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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

Technology is uniquely positioned to help us analyze large amounts of information to provide valuable insight during widespread public health concerns, like the ongoing COVID-19 pandemic. In fact, information technology companies like Apple…

Computers and Society · Computer Science 2020-06-15 Jayati Dev

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

The coronavirus disease (COVID-19) continues to have devastating effects across the globe. No nation has been free from the uncertainty brought by this pandemic. The health, social and economic tolls associated with it are causing strong…

Computers and Society · Computer Science 2022-02-04 Truong Luu , Rosangela Follmann

The COVID-19 pandemic has produced a flurry of online activity on social media sites. As such, analysis of social media data during the COVID-19 pandemic can produce unique insights into discussion topics and how those topics evolve over…

Social and Information Networks · Computer Science 2020-08-05 Iain J. Cruickshank , Kathleen M. Carley

As COVID-19 quickly became one of the most concerned global crisis, the demand for data in academic research is also increasing. Currently, there are several open access Twitter datasets, but none of them is dedicated to the institutional…

Social and Information Networks · Computer Science 2020-04-07 Jingyuan Yu

The Covid-19 pandemic has fundamentally altered many facets of our lives. With nationwide lockdowns and stay-at-home advisories, conversations about the pandemic have naturally moved to social networks, e.g. Twitter. This affords an…

Social and Information Networks · Computer Science 2020-10-22 Abhijit Suprem , Calton Pu

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

COVID-19 has become one of the most widely talked about topics on social media. This research characterizes risk communication patterns by analyzing the public discourse on the novel coronavirus from four Asian countries: South Korea, Iran,…

Social and Information Networks · Computer Science 2020-08-17 Sungkyu Park , Sungwon Han , Jeongwook Kim , Mir Majid Molaie , Hoang Dieu Vu , Karandeep Singh , Jiyoung Han , Wonjae Lee , Meeyoung Cha

The words we use to talk about the current epidemiological crisis on social media can inform us on how we are conceptualizing the pandemic and how we are reacting to its development. This paper provides an extensive explorative analysis of…

Computation and Language · Computer Science 2021-03-17 Philipp Wicke , Marianna M. Bolognesi

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

Using a random 10% sample of tweets authored from 2019-09-01 through 2020-04-30, we analyze the dynamic behavior of words (1-grams) used on Twitter to describe the ongoing COVID-19 pandemic. Across 24 languages, we find two distinct dynamic…

Due to the outbreak of COVID-19, users are increasingly turning to online services. An increase in social media usage has also been observed, leading to the suspicion that this has also raised cyberbullying. In this initial work, we explore…

Social and Information Networks · Computer Science 2020-09-01 Sanchari Das , Andrew Kim , Sayar Karmakar

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 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

As the novel coronavirus spread globally, a growing public panic was expressed over the internet. We examine the public discussion concerning COVID-19 on Twitter. We use a dataset of 67 million tweets from 12 million users collected between…

Social and Information Networks · Computer Science 2020-06-09 Binxuan Huang , Kathleen M. Carley

With people moving out of physical public spaces due to containment measures to tackle the novel coronavirus (COVID-19) pandemic, online platforms become even more prominent tools to understand social discussion. Studying social media can…

Social and Information Networks · Computer Science 2020-06-03 Emilio Ferrara

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

The COVID-19 pandemic is having a dramatic impact on societies and economies around the world. With various measures of lockdowns and social distancing in place, it becomes important to understand emotional responses on a large scale. In…

Computation and Language · Computer Science 2020-05-15 Bennett Kleinberg , Isabelle van der Vegt , Maximilian Mozes

We study observed incidence of self-disclosure in a large dataset of Tweets representing user-led English-language conversation about the Coronavirus pandemic. Using an unsupervised approach to detect voluntary disclosure of personal…

Social and Information Networks · Computer Science 2020-10-13 Taylor Blose , Prasanna Umar , Anna Squicciarini , Sarah Rajtmajer