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相关论文: An Exploratory Study of Tweets about the SARS-CoV-…

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The COVID-19 Omicron variant, reported to be the most immune evasive variant of COVID-19, is resulting in a surge of COVID-19 cases globally. This has caused schools, colleges, and universities in different parts of the world to transition…

社会与信息网络 · 计算机科学 2022-08-17 Nirmalya Thakur

Mining and analysis of the big data of Twitter conversations have been of significant interest to the scientific community in the fields of healthcare, epidemiology, big data, data science, computer science, and their related areas, as can…

社会与信息网络 · 计算机科学 2023-12-19 Nirmalya Thakur

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

This paper describes a large global dataset on people's discourse and responses to the COVID-19 pandemic over the Twitter platform. From 28 January 2020 to 1 June 2022, we collected and processed over 252 million Twitter posts from more…

计算与语言 · 计算机科学 2022-06-28 Raj Kumar Gupta , Ajay Vishwanath , Yinping Yang

Online social media (OSM) has emerged as a prominent platform for debate on a wide range of issues. Even celebrities and public figures often share their opinions on a variety of topics through OSM platforms. One such subject that has…

社会与信息网络 · 计算机科学 2021-05-28 Rahul Goel , Rajesh Sharma

The COVID-19 epidemic has had a great impact on social media conversation, especially on sites like Twitter, which has emerged as a hub for public reaction and information sharing. This paper deals by analyzing a vast dataset of Twitter…

信息检索 · 计算机科学 2024-06-04 Nikhil Kumar Rajput , Bhavya Ahuja Grover , Vipin Kumar Rathi , Riya Bansal

The objective of the study is to examine coronavirus disease (COVID-19) related discussions, concerns, and sentiments that emerged from tweets posted by Twitter users. We analyze 4 million Twitter messages related to the COVID-19 pandemic…

社会与信息网络 · 计算机科学 2020-06-22 Jia Xue , Junxiang Chen , Ran Hu , Chen Chen , ChengDa Zheng , Xiaoqian Liu , Tingshao Zhu

The outbreak of the SARS-CoV-2 novel coronavirus (COVID-19) has been accompanied by a large amount of misleading and false information about the virus, especially on social media. During the pandemic social media gained special interest as…

社会与信息网络 · 计算机科学 2022-02-11 Guillermo Romera Rodriguez , Sanjana Gautam , Andrea Tapia

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 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

In the contemporary era, social media platforms amass an extensive volume of social data contributed by their users. In order to promptly grasp the opinions and emotional inclinations of individuals regarding a product or event, it becomes…

计算与语言 · 计算机科学 2024-06-18 Jitendra Tembhurne , Anant Agrawal , Kirtan Lakhotia

Social media plays a pivotal role in disseminating news globally and acts as a platform for people to express their opinions on various topics. A wide variety of views accompanies COVID-19 vaccination drives across the globe, often colored…

计算与语言 · 计算机科学 2021-07-21 Harshita Chopra , Aniket Vashishtha , Ridam Pal , Ashima , Ananya Tyagi , Tavpritesh Sethi

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

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

In late 2019, the gravest pandemic in a century began spreading across the world. A state of uncertainty related to what has become known as SARS-CoV-2 has since fueled conspiracy narratives on social media about the origin, transmission…

社会与信息网络 · 计算机科学 2020-09-29 Morteza Shahrezaye , Miriam Meckel , Léa Steinacker , Viktor Suter

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

The outbreak of the COVID-19 leads to a burst of information in major online social networks (OSNs). Facing this constantly changing situation, OSNs have become an essential platform for people expressing opinions and seeking…

社会与信息网络 · 计算机科学 2020-12-03 Ninghan Chen , Zhiqiang Zhong , Jun Pang

There is a new generation of emoticons, called emojis, that is increasingly being used in mobile communications and social media. In the past two years, over ten billion emojis were used on Twitter. Emojis are Unicode graphic symbols, used…

计算与语言 · 计算机科学 2015-12-09 Petra Kralj Novak , Jasmina Smailović , Borut Sluban , Igor Mozetič

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…

社会与信息网络 · 计算机科学 2021-04-20 Amin Mahmoudi , Victoria Wai-lan Yeung , Eric W. K. See-To

This study investigated and compared public sentiment related to COVID-19 vaccines expressed on two popular social media platforms, Reddit and Twitter, harvested from January 1, 2020, to March 1, 2022. To accomplish this task, we created a…

计算与语言 · 计算机科学 2022-11-29 Chad A Melton , Brianna M White , Robert L Davis , Robert A Bednarczyk , Arash Shaban-Nejad
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