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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 outbreak of the novel Coronavirus Disease (COVID-19) has greatly influenced people's daily lives across the globe. Emergent measures and policies (e.g., lockdown, social distancing) have been taken by governments to combat this highly…

Information Retrieval · Computer Science 2020-07-07 Hui Yin , Shuiqiao Yang , Jianxin Li

Democrats and Republicans have seemed to grow apart in the past three decades. Since the United States as we know it today is undeniably bipartisan, this phenomenon would not appear as a surprise to most. However, there are triggers which…

Computers and Society · Computer Science 2020-10-30 Parth Shisode

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

Administering COVID-19 vaccines at a societal scale has been deemed as the most appropriate way to defend against the COVID-19 pandemic. This global vaccination drive naturally fueled a possibility of Pro-Vaxxers and Anti-Vaxxers strongly…

Social and Information Networks · Computer Science 2021-11-23 Soham Poddar , Mainack Mondal , Janardan Misra , Niloy Ganguly , Saptarshi Ghosh

The outbreak of COVID-19 highlights the need for a more harmonized, less privacy-concerning, easily accessible approach to monitoring the human mobility that has been proved to be associated with the viral transmission. In this study, we…

Social and Information Networks · Computer Science 2020-07-03 Xiao Huang , Zhenlong Li , Yuqin Jiang , Xiaoming Li , Dwayne Porter

The current development of vaccines for SARS-CoV-2 is unprecedented. Little is known, however, about the nuanced public opinions on the vaccines on social media. We adopt a human-guided machine learning framework using more than six million…

Social and Information Networks · Computer Science 2021-08-10 Hanjia Lyu , Junda Wang , Wei Wu , Viet Duong , Xiyang Zhang , Timothy D. Dye , Jiebo Luo

The COVID-19 pandemic has disproportionately impacted the lives of minorities, such as members of the LGBTQ community (lesbian, gay, bisexual, transgender, and queer) due to pre-existing social disadvantages and health disparities. Although…

Social and Information Networks · Computer Science 2023-05-12 Yunhao Yuan , Gaurav Verma , Barbara Keller , Talayeh Aledavood

COVID-19 has been devastating the world since the end of 2019 and has continued to play a significant role in major national and worldwide events, and consequently, the news. In its wake, it has left no life unaffected. Having earned the…

Social and Information Networks · Computer Science 2021-04-23 Shayan Fazeli , Davina Zamanzadeh , Anaelia Ovalle , Thu Nguyen , Gilbert Gee , Majid Sarrafzadeh

As a platform, Twitter has been a significant public space for discussion related to the COVID-19 pandemic. Public social media platforms such as Twitter represent important sites of engagement regarding the pandemic and these data can be…

Social and Information Networks · Computer Science 2021-01-29 Hassan Dashtian , Dhiraj Murthy

The COVID-19 pandemic has created widespread health and economical impacts, affecting millions around the world. To better understand these impacts, we present the TweetCOVID system that offers the capability to understand the public…

Social and Information Networks · Computer Science 2021-03-03 Jolin Shaynn-Ly Kwan , Kwan Hui Lim

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

The objective of this work is to explore popular discourse about the COVID-19 pandemic and policies implemented to manage it. Using Natural Language Processing, Text Mining, and Network Analysis to analyze corpus of tweets that relate to…

Social and Information Networks · Computer Science 2020-03-24 Christian E. Lopez , Malolan Vasu , Caleb Gallemore

Elected officials have privileged roles in public communication. In contrast to national politicians, whose posting content is more likely to be closely scrutinized by a robust ecosystem of nationally focused media outlets, sub-national…

Social and Information Networks · Computer Science 2024-07-24 Ahana Biswas , Yu-Ru Lin , Yuehong Cassandra Tai , Bruce A. Desmarais

COVID-19 represents the most severe global crisis to date whose public conversation can be studied in real time. To do so, we use a data set of over 350 million tweets and retweets posted by over 26 million English speaking Twitter users…

Social and Information Networks · Computer Science 2021-09-14 Francesco Durazzi , Martin Müller , Marcel Salathé , Daniel Remondini

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

By training deep neural networks on massive archives of digitized text, large language models (LLMs) learn the complex linguistic patterns that constitute historic and contemporary discourses. We argue that LLMs can serve as a valuable tool…

Computers and Society · Computer Science 2024-07-17 Austin C. Kozlowski , Hyunku Kwon , James A. Evans

At the start of 2020, COVID-19 became the most urgent threat to global public health. Uniquely in recent times, governments have imposed partly voluntary, partly compulsory restrictions on the population to slow the spread of the virus. In…

Digital Libraries · Computer Science 2020-03-26 Mike Thelwall , Saheeda Thelwall

Objectives: To assess self-reported population oral health conditions amid COVID-19 pandemic using user reports on Twitter. Method and Material: We collected oral health-related tweets during the COVID-19 pandemic from 9,104 Twitter users…

Social and Information Networks · Computer Science 2022-08-05 Yangxin Fan , Hanjia Lyu , Jin Xiao , Jiebo Luo

Epidemic disease can spread during mass gatherings. We assessed the impact on the local-area trajectory of the COVID-19 epidemic of a type of mass gathering about which comprehensive data were available. Here, we examined five types of…

Applications · Statistics 2023-06-13 Eric M. Feltham , Laura Forastiere , Marcus Alexander , Nicholas A. Christakis