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相关论文: Covid-19 Discourse on Twitter: How the Topics, Sen…

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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

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

The COVID-19 pandemic has been affecting the world dramatically ever since 2020. The minimum availability of physical interactions during the lockdown has caused more and more people to turn to online activities on social media platforms.…

社会与信息网络 · 计算机科学 2023-09-19 Cai Yang

The advent of the COVID-19 pandemic has undoubtedly affected the political scene worldwide and the introduction of new terminology and public opinions regarding the virus has further polarized partisan stances. Using a collection of tweets…

计算与语言 · 计算机科学 2025-05-12 Cindy Kim , Daniela Puchall , Jiangyi Liang , Jiwon Kim

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

During the COVID-19 pandemic, people started to discuss about pandemic-related topics on social media. On subreddit \textit{r/COVID19positive}, a number of topics are discussed or being shared, including experience of those who got a…

社会与信息网络 · 计算机科学 2021-05-05 Yuhan Liu , Yuhan Gao , Zhifan Nan , Long Chen

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

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…

物理与社会 · 物理学 2025-07-15 Ahmed AL-Taweel , Saqib Hussain , S. M. Mallikarjunaiah

Lockdown measures, implemented by governments during the initial phases of the COVID-19 pandemic to reduce physical contact and limit viral spread, imposed significant restrictions on in-person social interactions. Consequently, individuals…

社会与信息网络 · 计算机科学 2025-06-05 Kamer Cekini , Elisabetta Biondi , Chiara Boldrini , Andrea Passarella , Marco Conti

At the time of writing, the ongoing pandemic of coronavirus disease (COVID-19) has caused severe impacts on society, economy and people's daily lives. People constantly express their opinions on various aspects of the pandemic on social…

社会与信息网络 · 计算机科学 2020-06-08 Xiaoya Li , Mingxin Zhou , Jiawei Wu , Arianna Yuan , Fei Wu , Jiwei Li

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

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research discovers public sentiment amidst problematic socioeconomic consequences of the lockdown, and explores ensuing four potential sentiment…

信息检索 · 计算机科学 2020-05-25 Jim Samuel , Md. Mokhlesur Rahman , G. G. Md. Nawaz Ali , Yana Samuel , Alexander Pelaez

The COVID-19 pandemic has claimed millions of lives worldwide and elicited heightened emotions. This study examines the expression of various emotions pertaining to COVID-19 in the United States and India as manifested in over 54 million…

计算与语言 · 计算机科学 2023-03-21 Brandon Siyuan Loh , Raj Kumar Gupta , Ajay Vishwanath , Andrew Ortony , Yinping Yang

Words are malleable objects, influenced by events that are reflected in written texts. Situated in the global outbreak of COVID-19, our research aims at detecting semantic shifts in social media language triggered by the health crisis. With…

计算与语言 · 计算机科学 2021-02-17 Yanzhu Guo , Christos Xypolopoulos , Michalis Vazirgiannis

Since the onset of the COVID-19 pandemic, vaccines have been an important topic in public discourse. The discussions around vaccines are polarized as some see them as an important measure to end the pandemic, and others are hesitant or find…

计算机与社会 · 计算机科学 2022-07-26 Gabriel Lindelöf , Talayeh Aledavood , Barbara Keller

In this work, we study English-language vaccine discourse in social media posts, specifically posts on X (formerly Twitter), in seven years before the COVID-19 outbreak (2013 to 2019) and three years after the outbreak was first reported…

社会与信息网络 · 计算机科学 2025-11-24 Nikesh Gyawali , Doina Caragea , Cornelia Caragea , Saif M. Mohammad

With the outbreak of the Covid-19 virus, the activity of users on Twitter has significantly increased. Some studies have investigated the hot topics of tweets in this period; however, little attention has been paid to presenting and…

社会与信息网络 · 计算机科学 2021-10-06 Faezeh Azizi , Hamed Vahdat-Nejad , Hamideh Hajiabadi , Mohammad Hossein Khosravi

The COVID-19 pandemic has created many problems, especially in people's social lives. There has been increasing isolation and economic hardships since the beginning of the pandemic for people all over the world. Quarantines and lockdowns…

社会与信息网络 · 计算机科学 2025-12-25 Dino Husnic , Stefan Cobeli , Shweta Yadav

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…

社会与信息网络 · 计算机科学 2020-03-24 Christian E. Lopez , Malolan Vasu , Caleb Gallemore

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…

社会与信息网络 · 计算机科学 2021-03-03 Jolin Shaynn-Ly Kwan , Kwan Hui Lim