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Social media platforms contain abundant data that can provide comprehensive knowledge of historical and real-time events. During crisis events, the use of social media peaks, as people discuss what they have seen, heard, or felt. Previous…

社会与信息网络 · 计算机科学 2023-10-10 Rabindra Lamsal , Maria Rodriguez Read , Shanika Karunasekera

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…

计算机与社会 · 计算机科学 2021-08-19 Guangqing Chi , Junjun Yin , M. Luke Smith , Yosef Bodovski

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…

社会与信息网络 · 计算机科学 2021-04-23 Shayan Fazeli , Davina Zamanzadeh , Anaelia Ovalle , Thu Nguyen , Gilbert Gee , Majid Sarrafzadeh

When people notice something unusual, they discuss it on social media. They leave traces of their emotions via text expressions. A systematic collection, analysis, and interpretation of social media data across time and space can give…

社会与信息网络 · 计算机科学 2020-08-31 Md Abul Bashar , Richi Nayak , Thirunavukarasu Balasubramaniam

The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for…

社会与信息网络 · 计算机科学 2023-06-05 Umair Qazi , Muhammad Imran , Ferda Ofli

As the COVID-19 pandemic continues its march around the world, an unprecedented amount of open data is being generated for genetics and epidemiological research. The unparalleled rate at which many research groups around the world are…

社会与信息网络 · 计算机科学 2021-08-10 Juan M. Banda , Ramya Tekumalla , Guanyu Wang , Jingyuan Yu , Tuo Liu , Yuning Ding , Katya Artemova , Elena Tutubalina , Gerardo Chowell

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…

社会与信息网络 · 计算机科学 2020-05-22 Muhammad Saad , Muhammad Hassan , Fareed Zaffar

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…

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…

社会与信息网络 · 计算机科学 2021-01-27 Jia Xue , Junxiang Chen , Chen Chen , Chengda Zheng , Sijia Li , Tingshao Zhu

At the time of this writing, the novel coronavirus (COVID-19) pandemic outbreak has already put tremendous strain on many countries' citizens, resources and economies around the world. Social distancing measures, travel bans,…

社会与信息网络 · 计算机科学 2020-06-04 Emily Chen , Kristina Lerman , Emilio Ferrara

The severity of the coronavirus pandemic necessitates the need of effective administrative decisions. Over 4 lakh people in India succumbed to COVID-19, with over 3 crore confirmed cases, and still counting. The threat of a plausible third…

计算与语言 · 计算机科学 2021-12-30 Mayank Sethi , Ambika Sadhu , Khushbu Pahwa , Sargun Nagpal , Tavpritesh Sethi

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…

信息检索 · 计算机科学 2022-12-20 Ankita Agarwal , Preetham Salehundam , Swati Padhee , William L. Romine , Tanvi Banerjee

Social media platforms facilitate mankind a data-driven world by enabling billions of people to share their thoughts and activities ubiquitously. This huge collection of data, if analysed properly, can provide useful insights into people's…

社会与信息网络 · 计算机科学 2020-09-22 Thirunavukarasu Balasubramaniam , Richi Nayak , Md Abul Bashar

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…

社会与信息网络 · 计算机科学 2021-01-29 Hassan Dashtian , Dhiraj Murthy

As the Covid-19 outbreaks rapidly all over the world day by day and also affects the lives of million, a number of countries declared complete lock-down to check its intensity. During this lockdown period, social media plat-forms have…

计算与语言 · 计算机科学 2021-06-15 Arunava Kumar Chakraborty , Sourav Das , Anup Kumar Kolya

Due to the nature of the data and public interaction, twitter is becoming more and more useful to understand and model various events. The goal of CoronaVis is to use tweets as the information shared by the people to visualize topic…

社会与信息网络 · 计算机科学 2020-07-14 Md. Yasin Kabir , Sanjay Madria

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…

计算与语言 · 计算机科学 2021-03-02 Abdul Hameed Azeemi , Adeel Waheed

The 2019 coronavirus disease (COVID-19), emerged late December 2019 in China, is now rapidly spreading across the globe. At the time of writing this paper, the number of global confirmed cases has passed two millions and half with over…

社会与信息网络 · 计算机科学 2020-04-24 Sarah Alqurashi , Ahmad Alhindi , Eisa Alanazi

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…

社会与信息网络 · 计算机科学 2020-10-23 Karishma Sharma , Sungyong Seo , Chuizheng Meng , Sirisha Rambhatla , Yan Liu

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…

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