scholarly journals Feeling Like It Is Time to Reopen Now? COVID-19 New Normal Scenarios Based on Reopening Sentiment Analytics

2020 ◽  
Author(s):  
Jim Samuel ◽  
Md. Mokhlesur Rahman ◽  
G. G. Md. Nawaz Ali ◽  
Yana Samuel ◽  
Alexander Pelaez
Keyword(s):  
Mental Healthcare ◽  
State Governments ◽  
New Normal ◽  
Us Economy ◽  
Public Sentiment ◽  
Textual Data ◽  
The Us ◽  
Twitter Users ◽  
Socioeconomic Consequences ◽  
Government Corporations

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 associated scenarios. The severity and brutality of COVID-19 have led to the development of extreme feelings, and emotional and mental healthcare challenges. This research identifies emotional consequences - the presence of extreme fear, confusion and volatile sentiments, mixed along with trust and anticipation. It is necessary to gauge dominant public sentiment trends for effective decisions and policies. This study analyzes public sentiment using Twitter Data, time-aligned to COVID-19, to identify dominant sentiment trends associated with the push to 'reopen' the economy. Present research uses textual analytics methodologies to analyze public sentiment support for two potential divergent scenarios - an early opening and a delayed opening, and consequences of each. Present research concludes on the basis of exploratory textual analytics and textual data visualization, that Tweets data from American Twitter users shows more trust sentiment support, than fear, for reopening the US economy. With additional validation, this could present a valuable time sensitive opportunity for state governments, the federal government, corporations and societal leaders to guide the nation into a successful new normal future.

scholarly journals Feeling Positive About Reopening? New Normal Scenarios from COVID-19 Reopen Sentiment Analytics

2020 ◽  
Author(s):  
Jim Samuel ◽  
Md. Mokhlesur Rahman ◽  
G.G.M.N. Ali ◽  
Y. Samuel ◽  
A. Pelaez ◽  
...  
Keyword(s):  
Mental Healthcare ◽  
State Governments ◽  
New Normal ◽  
Us Economy ◽  
Public Sentiment ◽  
Textual Data ◽  
The Us ◽  
Twitter Users ◽  
Research Stream ◽  
Socioeconomic Consequences

The Coronavirus pandemic has created complex challenges and adverse circumstances. This research identifies public sentiment amidst problematic socioeconomic consequences of the lockdown, and explores ensuing four potential sentiment associated scenarios. The severity and brutality of COVID-19 have led to the development of extreme feelings, and emotional and mental healthcare challenges. This research focuses on emotional consequences - the presence of extreme fear, confusion and volatile sentiments, mixed along with trust and anticipation. It is necessary to gauge dominant public sentiment trends for effective decisions and policies. This study analyzes public sentiment using Twitter Data, time-aligned to the COVID-19 reopening debate, to identify dominant sentiment trends associated with the push to 'reopen' the economy. Present research uses textual analytics methodologies to analyze public sentiment support for two potential divergent scenarios - an early opening and a delayed opening, and consequences of each. Present research concludes on the basis of exploratory textual analytics and textual data visualization, that Tweets data from American Twitter users shows more positive sentiment support, than negative, for reopening the US economy. This research develops a novel sentiment polarity based four scenarios framework, which will remain useful for future crisis analysis, well beyond COVID-19. With additional validation, this research stream could present valuable time sensitive opportunities for state governments, the federal government, corporations and societal leaders to guide local and regional communities, and the nation into a successful new normal future.

scholarly journals Feeling Positive About Reopening? New Normal Scenarios from COVID-19 Reopen Sentiment Analytics

2020 ◽  
Author(s):  
Jim Samuel ◽  
Md. Mokhlesur Rahman ◽  
G. G. Md. Nawaz Ali ◽  
Yana Samuel ◽  
Alexander Pelaez ◽  
...  
Keyword(s):  
Mental Healthcare ◽  
State Governments ◽  
New Normal ◽  
Us Economy ◽  
Public Sentiment ◽  
Textual Data ◽  
The Us ◽  
Twitter Users ◽  
Research Stream ◽  
Socioeconomic Consequences

