English
Related papers

Related papers: Understanding Stay-at-home Attitudes through Frami…

200 papers

The novel coronavirus (COVID-19) pandemic is the most talked topic in social media platforms in 2020. People are using social media such as Twitter to express their opinion and share information on a number of issues related to the COVID-19…

Social and Information Networks · Computer Science 2020-06-02 Mohammed Emtiaz Ahmed , Md Rafiqul Islam Rabin , Farah Naz Chowdhury

The outbreak of the novel Coronavirus Disease (COVID-19) has greatly influenced people's daily lives across the globe. Emergent measures and policies (e.g., lockdown, social distancing) have been taken by governments to combat this highly…

Information Retrieval · Computer Science 2020-07-07 Hui Yin , Shuiqiao Yang , Jianxin Li

Doctors and nurses in these weeks are busy in the trenches, fighting against a new invisible enemy: Covid-19. Cities are locked down and civilians are besieged in their own homes, to prevent the spreading of the virus. War-related…

Computation and Language · Computer Science 2020-10-05 Philipp Wicke , Marianna M. Bolognesi

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…

Applications · Statistics 2023-06-05 C. Biliotti , F. J. Bargagli-Stoffi , N. Fraccaroli , M. Puliga , M. Riccaboni

Since March 2020, companies nationwide have started work from home (WFH) due to the rapid increase of confirmed COVID-19 cases in an attempt to help prevent the coronavirus from spreading and rescue the economy from the pandemic. Many…

Social and Information Networks · Computer Science 2021-07-13 Ziyu Xiong , Pin Li , Hanjia Lyu , Jiebo Luo

Purpose: Public attitudes towards COVID-19 and social distancing are critical in reducing its spread. It is therefore important to understand public reactions and information dissemination in all major forms, including on social media. This…

Digital Libraries · Computer Science 2020-10-05 Mike Thelwall , Saheeda Thelwall

Public sentiment (the opinions, attitudes or feelings expressed by the public) is a factor of interest for government, as it directly influences the implementation of policies. Given the unprecedented nature of the COVID-19 crisis, having…

Social and Information Networks · Computer Science 2020-12-23 Shihan Wang , Marijn Schraagen , Erik Tjong Kim Sang , Mehdi Dastani

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…

Social and Information Networks · Computer Science 2021-06-29 Xupin Zhang , Hanjia Lyu , Jiebo Luo

During the outbreak of the COVID-19 pandemic, social networks become the preeminent medium for communication, social discussion, and entertainment. Social network users are regularly expressing their opinions about the impacts of the…

Social and Information Networks · Computer Science 2021-03-25 Eldor Abdukhamidov , Firuz Juraev , Mohammed Abuhamad , Tamer AbuHmed

The novel coronavirus pandemic continues to ravage communities across the US. Opinion surveys identified importance of political ideology in shaping perceptions of the pandemic and compliance with preventive measures. Here, we use social…

Social and Information Networks · Computer Science 2020-11-18 Ashwin Rao , Fred Morstatter , Minda Hu , Emily Chen , Keith Burghardt , Emilio Ferrara , Kristina Lerman

The words we use to talk about the current epidemiological crisis on social media can inform us on how we are conceptualizing the pandemic and how we are reacting to its development. This paper provides an extensive explorative analysis of…

Computation and Language · Computer Science 2021-03-17 Philipp Wicke , Marianna M. Bolognesi

We construct a novel database containing hundreds of thousands geotagged messages related to the COVID-19 pandemic sent on Twitter. We create a daily index of social distancing -- at the state level -- to capture social distancing beliefs…

Social and Information Networks · Computer Science 2021-06-09 Simon Porcher , Thomas Renault

In this paper, we study the moral framing of political content on Twitter. Specifically, we examine differences in moral framing in two datasets: (i) tweets from US-based politicians annotated with political affiliation and (ii) COVID-19…

Social and Information Networks · Computer Science 2023-06-28 Markus Reiter-Haas , Simone Kopeinik , Elisabeth Lex

We describe the design process and the challenges we met during a rapid multi-disciplinary pandemic project related to stay-at-home orders and social media moral frames. Unlike our typical design experience, we had to handle a steeper…

Human-Computer Interaction · Computer Science 2023-08-29 Andrew Wentzel , Lauren Levine , Vipul Dhariwal , Zahra Fatemi , Barbara Di Eugenio , Andrew Rojecki , Elena Zheleva , G. Elisabeta Marai

We propose a novel approach to assess the public's coping behavior during the COVID-19 outbreak by examining the emotions. Specifically, we explore (1) changes in the public's emotions with the COVID-19 crisis progression and (2) the…

Social and Information Networks · Computer Science 2024-09-18 Smitha Muthya Sudheendra , Hao Xu , Jisu Huh , Jaideep Srivastava

The COVID-19 pandemic has upended daily life around the globe, posing a threat to public health. Intuitively, we expect that surging cases and deaths would lead to fear, distress and other negative emotions. However, using state-of-the-art…

Social and Information Networks · Computer Science 2023-04-06 Siyi Guo , Keith Burghardt , Ashwin Rao , Kristina Lerman

The new coronavirus outbreak has been officially declared a global pandemic by the World Health Organization. To grapple with the rapid spread of this ongoing pandemic, most countries have banned indoor and outdoor gatherings and ordered…

Social and Information Networks · Computer Science 2022-09-14 Jean Marie Tshimula , Belkacem Chikhaoui , Shengrui Wang

As the COVID-19 pandemic swept over the world, people discussed facts, expressed opinions, and shared sentiments on social media. Since the reaction to COVID-19 in different locations may be tied to local cases, government regulations,…

Social and Information Networks · Computer Science 2022-01-07 Yunhe Feng , Wenjun Zhou

Affective polarization, the emotional divide between ideological groups marked by in-group love and out-group hate, has intensified in the United States, driving contentious issues like masking and lockdowns during the COVID-19 pandemic.…

Social and Information Networks · Computer Science 2024-12-20 Buddhika Nettasinghe , Ashwin Rao , Bohan Jiang , Allon Percus , Kristina Lerman

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…

Information Retrieval · Computer Science 2020-05-25 Jim Samuel , Md. Mokhlesur Rahman , G. G. Md. Nawaz Ali , Yana Samuel , Alexander Pelaez
‹ Prev 1 2 3 10 Next ›