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Understanding the characteristics of public attention and sentiment is an essential prerequisite for appropriate crisis management during adverse health events. This is even more crucial during a pandemic such as COVID-19, as primary…

社会与信息网络 · 计算机科学 2020-11-03 Oguzhan Gencoglu , Mathias Gruber

The COVID-19 pandemic has introduced new opportunities for health communication, including an increase in the public use of online outlets for health-related emotions. People have turned to social media networks to share sentiments related…

计算与语言 · 计算机科学 2023-03-30 Brianna M White , Chad A Melton , Parya Zareie , Robert L Davis , Robert A Bednarczyk , Arash Shaban-Nejad

The coronavirus (COVID-19) pandemic has significantly altered our lifestyles as we resort to minimize the spread through preventive measures such as social distancing and quarantine. An increasingly worrying aspect is the gap between the…

社会与信息网络 · 计算机科学 2020-05-22 Muhammad Saad , Muhammad Hassan , Fareed Zaffar

The objective of this work is to explore popular discourse about the COVID-19 pandemic and policies implemented to manage it. Using Natural Language Processing, Text Mining, and Network Analysis to analyze corpus of tweets that relate to…

社会与信息网络 · 计算机科学 2020-03-24 Christian E. Lopez , Malolan Vasu , Caleb Gallemore

Since its outbreak, the ongoing COVID-19 pandemic has caused unprecedented losses to human lives and economies around the world. As of 18th July 2020, the World Health Organization (WHO) has reported more than 13 million confirmed cases…

社会与信息网络 · 计算机科学 2020-08-21 Rajdeep Mukherjee , Sriyash Poddar , Atharva Naik , Soham Dasgupta

The COVID-19 pandemic has been affecting the world dramatically ever since 2020. The minimum availability of physical interactions during the lockdown has caused more and more people to turn to online activities on social media platforms.…

社会与信息网络 · 计算机科学 2023-09-19 Cai Yang

Crises such as natural disasters, global pandemics, and social unrest continuously threaten our world and emotionally affect millions of people worldwide in distinct ways. Understanding emotions that people express during large-scale crises…

计算与语言 · 计算机科学 2022-07-22 Tiberiu Sosea , Chau Pham , Alexander Tekle , Cornelia Caragea , Junyi Jessy Li

This paper describes a large global dataset on people's discourse and responses to the COVID-19 pandemic over the Twitter platform. From 28 January 2020 to 1 June 2022, we collected and processed over 252 million Twitter posts from more…

计算与语言 · 计算机科学 2022-06-28 Raj Kumar Gupta , Ajay Vishwanath , Yinping Yang

Background. After a year and half and over 4 million deaths, the COVID-19 pandemic continues to be widespread, and its related topics continue to dominate the global media. Although COVID-19 diagnoses have been well monitored, neither the…

计算机与社会 · 计算机科学 2021-08-19 Guangqing Chi , Junjun Yin , M. Luke Smith , Yosef Bodovski

The outbreak of the novel Coronavirus Disease (COVID-19) has greatly influenced people's daily lives across the globe. Emergent measures and policies (e.g., lockdown, social distancing) have been taken by governments to combat this highly…

信息检索 · 计算机科学 2020-07-07 Hui Yin , Shuiqiao Yang , Jianxin Li

At the time of writing, the ongoing pandemic of coronavirus disease (COVID-19) has caused severe impacts on society, economy and people's daily lives. People constantly express their opinions on various aspects of the pandemic on social…

社会与信息网络 · 计算机科学 2020-06-08 Xiaoya Li , Mingxin Zhou , Jiawei Wu , Arianna Yuan , Fei Wu , Jiwei Li

The COVID-19 pandemic has caused widespread devastation throughout the world. In addition to the health and economical impacts, there is an enormous emotional toll associated with the constant stress of daily life with the numerous…

社会与信息网络 · 计算机科学 2020-12-08 Jolin Shaynn-Ly Kwan , Kwan Hui Lim

The Covid-19 has presented an unprecedented challenge to public health worldwide. However, residents in different countries showed diverse levels of Covid-19 awareness during the outbreak and suffered from uneven health impacts. This study…

Social media data can be a very salient source of information during crises. User-generated messages provide a window into people's minds during such times, allowing us insights about their moods and opinions. Due to the vast amounts of…

社会与信息网络 · 计算机科学 2020-08-28 Anna Kruspe , Matthias Häberle , Iona Kuhn , Xiao Xiang Zhu

Background: The COVID-19 pandemic has affected our society and human well-being in various ways. In this study, we investigate how the pandemic has influenced people's emotions and psychological states compared to a pre-pandemic period…

计算与语言 · 计算机科学 2023-09-19 Tian Yan , Fang Liu

In 2020, COVID-19 became the chief concern of the world and is still reflected widely in all social networks. Each day, users post millions of tweets and comments on this subject, which contain significant implicit information about the…

The exposure and consumption of information during epidemic outbreaks may alter risk perception, trigger behavioural changes, and ultimately affect the evolution of the disease. It is thus of the uttermost importance to map information…

社会与信息网络 · 计算机科学 2020-06-12 Nicolò Gozzi , Michele Tizzani , Michele Starnini , Fabio Ciulla , Daniela Paolotti , André Panisson , Nicola Perra

The COVID-19 pandemic has severely affected people's daily lives and caused tremendous economic loss worldwide. However, its influence on people's mental health conditions has not received as much attention. To study this subject, we choose…

社会与信息网络 · 计算机科学 2020-07-03 Yipeng Zhang , Hanjia Lyu , Yubao Liu , Xiyang Zhang , Yu Wang , Jiebo Luo

As the Covid-19 outbreaks rapidly all over the world day by day and also affects the lives of million, a number of countries declared complete lock-down to check its intensity. During this lockdown period, social media plat-forms have…

计算与语言 · 计算机科学 2021-06-15 Arunava Kumar Chakraborty , Sourav Das , Anup Kumar Kolya

The COVID-19 pandemic has claimed millions of lives worldwide and elicited heightened emotions. This study examines the expression of various emotions pertaining to COVID-19 in the United States and India as manifested in over 54 million…

计算与语言 · 计算机科学 2023-03-21 Brandon Siyuan Loh , Raj Kumar Gupta , Ajay Vishwanath , Andrew Ortony , Yinping Yang
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