT VOOR ECONOMISCHE EN SOCIALE GEOGRAFIE, 2020, 111 (03) : 347 - 359
  • [35] An Analysis on Social Media Use for Learning Under the COVID-19 Condition in Japan
    Iitaka, Toshikazu
    LEARNING AND COLLABORATION TECHNOLOGIES: DESIGNING THE LEARNER AND TEACHER EXPERIENCE, LCT 2022, PT I, 2022, 13328 : 253 - 264
  • [36] Social media mining under the COVID-19 context: Progress, challenges, and opportunities
    Huang, Xiao
    Wang, Siqin
    Zhang, Mengxi
    Hu, Tao
    Hohl, Alexander
    She, Bing
    Gong, Xi
    Li, Jianxin
    Liu, Xiao
    Gruebner, Oliver
    Liu, Regina
    Li, Xiao
    Liu, Zhewei
    Ye, Xinyue
    Li, Zhenlong
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 113
  • [37] Social media communication of the scientific and technological literature in emergency under COVID-19
    Li, Jiapei
    Sun, Liming
    Feng, Xin
    He, Peiyi
    Zhang, Yue
    LIBRARY HI TECH, 2021, 39 (03) : 796 - 813
  • [38] Understanding How and by Whom COVID-19 Misinformation is Spread on Social Media: Coding and Network Analyses
    Zhao, Yuehua
    Zhu, Sicheng
    Wan, Qiang
    Li, Tianyi
    Zou, Chun
    Wang, Hao
    Deng, Sanhong
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2022, 24 (06)
  • [39] The dual effect of social ties on COVID-19 spread in Japan
    Fraser, Timothy
    Aldrich, Daniel P.
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [40] Network model and analysis of the spread of Covid-19 with social distancing
    Parul Maheshwari
    Réka Albert
    Applied Network Science, 5