中文
相关论文

相关论文: CoronaVis: A Real-time COVID-19 Tweets Data Analyz…

200 篇论文

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

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…

数字图书馆 · 计算机科学 2020-06-11 Zhichao Fang , Rodrigo Costas

Social media data can be a very salient source of information during crises. User-generated messages provide a window into people's minds during such times, allowing us insights about their moods and opinions. Due to the vast amounts of…

社会与信息网络 · 计算机科学 2020-08-28 Anna Kruspe , Matthias Häberle , Iona Kuhn , Xiao Xiang Zhu

The outbreak of coronavirus disease 2019 (COVID-19) recently has affected human life to a great extent. Besides direct physical and economic threats, the pandemic also indirectly impact people's mental health conditions, which can be…

计算与语言 · 计算机科学 2020-06-11 Irene Li , Yixin Li , Tianxiao Li , Sergio Alvarez-Napagao , Dario Garcia-Gasulla , Toyotaro Suzumura

One of the most important incidents in the world in 2020 is the outbreak of the Coronavirus. Users on social networks publish a large number of comments about this event. These comments contain important hidden information of public opinion…

计算与语言 · 计算机科学 2021-10-06 Fatemeh Salmani , Hamed Vahdat-Nejad , Hamideh Hajiabadi

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…

社会与信息网络 · 计算机科学 2020-10-30 Swaroop Gowdra Shanthakumar , Anand Seetharam , Arti Ramesh

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

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…

社会与信息网络 · 计算机科学 2020-08-21 Rajdeep Mukherjee , Sriyash Poddar , Atharva Naik , Soham Dasgupta

The human severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2), causing the COVID-19 disease, has continued to spread all over the world. It menacingly affects not only public health and global economics but also mental health and…

社会与信息网络 · 计算机科学 2023-04-03 Qihuang Zhang , Grace Y. Yi , Li-Pang Chen , Wenqing He

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 COVID-19 pandemic has affected people's lives around the world on an unprecedented scale. We intend to investigate hoarding behaviors in response to the pandemic using large-scale social media data. First, we collect hoarding-related…

社会与信息网络 · 计算机科学 2021-06-29 Xupin Zhang , Hanjia Lyu , Jiebo Luo

Twitter is one of the popular social media platforms where people share news or reactions towards an event or topic using short text messages called "tweets". Emotion analysis in these tweets can play a vital role in understanding peoples'…

人机交互 · 计算机科学 2023-09-12 Ilya Nemtsov , MST Jasmine Jahan , Chuting Yan , Shah Rukh Humayoun

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…

计算与语言 · 计算机科学 2020-05-15 Bennett Kleinberg , Isabelle van der Vegt , Maximilian Mozes

Social media is a rich source where we can learn about people's reactions to social issues. As COVID-19 has significantly impacted on people's lives, it is essential to capture how people react to public health interventions and understand…

计算与语言 · 计算机科学 2020-07-07 Hyeju Jang , Emily Rempel , Giuseppe Carenini , Naveed Janjua

The construction and application of knowledge graphs have seen a rapid increase across many disciplines in recent years. Additionally, the problem of uncovering relationships between developments in the COVID-19 pandemic and social media…

The understanding of the public response to COVID-19 vaccines is the key success factor to control the COVID-19 pandemic. To understand the public response, there is a need to explore public opinion. Traditional surveys are expensive and…

社会与信息网络 · 计算机科学 2021-09-30 Amir Karami , Michael Zhu , Bailey Goldschmidt , Hannah R. Boyajieff , Mahdi M. Najafabadi

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…

社会与信息网络 · 计算机科学 2023-07-17 Vu Tran , Tomoko Matsui

The proliferation of online misinformation has emerged as one of the biggest threats to society. Considerable efforts have focused on building misinformation detection models, still the perils of misinformation remain abound. Mitigating…

计算与语言 · 计算机科学 2024-01-19 Mohit Chandra , Anush Mattapalli , Munmun De Choudhury

When any extraordinary event takes place in the world wide area, it is the social media that acts as the fastest carrier of the news along with the consequences dealt with that event. One can gather much information through social networks…

计算与语言 · 计算机科学 2023-08-14 Mohammad Maksood Akhter , Devpriya Kanojia

The recent COVID-19 pandemic has caused unprecedented impact across the globe. We have also witnessed millions of people with increased mental health issues, such as depression, stress, worry, fear, disgust, sadness, and anxiety, which have…

社会与信息网络 · 计算机科学 2020-07-07 Jianlong Zhou , Hamad Zogan , Shuiqiao Yang , Shoaib Jameel , Guandong Xu , Fang Chen