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In early 2020, the virus SARS-CoV-2 evolved into a new pandemic, forcing governments worldwide to establish social distancing measures. Consequently, people had to switch to online media, such as social networks or videotelephony, to keep…

Human-Computer Interaction · Computer Science 2024-03-08 Sebastian Cmentowski , Jens Krüger

The global COVID-19 pandemic has led to the online proliferation of health-, political-, and conspiratorial-based misinformation. Understanding the reach and belief in this misinformation is vital to managing this crisis, as well as future…

Social and Information Networks · Computer Science 2021-01-29 Sophie Nightingale , Hany Farid

During the COVID-19 pandemic, conflicting opinions on physical distancing swept across social media, affecting both human behavior and the spread of COVID-19. Inspired by such phenomena, we construct a two-layer multiplex network for the…

Social and Information Networks · Computer Science 2021-07-07 Kaiyan Peng , Zheng Lu , Vanessa Lin , Michael R. Lindstrom , Christian Parkinson , Chuntian Wang , Andrea L. Bertozzi , Mason A. Porter

We study the causal effects of lockdown measures on uncertainty and sentiment on Twitter. To this end, we exploit the quasi-experimental framework created by the first COVID-19 lockdown in a high-income economy--the unexpected Italian…

Applications · Statistics 2023-06-05 C. Biliotti , F. J. Bargagli-Stoffi , N. Fraccaroli , M. Puliga , M. Riccaboni

The World Health Organization have emphasised that misinformation - spreading rapidly through social media - poses a serious threat to the COVID-19 response. Drawing from theories of health perception and cognitive load, we develop and test…

Computers and Society · Computer Science 2020-08-05 Samuli Laato , A. K. M. Najmul Islam , Muhammad Nazrul Islam , Eoin Whelan

The objective of the study is to examine coronavirus disease (COVID-19) related discussions, concerns, and sentiments that emerged from tweets posted by Twitter users. We analyze 4 million Twitter messages related to the COVID-19 pandemic…

Social and Information Networks · Computer Science 2020-06-22 Jia Xue , Junxiang Chen , Ran Hu , Chen Chen , ChengDa Zheng , Xiaoqian Liu , Tingshao Zhu

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…

Computers and Society · Computer Science 2021-08-19 Guangqing Chi , Junjun Yin , M. Luke Smith , Yosef Bodovski

This study investigates how topics and sentiments on COVID-19 mitigation measures -- specifically lockdowns, mask mandates, and vaccinations -- spread through the Belgian Reddit community. We explore 655,642 posts created between 1 January…

Social and Information Networks · Computer Science 2025-05-27 Tim Van Wesemael , Luis E. C. Rocha , Tijs W. Alleman , Jan M. Baetens

This study investigates the use of causal narratives in public social media communications by U.S. public agencies over the first fifteen months of the COVID-19 pandemic. We extract causal narratives in the form of cause/effect pairs from…

Social and Information Networks · Computer Science 2023-09-08 Sabrina Mai , Scott Leo Renshaw , Jeannette Sutton , Carter T. Butts

The novel coronavirus pandemic continues to ravage communities across the US. Opinion surveys identified importance of political ideology in shaping perceptions of the pandemic and compliance with preventive measures. Here, we use social…

Social and Information Networks · Computer Science 2020-11-18 Ashwin Rao , Fred Morstatter , Minda Hu , Emily Chen , Keith Burghardt , Emilio Ferrara , Kristina Lerman

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…

Social and Information Networks · Computer Science 2020-08-21 Rajdeep Mukherjee , Sriyash Poddar , Atharva Naik , Soham Dasgupta

This paper investigates the communication styles and structures of Twitter (X) communities within the vaccination context. While mainstream research primarily focuses on the echo-chamber phenomenon, wherein certain ideas are reinforced and…

Social and Information Networks · Computer Science 2024-03-29 Aleksandra Sorokovikova , Michael Becker , Ivan P. Yamshchikov

In spite of a growing body of scientific evidence on the effectiveness of individual face mask usage for reducing transmission rates, individual face mask usage has become a highly polarized topic within the United States. A series of…

Computers and Society · Computer Science 2020-11-17 Neil Yeung , Jonathan Lai , Jiebo Luo

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 has disrupted people's lives driving them to act in fear, anxiety, and anger, leading to worldwide racist events in the physical world and online social networks. Though there are works focusing on Sinophobia during…

Social and Information Networks · Computer Science 2021-07-27 Mohit Chandra , Manvith Reddy , Shradha Sehgal , Saurabh Gupta , Arun Balaji Buduru , Ponnurangam Kumaraguru

The moral foundations theory supports that people, across cultures, tend to consider a small number of dimensions when classifying issues on a moral basis. The data also show that the statistics of weights attributed to each moral dimension…

Physics and Society · Physics 2014-03-25 Renato Vicente , Alex Susemihl , João Pedro Jericó , Nestor Caticha

Social media platforms such as Twitter (now X) provide rich data for analyzing public discourse, especially during crises such as the COVID-19 pandemic. However, the brevity, informality, and noise of social media short texts often hinder…

Computation and Language · Computer Science 2025-10-23 Wangjiaxuan Xin , Shuhua Yin , Shi Chen , Yaorong Ge

COVID-19 has hugely changed our lives, work, and interactions with people. With more and more online activities, people are easily exposed to privacy threats. In this paper, we explore how users self-disclose on social media and privacy…

Cryptography and Security · Computer Science 2021-01-27 Jiaqi Wang

Human behavior is notoriously difficult to change, but a disruption of the magnitude of the COVID-19 pandemic has the potential to bring about long-term behavioral changes. During the pandemic, people have been forced to experience new ways…

Understanding the public sentiment and perception in a healthcare crisis is essential for developing appropriate crisis management techniques. While some studies have used Twitter data for predictive modelling during COVID-19, fine-grained…

Computation and Language · Computer Science 2021-03-02 Abdul Hameed Azeemi , Adeel Waheed
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