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Related papers: Attitudes Towards Migration in a COVID-19 Context:…

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This study leverages mobile phone data for 5.4 million users to unveil the complex dynamics of internal migration and daily mobility in Santiago de Chile during the global COVID-19 pandemic, with a focus on socioeconomic differentials.…

Computers and Society · Computer Science 2023-09-22 Erick Elejalde , Leo Ferres , Víctor Navarro , Loreto Bravo , Emilio Zagheni

The concept of the mutual influence that awareness and disease may exert on each other has recently presented significant challenges. The actions individuals take to prevent contracting a disease and their level of awareness can profoundly…

Social and Information Networks · Computer Science 2025-08-07 Sara Shabani , Sahar Jafarbegloo , Sadegh Raeisi , Fakhteh Ghanbarnejad

Our society is built on a complex web of interdependencies whose effects become manifest during extraordinary events such as the COVID-19 pandemic, with shocks in one system propagating to the others to an exceptional extent. We analyzed…

Physics and Society · Physics 2020-11-04 Riccardo Gallotti , Francesco Valle , Nicola Castaldo , Pierluigi Sacco , Manlio De Domenico

We estimate the effect of the Coronavirus (Covid-19) pandemic on racial animus, as measured by Google searches and Twitter posts including a commonly used anti-Asian racial slur. Our empirical strategy exploits the plausibly exogenous…

General Economics · Economics 2020-07-06 Runjing Lu , Yanying Sheng

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.…

Social media offers a unique lens to observe large-scale, spatial-temporal patterns of users reactions toward critical events. However, social media use varies across demographics, with younger users being more prevalent compared to older…

Computers and Society · Computer Science 2023-11-30 Binbin Lina , Lei Zoua , Bo Zhao , Xiao Huang , Heng Cai , Mingzheng Yang , Bing Zhou

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

The COVID-19 pandemic has exacerbated xenophobia, particularly Sinophobia, leading to widespread discrimination against individuals of Chinese descent. Large language models (LLMs) are pre-trained deep learning models used for natural…

Computation and Language · Computer Science 2024-09-02 Chen Wang , Rohitash Chandra

Country image has a profound influence on international relations and economic development. In the worldwide outbreak of COVID-19, countries and their people display different reactions, resulting in diverse perceived images among foreign…

Computers and Society · Computer Science 2020-09-17 Huimin Chen , Zeyu Zhu , Fanchao Qi , Yining Ye , Zhiyuan Liu , Maosong Sun , Jianbin Jin

Situated in the global outbreak of COVID-19, our study enriches the discussion concerning the emergent racism and xenophobia on social media. With big data extracted from Twitter, we focus on the analysis of negative sentiment reflected in…

Social and Information Networks · Computer Science 2020-05-19 Xin Pei , Deval Mehta

While COVID-19 has impacted humans for a long time, people search the web for pandemic-related information, causing anxiety. From a theoretic perspective, previous studies have confirmed that the number of COVID-19 cases can cause negative…

Computers and Society · Computer Science 2022-11-17 Linjiang Guo , Zijian Feng , Yuxue Chi , Mingzhu Wang , Yijun Liu

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…

Social and Information Networks · Computer Science 2020-12-08 Jolin Shaynn-Ly Kwan , Kwan Hui Lim

The proliferation of online misinformation has emerged as one of the biggest threats to society. Considerable efforts have focused on building misinformation detection models, still the perils of misinformation remain abound. Mitigating…

Computation and Language · Computer Science 2024-01-19 Mohit Chandra , Anush Mattapalli , Munmun De Choudhury

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

In this paper, we collect and study Twitter communications to understand the societal impact of COVID-19 in the United States during the early days of the pandemic. With infections soaring rapidly, users took to Twitter asking people to…

Social and Information Networks · Computer Science 2020-10-30 Swaroop Gowdra Shanthakumar , Anand Seetharam , Arti Ramesh

The COVID-19 pandemic brought upon a massive wave of disinformation, exacerbating polarization in the increasingly divided landscape of online discourse. In this context, popular social media users play a major role, as they have the…

Social and Information Networks · Computer Science 2023-07-25 Giacomo De Nicola , Victor H. Tuekam Mambou , Göran Kauermann

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…

Computation and Language · Computer Science 2023-09-19 Tian Yan , Fang Liu

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 multiple temporal scales. Focusing on the Spanish…

Social and Information Networks · Computer Science 2021-10-01 Bernat Esquirol , Luce Prignano , Albert Díaz-Guilera , Emanuele Cozzo

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

With the onset of the COVID-19 pandemic, a number of public policy measures have been developed to curb the spread of the virus. However, little is known about the attitudes towards stay-at-home orders expressed on social media despite the…