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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 study aims to understand Twitter users' discourse and psychological reactions to COVID-19. We use machine learning techniques to analyze about 1.9 million Tweets (written in English) related to coronavirus collected from January 23 to…

Social and Information Networks · Computer Science 2021-01-27 Jia Xue , Junxiang Chen , Chen Chen , Chengda Zheng , Sijia Li , Tingshao Zhu

Using the frequency of keywords is a classic approach in the formal analysis of text, but has the drawback of glossing over the relationality of word meanings. Word embedding models overcome this problem by constructing a standardized and…

Computers and Society · Computer Science 2021-05-05 Dustin S. Stoltz , Marshall A. Taylor

In this work, we release COVID-Twitter-BERT (CT-BERT), a transformer-based model, pretrained on a large corpus of Twitter messages on the topic of COVID-19. Our model shows a 10-30% marginal improvement compared to its base model,…

Computation and Language · Computer Science 2020-05-18 Martin Müller , Marcel Salathé , Per E Kummervold

Language is a fundamental aspect of human societies, continuously evolving in response to various stimuli, including societal changes and intercultural interactions. Technological advancements have profoundly transformed communication, with…

The COVID-19 pandemic caused by the novel SARS-Coronavirus-2 (n-SARS-CoV-2) has impacted people's lives in unprecedented ways. During the time of the pandemic, social vloggers have used social media to actively share their opinions or…

Multimedia · Computer Science 2020-09-17 Kexin Feng , Preeti Zanwar , Amir H. Behzadan , Theodora Chaspari

Semantic change detection concerns the task of identifying words whose meaning has changed over time. The current state-of-the-art detects the level of semantic change in a word by comparing its vector representation in two distinct time…

Computation and Language · Computer Science 2020-04-29 Adam Tsakalidis , Maria Liakata

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 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

When the COVID-19 pandemic hit, much of life moved online. Platforms of all types reported surges of activity, and people remarked on the various important functions that online platforms suddenly fulfilled. However, researchers lack a…

Computers and Society · Computer Science 2023-04-24 Veniamin Veselovsky , Ashton Anderson

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

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

Word embeddings represent a transformative technology for analyzing text data in social work research, offering sophisticated tools for understanding case notes, policy documents, research literature, and other text-based materials. This…

Computation and Language · Computer Science 2024-11-12 Brian E. Perron , Kelley A. Rivenburgh , Bryan G. Victor , Zia Qi , Hui Luan

The COVID-19 pandemic is having a serious adverse impact on the lives of people across the world. COVID-19 has exacerbated community-wide depression, and has led to increased drug abuse brought about by isolation of individuals as a result…

Social and Information Networks · Computer Science 2020-11-05 Amanuel Alambo , Manas Gaur , Krishnaprasad Thirunarayan

The sharing of fake news and conspiracy theories on social media has wide-spread negative effects. By designing and applying different machine learning models, researchers have made progress in detecting fake news from text. However,…

Computation and Language · Computer Science 2022-05-03 Haoming Guo , Tianyi Huang , Huixuan Huang , Mingyue Fan , Gerald Friedland

The ongoing Coronavirus (COVID-19) pandemic highlights the inter-connectedness of our present-day globalized world. With social distancing policies in place, virtual communication has become an important source of (mis)information. As…

Social and Information Networks · Computer Science 2020-10-23 Karishma Sharma , Sungyong Seo , Chuizheng Meng , Sirisha Rambhatla , Yan Liu

A COVID-19 pandemic has already proven itself to be a global challenge. It proves how vulnerable humanity can be. It has also mobilized researchers from different sciences and different countries in the search for a way to fight this…

Information Retrieval · Computer Science 2020-04-08 Iztok Fister , Karin Fister , Iztok Fister

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

As of 2020 when the COVID-19 pandemic is full-blown on a global scale, people's need to have access to legitimate information regarding COVID-19 is more urgent than ever, especially via online media where the abundance of irrelevant…

Computation and Language · Computer Science 2020-09-15 Thai Quoc Hoang , Phuong Thu Vu

Unprecedented lockdowns at the start of the COVID-19 pandemic have drastically changed the routines of millions of people, potentially impacting important health-related behaviors. In this study, we use YouTube videos embedded in tweets…

Social and Information Networks · Computer Science 2023-05-22 Yelena Mejova , Lydia Manikonda