AbstractThe Coronavirus pandemic has created complex challenges and adverse circumstances. This research identifies public sentiment amidst problematic socioeconomic consequences of the lockdown, and explores ensuing four potential sentiment associated scenarios. The severity and brutality of COVID-19 have led to the development of extreme feelings, and emotional and mental healthcare challenges. This research focuses on emotional consequences - the presence of extreme fear, confusion and volatile sentiments, mixed along with trust and anticipation. It is necessary to gauge dominant public sentiment trends for effective decisions and policies. This study analyzes public sentiment using Twitter Data, time-aligned to the COVID-19 reopening debate, to identify dominant sentiment trends associated with the push to ‘reopen’ the economy. Present research uses textual analytics methodologies to analyze public sentiment support for two potential divergent scenarios - an early opening and a delayed opening, and consequences of each. Present research concludes on the basis of exploratory textual analytics and textual data visualization, that Tweets data from American Twitter users shows more positive sentiment support, than negative, for reopening the US economy. This research develops a novel sentiment polarity based four scenarios framework, which will remain useful for future crisis analysis, well beyond COVID-19. With additional validation, this research stream could present valuable time sensitive opportunities for state governments, the federal government, corporations and societal leaders to guide local and regional communities, and the nation into a successful new normal future.

scholarly journals Public Perceptions about COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics

2021 ◽  
Author(s):  
G. G. Md. Nawaz Ali ◽  
Md. Mokhlesur Rahman ◽  
Md. Amjad Hossain ◽  
Md. Shahinoor Rahman ◽  
Kamal Chandra Paul ◽  
...  
Keyword(s):  
Public Policy ◽  
Temporal Dynamics ◽  
Herd Immunity ◽  
Healthcare Management ◽  
Policy Implications ◽  
Management Communication ◽  
Public Sentiment ◽  
The Us ◽  
Twitter Users ◽  
Important Time

There exists a compelling need to better understand the temporal dynamics of public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for facilitating appropriate public policy applications. Our analysis of social media data from early February of 2021 and late March of 2021 shows that in spite of overall strength of positive sentiment, and increasing numbers of Americans being fully vaccinated, negative sentiment about COVID-19 vaccines still persists among sections of people who are hesitant towards the vaccine. In this study, we performed sentiment analytics on vaccine tweets, studied changes in public sentiment over time, conducted vaccination sentiment validation using actual vaccination data from the US CDC and Household Pulse Survey (HPS), explored influence of maturity of Twitter user-accounts and generated geographic mapping of sentiments by location of Twitter users. Furthermore, we leverage the emotion polarity based Public Sentiment Scenarios (PSS) framework which was developed for COVID-19 sentiment analytics, to systematically analyze directions for public policy processes to potentially improve the administration of vaccines. Application of the PSS framework provides important time sensitive insights for state and federal government agencies and associated organizations to better implement public policy processes for healthcare management, communication, transparency, motivation and societal operational policies such as social distancing. These insights are expected to contribute to processes that can expedite the vaccination program and move closer to the cherished herd immunity goal.

Military Subsidization of Human Capital and Gender Stratification in the US Economy

2021 ◽  
pp. 048661342098262
Author(s):  
Tyler Saxon
Keyword(s):  
Human Capital ◽  
The United States ◽  
Jel Classification ◽  
Access To Higher Education ◽  
Gender Stratification ◽  
Us Economy ◽  
The Us ◽  
And Gender ◽  
Capital Development ◽  
The Military

In the United States, the military is the primary channel through which many are able to obtain supports traditionally provided by the welfare state, such as access to higher education, job training, employment, health care, and so on. However, due to the nature of the military as a highly gendered institution, these social welfare functions are not as accessible for women as they are for men. This amounts to a highly gender-biased state spending pattern that subsidizes substantially more human capital development for men than for women, effectively reinforcing women’s subordinate status in the US economy. JEL classification: B54, B52, Z13

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