中文
相关论文

相关论文: Understanding Public Sentiments, Opinions and Topi…

200 篇论文

COVID-19 represents the most severe global crisis to date whose public conversation can be studied in real time. To do so, we use a data set of over 350 million tweets and retweets posted by over 26 million English speaking Twitter users…

社会与信息网络 · 计算机科学 2021-09-14 Francesco Durazzi , Martin Müller , Marcel Salathé , Daniel Remondini

Research into COVID-19 has been rapidly evolving since the onset of the pandemic. This occasionally results in contradictory recommendations by credible sources of scientific opinion, public health authorities, and medical professionals. In…

社会与信息网络 · 计算机科学 2024-03-15 Salwa Alamir , Armineh Nourbakhsh , Cecilia Tilli , Sameena Shah , Manuela Veloso

We study the causal effects of lockdown measures on uncertainty and sentiment on Twitter. To this end, we exploit the quasi-experimental framework created by the first COVID-19 lockdown in a high-income economy--the unexpected Italian…

应用统计 · 统计学 2023-06-05 C. Biliotti , F. J. Bargagli-Stoffi , N. Fraccaroli , M. Puliga , M. Riccaboni

The emergence of global health crises, such as COVID-19 and Monkeypox (mpox), has underscored the importance of understanding public sentiment to inform effective public health strategies. This study conducts a comparative sentiment…

计算与语言 · 计算机科学 2025-07-11 Mostafa Mohaimen Akand Faisal , Rabeya Amin Jhuma , Jamini Jasim

The COVID-19 pandemic has developed to be more than a bio-crisis as global news has reported a sharp rise in xenophobia and discrimination in both online and offline communities. Such toxic behaviors take a heavy toll on society, especially…

社会与信息网络 · 计算机科学 2020-07-22 Md Rabiul Awal , Rui Cao , Sandra Mitrovic , Roy Ka-Wei Lee

Online social media provides a channel for monitoring people's social behaviors and their mental distress. Due to the restrictions imposed by COVID-19 people are increasingly using online social networks to express their feelings.…

Administering COVID-19 vaccines at a societal scale has been deemed as the most appropriate way to defend against the COVID-19 pandemic. This global vaccination drive naturally fueled a possibility of Pro-Vaxxers and Anti-Vaxxers strongly…

社会与信息网络 · 计算机科学 2021-11-23 Soham Poddar , Mainack Mondal , Janardan Misra , Niloy Ganguly , Saptarshi Ghosh

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

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…

计算机与社会 · 计算机科学 2023-04-24 Veniamin Veselovsky , Ashton Anderson

Recently, the pandemic of the novel Coronavirus Disease-2019 (COVID-19) has presented governments with ultimate challenges. In the United States, the country with the highest confirmed COVID-19 infection cases, a nationwide social…

社会与信息网络 · 计算机科学 2020-04-22 Viet Duong , Phu Pham , Tongyu Yang , Yu Wang , Jiebo Luo

The COVID-19 pandemic has been a global health crisis playing out in the age of social media. Even though the virtual environment makes interaction possible regardless of physical location, many of the most pressing issues during the…

社会与信息网络 · 计算机科学 2022-10-14 Katherine Van Koevering , Yiquan Hong , Jon Kleinberg

COVID-19 poses disproportionate mental health consequences to the public during different phases of the pandemic. We use a computational approach to capture the specific aspects that trigger an online community's anxiety about the pandemic…

计算机与社会 · 计算机科学 2022-09-29 Lucia L. Chen , Steven R. Wilson , Sophie Lohmann , Daniela V. Negraia

The exposure and consumption of information during epidemic outbreaks may alter risk perception, trigger behavioural changes, and ultimately affect the evolution of the disease. It is thus of the uttermost importance to map information…

社会与信息网络 · 计算机科学 2020-06-12 Nicolò Gozzi , Michele Tizzani , Michele Starnini , Fabio Ciulla , Daniela Paolotti , André Panisson , Nicola Perra

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

To track online emotional expressions of the Austrian population close to real-time during the COVID-19 pandemic, we build a self-updating monitor of emotion dynamics using digital traces from three different data sources. This enables…

计算机与社会 · 计算机科学 2020-06-22 Max Pellert , Jana Lasser , Hannah Metzler , David Garcia

Topic modelling with innovative deep learning methods has gained interest for a wide range of applications that includes COVID-19. Topic modelling can provide, psychological, social and cultural insights for understanding human behaviour in…

机器学习 · 计算机科学 2023-03-02 Janhavi Lande , Arti Pillay , Rohitash Chandra

The global spread of COVID-19 has caused pandemics to be widely discussed. This is evident in the large number of scientific articles and the amount of user-generated content on social media. This paper aims to compare academic…

数字图书馆 · 计算机科学 2021-04-13 Qingqing Zhou , Chengzhi Zhang

With the onset of COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption. In this scoping review, we selected and examined peer-reviewed empirical studies…

社会与信息网络 · 计算机科学 2021-02-26 Shu-Feng Tsao , Helen Chen , Therese Tisseverasinghe , Yang Yang , Lianghua Li , Zahid A. Butt

The COVID-19 pandemic brought about an extraordinary rate of scientific papers on the topic that were discussed among the general public, although often in biased or misinformed ways. In this paper, we present a mixed-methods analysis aimed…

计算机与社会 · 计算机科学 2024-06-11 Alexandros Efstratiou , Marina Efstratiou , Satrio Yudhoatmojo , Jeremy Blackburn , Emiliano De Cristofaro

The COVID-19 pandemic has changed the ways many people use computational systems. We conducted an empirical study, using qualitative and quantitative analyses of free-response surveys completed by 62 US residents, to explore how COVID-19…

人机交互 · 计算机科学 2021-01-20 Bill Tomlinson , Rebecca W. Black