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Due to the nature of the data and public interaction, twitter is becoming more and more useful to understand and model various events. The goal of CoronaVis is to use tweets as the information shared by the people to visualize topic…

Social and Information Networks · Computer Science 2020-07-14 Md. Yasin Kabir , Sanjay Madria

The outbreak of the COVID-19 pandemic has been accompanied by a bulk of scientific research and related Twitter discussions. To unravel the public concerns about the COVID-19 crisis reflected in the science-based Twitter conversations, this…

Digital Libraries · Computer Science 2020-06-11 Zhichao Fang , Rodrigo Costas

Social media is a rich source where we can learn about people's reactions to social issues. As COVID-19 has significantly impacted on people's lives, it is essential to capture how people react to public health interventions and understand…

Computation and Language · Computer Science 2020-07-07 Hyeju Jang , Emily Rempel , Giuseppe Carenini , Naveed Janjua

The COVID-19 pandemic has upended daily life around the globe, posing a threat to public health. Intuitively, we expect that surging cases and deaths would lead to fear, distress and other negative emotions. However, using state-of-the-art…

Social and Information Networks · Computer Science 2023-04-06 Siyi Guo , Keith Burghardt , Ashwin Rao , Kristina Lerman

The human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2), causing the COVID-19 disease, has continued to spread all over the world. It menacingly affects not only public health and global economics but also mental health and…

Social and Information Networks · Computer Science 2023-04-03 Qihuang Zhang , Grace Y. Yi , Li-Pang Chen , Wenqing He

COVID-19 has created a major public health problem worldwide and other problems such as economic crisis, unemployment, mental distress, etc. The pandemic is deadly in the world and involves many people not only with infection but also with…

Machine Learning · Computer Science 2025-11-25 Khandaker Tayef Shahriar , Iqbal H. Sarker

The COVID-19 pandemic has affected all aspects of society, not only bringing health hazards, but also posing challenges to public order, governments and mental health. Moreover, it is the first one in history in which people from around the…

Social and Information Networks · Computer Science 2020-11-24 Antonela Tommasel , Daniela Godoy , Juan Manuel Rodriguez

The understanding of the public response to COVID-19 vaccines is the key success factor to control the COVID-19 pandemic. To understand the public response, there is a need to explore public opinion. Traditional surveys are expensive and…

Social and Information Networks · Computer Science 2021-09-30 Amir Karami , Michael Zhu , Bailey Goldschmidt , Hannah R. Boyajieff , Mahdi M. Najafabadi

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…

Social and Information Networks · Computer Science 2021-10-13 Hamed Vahdat-Nejad , Fatemeh Salmani , Mahdi Hajiabadi , Faezeh Azizi , Sajedeh Abbasi , Mohadese Jamalian , Reyhane Mosafer , Hamideh Hajiabadi

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…

Social and Information Networks · Computer Science 2020-07-03 Yipeng Zhang , Hanjia Lyu , Yubao Liu , Xiyang Zhang , Yu Wang , Jiebo Luo

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…

Social and Information Networks · Computer Science 2020-11-03 Oguzhan Gencoglu , Mathias Gruber

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…

Computation and Language · Computer Science 2021-06-15 Arunava Kumar Chakraborty , Sourav Das , Anup Kumar Kolya

We propose a novel approach to assess the public's coping behavior during the COVID-19 outbreak by examining the emotions. Specifically, we explore (1) changes in the public's emotions with the COVID-19 crisis progression and (2) the…

Social and Information Networks · Computer Science 2024-09-18 Smitha Muthya Sudheendra , Hao Xu , Jisu Huh , Jaideep Srivastava

In recent months, COVID-19 has become a global pandemic and had a huge impact on the world. People under different conditions have very different attitudes toward the epidemic. Due to the real-time and large-scale nature of social media, we…

Social and Information Networks · Computer Science 2020-06-03 Yuqi Gao , Hang Hua , Jiebo Luo

The novel coronavirus (COVID-19) pandemic is the most talked topic in social media platforms in 2020. People are using social media such as Twitter to express their opinion and share information on a number of issues related to the COVID-19…

Social and Information Networks · Computer Science 2020-06-02 Mohammed Emtiaz Ahmed , Md Rafiqul Islam Rabin , Farah Naz Chowdhury

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…

Social and Information Networks · Computer Science 2020-08-28 Anna Kruspe , Matthias Häberle , Iona Kuhn , Xiao Xiang Zhu

The COVID-19 pandemic has led to the emergence of Long COVID, a cluster of symptoms that persist after infection. Long COVID patients may also experience mental health challenges, making it essential to understand individuals' emotional and…

Social and Information Networks · Computer Science 2023-07-18 Guocheng Feng , Huaiyu Cai , Wei Quan

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research discovers public sentiment amidst problematic socioeconomic consequences of the lockdown, and explores ensuing four potential sentiment…

Information Retrieval · Computer Science 2020-05-25 Jim Samuel , Md. Mokhlesur Rahman , G. G. Md. Nawaz Ali , Yana Samuel , Alexander Pelaez

The study aims to understand Twitter users' discourse and psychological reactions to COVID-19. We use machine learning techniques to analyze about 1.9 million Tweets (written in English) related to coronavirus collected from January 23 to…

Social and Information Networks · Computer Science 2021-01-27 Jia Xue , Junxiang Chen , Chen Chen , Chengda Zheng , Sijia Li , Tingshao Zhu

The COVID-19 pandemic brought many challenges, from hospital-occupation management to lock-down mental-health repercussions such as anxiety or depression. In this work, we present a solution for the later problem by developing a Twitter…

Computation and Language · Computer Science 2020-12-23 Santiago Cortes , Juan Muñoz , David Betancur , Mauricio Toro