[HTML][HTML] Causal modeling of twitter activity during covid-19

O Gencoglu, M Gruber - Computation, 2020 - mdpi.com
Understanding the characteristics of public attention and sentiment is an essential
prerequisite for appropriate crisis management during adverse health events. This is even …

Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic

H Cui, J Kertész - EPJ data science, 2021 - epjds.epj.org
Understanding attention dynamics on social media during pandemics could help
governments minimize the effects. We focus on how COVID-19 has influenced the attention …

Large-scale, language-agnostic discourse classification of tweets during COVID-19

O Gencoglu - Machine Learning and Knowledge Extraction, 2020 - mdpi.com
Quantifying the characteristics of public attention is an essential prerequisite for appropriate
crisis management during severe events such as pandemics. For this purpose, we propose …

Social listening, modern slavery, and COVID-19

B Lucas, T Landman - Journal of Risk Research, 2021 - Taylor & Francis
In addition to the public health crisis visited upon the world, the COVID-19 pandemic has
created unique uncertainties for organisations engaged with the United Nations Sustainable …

Topic discovery on farsi, English, French, and Arabic tweets related to COVID-19 using text mining techniques

H Jafarian, M Mohammadi, A Javaheri… - Navigating …, 2021 - ebooks.iospress.nl
Background: Social networks are a good source for monitoring public health during the
outbreak of COVID-19, these networks play an important role in identifying useful …

Analyzing user activity on Twitter during long-lasting crisis events: a case study of the Covid-19 crisis in Spain

B Esquirol, L Prignano, A Díaz-Guilera… - Social Network Analysis …, 2024 - Springer
A pandemic crisis like the Covid-19 outbreak is a complex event, involving numerous
aspects of the social life on multiple temporal scales. Focusing on the Spanish …

Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series

PS Dodds, JR Minot, MV Arnold, T Alshaabi… - arXiv preprint arXiv …, 2020 - arxiv.org
Maintaining the integrity of long-term data collection is an essential scientific practice. As a
field evolves, so too will that field's measurement instruments and data storage systems, as …

Characterizing Twitter users behaviour during the Spanish Covid-19 first wave

B Esquirol, L Prignano, A Díaz-Guilera… - arXiv preprint arXiv …, 2020 - arxiv.org
People use Online Social Media to make sense of crisis events. A pandemic crisis like the
Covid-19 outbreak is a complex event, involving numerous aspects of the social life on …

Learning from pandemics: using extraordinary events can improve disease now-casting models

S Mesquita, CH Vieira, L Perfeito… - arXiv preprint arXiv …, 2021 - arxiv.org
Online searches have been used to study different health-related behaviours, including
monitoring disease outbreaks. An obvious caveat is that several reasons can motivate …

Pandemic response and crisis informatics: an imperative for public health messaging

CM Lai, YC Liu, RC Chang… - 2020 International …, 2020 - ieeexplore.ieee.org
The focus of this research is to examine the usage patterns exhibited by users of online
search engines in the midst of COVID-19. We aim to understand how the queries are …