文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

情感在印度因新冠疫情实施封锁期间过度使用推特中的作用。

Role of Emotion in Excessive Use of Twitter During COVID-19 Imposed Lockdown in India.

作者信息

Arora Anshika, Chakraborty Pinaki, Bhatia M P S, Mittal Prabhat

机构信息

Department of Computer Science and Engineering, Netaji Subhas University of Technology, New Delhi, 110078 India.

Department of Commerce, Satyawati College (Evening), University of Delhi, Delhi, 110052 India.

出版信息

J Technol Behav Sci. 2021;6(2):370-377. doi: 10.1007/s41347-020-00174-3. Epub 2020 Oct 20.


DOI:10.1007/s41347-020-00174-3
PMID:33102690
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7572156/
Abstract

The COVID-19 pandemic and the lockdowns to contain it are affecting the daily life of people around the world. People are now using digital technologies, including social media, more than ever before. The objectives of this study were to analyze the social media usage pattern of people during the COVID-19 imposed lockdown and to understand the effects of emotion on the same. We scraped messages posted on Twitter by users from India expressing their emotion or view on the pandemic during the first 40 days of the lockdown. We identified the users who posted frequently and analyzed their usage pattern and their overall emotion during the study period based on their tweets. It was observed that 222 users tweeted frequently during the study period. Out of them, 13.5% were found to be addicted to Twitter and posted 13.67 tweets daily on an average (SD: 4.89), while 3.2% were found to be highly addicted and posted 40.71 tweets daily on an average (SD: 9.90) during the study period. The overall emotion of 40.1% of the users was happiness throughout the study period. However, it was also observed that users who tweeted more frequently were typically angry, disgusted, or sad about the prevailing situation. We concluded that people with a negative sentiment are more susceptible to addictive use of social media.

摘要

新冠疫情及其防控封锁措施正在影响着全球各地人们的日常生活。如今,人们对包括社交媒体在内的数字技术的使用比以往任何时候都更加频繁。本研究的目的是分析在新冠疫情封锁期间人们的社交媒体使用模式,并了解情绪对其的影响。我们抓取了印度用户在封锁的前40天里发布在推特上的有关疫情的情绪或观点的信息。我们确定了频繁发帖的用户,并根据他们的推文分析了他们在研究期间的使用模式和总体情绪。研究发现,在研究期间有222名用户频繁发推。其中,13.5%的用户被发现对推特上瘾,平均每天发布13.67条推文(标准差:4.89),而3.2%的用户被发现高度上瘾,在研究期间平均每天发布40.71条推文(标准差:9.90)。在整个研究期间,40.1%的用户总体情绪为快乐。然而,研究还发现,发帖更频繁的用户通常对当前形势感到愤怒、厌恶或悲伤。我们得出结论,情绪消极的人更容易沉迷于社交媒体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/7572156/1afce0634589/41347_2020_174_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/7572156/443d5a724625/41347_2020_174_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/7572156/1afce0634589/41347_2020_174_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/7572156/443d5a724625/41347_2020_174_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad65/7572156/1afce0634589/41347_2020_174_Fig2_HTML.jpg

相似文献

[1]
Role of Emotion in Excessive Use of Twitter During COVID-19 Imposed Lockdown in India.

J Technol Behav Sci. 2021

[2]
Social media analysis of Twitter tweets related to ASD in 2019-2020, with particular attention to COVID-19: topic modelling and sentiment analysis.

J Big Data. 2022

[3]
Tweet content related to sexually transmitted diseases: no joking matter.

J Med Internet Res. 2014-10-6

[4]
Using Twitter Comments to Understand People's Experiences of UK Health Care During the COVID-19 Pandemic: Thematic and Sentiment Analysis.

J Med Internet Res. 2021-10-25

[5]
Exploring the Behavior of Users With Attention-Deficit/Hyperactivity Disorder on Twitter: Comparative Analysis of Tweet Content and User Interactions.

J Med Internet Res. 2023-5-17

[6]
Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis.

J Med Internet Res. 2022-10-5

[7]
Seeking and Providing Social Support on Twitter for Trauma and Distress During the COVID-19 Pandemic: Content and Sentiment Analysis.

J Med Internet Res. 2023-8-31

[8]
Increased Online Aggression During COVID-19 Lockdowns: Two-Stage Study of Deep Text Mining and Difference-in-Differences Analysis.

J Med Internet Res. 2022-8-9

[9]
A study on the sentiments and psychology of twitter users during COVID-19 lockdown period.

Multimed Tools Appl. 2022

[10]
Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence.

J Med Internet Res. 2021-4-30

引用本文的文献

[1]
Only the Bluesky is the limit: ten tips for a trending #Skytorial.

Clin Kidney J. 2024-12-18

[2]
Public Health Policy, Political Ideology, and Public Emotion Related to COVID-19 in the U.S.

Int J Environ Res Public Health. 2023-10-29

[3]
Physical activity and mental health during the COVID-19 pandemic among individuals with amputation.

PLoS One. 2023

[4]
Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study.

JMIR Infodemiology. 2023-5-2

[5]
COVID-19 case prediction using emotion trends Twitter emoji analysis: A case study in Japan.

Front Public Health. 2023

[6]
A Study on the Relationship between Internet Overdependence and Anger Response among Young Adults during COVID-19 Pandemic: Moderating Effect on Negative Emotions.

Int J Environ Res Public Health. 2023-1-30

[7]
Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling.

Front Psychol. 2022-12-28

[8]
The antidepressant effect of physical exercise: Evidence from China Family Panel Studies.

PLoS One. 2022

[9]
The Emotional Anatomy of the Wuhan Lockdown: Sentiment Analysis Using Weibo Data.

JMIR Form Res. 2022-11-14

[10]
Effectiveness of online mindfulness-based interventions in improving mental health during the COVID-19 pandemic: A systematic review and meta-analysis of randomized controlled trials.

PLoS One. 2022

本文引用的文献

[1]
COVID-19 Fear, Mental Health, and Substance Use Among Israeli University Students.

Int J Ment Health Addict. 2022

[2]
Assessing Coronavirus Fear in Indian Population Using the Fear of COVID-19 Scale.

Int J Ment Health Addict. 2021

[3]
Changes in alcohol use as a function of psychological distress and social support following COVID-19 related University closings.

Addict Behav. 2020-6-26

[4]
Drinking to cope with the pandemic: The unique associations of COVID-19-related perceived threat and psychological distress to drinking behaviors in American men and women.

Addict Behav. 2020-6-27

[5]
Loneliness: A signature mental health concern in the era of COVID-19.

Psychiatry Res. 2020-5-23

[6]
University students' mental health amidst the COVID-19 quarantine in Greece.

Psychiatry Res. 2020-5-19

[7]
Psychological effects of the COVID-19 outbreak and lockdown among students and workers of a Spanish university.

Psychiatry Res. 2020-5-19

[8]
Insomnia during the COVID-19 pandemic in a Greek population.

Psychiatry Res. 2020-5-12

[9]
Absence makes the heart grow fonder: social compensation when failure to interact risks weakening a relationship.

EPJ Data Sci. 2017

[10]
Keeping the country positive during the COVID 19 pandemic: Evidence from India.

Asian J Psychiatr. 2020-6

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索