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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…

Social and Information Networks · Computer Science 2020-05-22 Muhammad Saad , Muhammad Hassan , Fareed Zaffar

In this paper, we present an iterative graph-based approach for the detection of symptoms of COVID-19, the pathology of which seems to be evolving. More generally, the method can be applied to finding context-specific words and texts (e.g.…

Computation and Language · Computer Science 2020-11-10 Roshan Santosh , H. Andrew Schwartz , Johannes C. Eichstaedt , Lyle H. Ungar , Sharath C. Guntuku

We analyze data from Twitter to uncover early-warning signals of COVID-19 outbreaks in Europe in the winter season 2019-2020, before the first public announcements of local sources of infection were made. We show evidence that unexpected…

General Economics · Economics 2020-12-16 Milena Lopreite , Pietro Panzarasa , Michelangelo Puliga , Massimo Riccaboni

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

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

Social media discussion of COVID-19 provides a rich source of information into how the virus affects people's lives that is qualitatively different from traditional public health datasets. In particular, when individuals self-report their…

Computation and Language · Computer Science 2020-05-22 Curtis Murray , Lewis Mitchell , Jonathan Tuke , Mark Mackay

In this paper, we collect and study Twitter communications to understand the socio-economic impact of COVID-19 in the United States during the early days of the pandemic. Our analysis reveals that COVID-19 gripped the nation during this…

Social and Information Networks · Computer Science 2020-04-14 Swaroop Gowdra Shanthakumar , Anand Seetharam , Arti Ramesh

The coronavirus disease (COVID-19) outbreak was declared a pandemic in March 2020 and since then it has had a significant effect on all aspects of life. Although we live in an information era, we do not have accurate information about this…

Social and Information Networks · Computer Science 2021-04-20 Amin Mahmoudi , Victoria Wai-lan Yeung , Eric W. K. See-To

During the outbreak of the COVID-19 pandemic, many people shared their symptoms across Online Social Networks (OSNs) like Twitter, hoping for others' advice or moral support. Prior studies have shown that those who disclose health-related…

Social and Information Networks · Computer Science 2023-03-17 Nicolás E. Díaz Ferreyra , Gautam Kishore Shahi , Catherine Tony , Stefan Stieglitz , Riccardo Scandariato

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

The recent global outbreak of the coronavirus disease (COVID-19) has spread to all corners of the globe. The international travel ban, panic buying, and the need for self-quarantine are among the many other social challenges brought about…

Information Retrieval · Computer Science 2022-12-20 Ankita Agarwal , Preetham Salehundam , Swati Padhee , William L. Romine , Tanvi Banerjee

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

Purpose: Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This…

Digital Libraries · Computer Science 2020-10-05 Mike Thelwall , Saheeda Thelwall

The COVID-19 pandemic, which began in December 2019, progressed in a complicated manner and thus caused problems worldwide. Seeking clues to the reasons for the complicated progression is necessary but challenging in the fight against the…

Social and Information Networks · Computer Science 2023-07-17 Vu Tran , Tomoko Matsui

The sudden outbreak of COVID-19 resulted in large volumes of data shared on different social media platforms. Analyzing and visualizing these data is doubtlessly essential to having a deep understanding of the pandemic's impacts on people's…

Social and Information Networks · Computer Science 2021-06-28 Omar Abdel Wahab , Ali Mustafa , André Bertrand Abisseck Bamatakina

Non-pharmaceutical interventions (NPIs) have been crucial in curbing COVID-19 in the United States (US). Consequently, relaxing NPIs through a phased re-opening of the US amid still-high levels of COVID-19 susceptibility could lead to new…

The outbreak of covid-19 started many months ago, the reported origin was in Wuhan Market, China. Fastly, this virus was propagated to other countries because the access to international travels is affordable and many countries have a…

Computers and Society · Computer Science 2020-09-15 Josimar E. Chire-Saire

Social media platforms, such as Twitter, provide a suitable avenue for users (people or patients) concerned on health questions to discuss and share information with each other. In December 2019, a few coronavirus disease cases were first…

Social and Information Networks · Computer Science 2020-12-11 Tiago de Melo

Can public social media data be harnessed to predict COVID-19 case counts? We analyzed approximately 15 million COVID-19 related posts on Weibo, a popular Twitter-like social media platform in China, from November 1, 2019 to March 31, 2020.…

Social and Information Networks · Computer Science 2020-08-06 Cuihua Shen , Anfan Chen , Chen Luo , Jingwen Zhang , Bo Feng , Wang Liao

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
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