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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

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

In late-2020, many countries around the world faced another surge in number of confirmed cases of COVID-19, including United Kingdom, Canada, Brazil, United States, etc., which resulted in a large nationwide and even worldwide wave. While…

Populations and Evolution · Quantitative Biology 2021-04-12 Disheng Tang , Wei Cao , Jiang Bian , Tie-Yan Liu , Zhifeng Gao , Shun Zheng , Jue Liu

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

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

The outbreak COVID-19 virus caused a significant impact on the health of people all over the world. Therefore, it is essential to have a piece of constant and accurate information about the disease with everyone. This paper describes our…

Computation and Language · Computer Science 2021-04-02 Tin Van Huynh , Luan Thanh Nguyen , Son T. Luu

The COVID-19 pandemic has forced public health experts to develop contingent policies to stem the spread of infection, including measures such as partial/complete lockdowns. The effectiveness of these policies has varied with geography,…

Social and Information Networks · Computer Science 2020-10-29 Parth Asawa , Manas Gaur , Kaushik Roy , Amit Sheth

Intensified preventive measures during the COVID-19 pandemic, such as lockdown and social distancing, heavily increased the perception of social isolation (i.e., a discrepancy between one's social needs and the provisions of the social…

Social and Information Networks · Computer Science 2023-04-27 Michelle Bak , Chungyi Chiu , Jessie Chin

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

During the outbreak of the COVID-19 pandemic, social networks become the preeminent medium for communication, social discussion, and entertainment. Social network users are regularly expressing their opinions about the impacts of the…

Social and Information Networks · Computer Science 2021-03-25 Eldor Abdukhamidov , Firuz Juraev , Mohammed Abuhamad , Tamer AbuHmed

As COVID-19 sweeps the globe, outcomes depend on effective relationships between the public and decision-makers. In the UK there were uncivil tweets to MPs about perceived UK tardiness to go into lockdown. The pandemic has led to increased…

Computers and Society · Computer Science 2020-06-16 Genevieve Gorrell , Tracie Farrell , Kalina Bontcheva

Ever since the first case of the novel coronavirus disease (COVID-19) was confirmed in Wuhan, China, social distancing has been promoted worldwide, including the United States. It is one of the major community mitigation strategies, also…

Computers and Society · Computer Science 2020-05-05 Yixuan Pan , Aref Darzi , Aliakbar Kabiri , Guangchen Zhao , Weiyu Luo , Chenfeng Xiong , Lei Zhang

The COVID-19 epidemic has had a great impact on social media conversation, especially on sites like Twitter, which has emerged as a hub for public reaction and information sharing. This paper deals by analyzing a vast dataset of Twitter…

Information Retrieval · Computer Science 2024-06-04 Nikhil Kumar Rajput , Bhavya Ahuja Grover , Vipin Kumar Rathi , Riya Bansal

With the rapid development of COVID-19 around the world, people are requested to maintain "social distance" and "stay at home". In this scenario, extensive social interactions transfer to cyberspace, especially on social media platforms…

Social and Information Networks · Computer Science 2020-10-13 Yong Hu , Heyan Huang , Anfan Chen , Xian-Ling Mao

The ongoing, fluid nature of the COVID-19 pandemic requires individuals to regularly seek information about best health practices, local community spreading, and public health guidelines. In the absence of a unified response to the pandemic…

Social and Information Networks · Computer Science 2021-06-30 Ryan J. Gallagher , Larissa Doroshenko , Sarah Shugars , David Lazer , Brooke Foucault Welles

In this study, we construct a series of evolving epidemic networks by measuring the correlations of daily COVID-19 cases time series among 3,105 counties in the United States. Remarkably, through quantitative analysis of the spatial…

Physics and Society · Physics 2024-01-24 Jiarui Dong , Guanghao Ran

Epidemiological models, traditionally used to study disease spread, can effectively analyze mob behavior on social media by treating ideas, sentiments, or behaviors as ``contagions" that propagate through user networks. In this research, we…

Physics and Society · Physics 2025-07-15 Ahmed AL-Taweel , Saqib Hussain , S. M. Mallikarjunaiah

It is crucial for policymakers to understand the community prevalence of COVID-19 so combative resources can be effectively allocated and prioritized during the COVID-19 pandemic. Traditionally, community prevalence has been assessed…

The COVID-19 pandemic has developed to be more than a bio-crisis as global news has reported a sharp rise in xenophobia and discrimination in both online and offline communities. Such toxic behaviors take a heavy toll on society, especially…

Social and Information Networks · Computer Science 2020-07-22 Md Rabiul Awal , Rui Cao , Sandra Mitrovic , Roy Ka-Wei Lee

Background: The COVID-19 outbreak has left many people isolated within their homes; these people are turning to social media for news and social connection, which leaves them vulnerable to believing and sharing misinformation.…