scholarly journals Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter Posts

2021 ◽  
Vol 12 ◽  
Author(s):  
Alessandro N. Vargas ◽  
Alexander Maier ◽  
Marcos B. R. Vallim ◽  
Juan M. Banda ◽  
Victor M. Preciado
Keyword(s):  
Vaccination Campaign ◽  
Careful Analysis ◽  
Psychological Traits ◽  
Negative Perception ◽  
The People ◽  
The Usa ◽  
Media Platform ◽  
Twitter Users ◽  
The Uk ◽  
Made In

The COVID-19 pandemic hit hard society, strongly affecting the emotions of the people and wellbeing. It is difficult to measure how the pandemic has affected the sentiment of the people, not to mention how people responded to the dramatic events that took place during the pandemic. This study contributes to this discussion by showing that the negative perception of the people of the COVID-19 pandemic is dropping. By negative perception, we mean the number of negative words the users of Twitter, a social media platform, employ in their online posts. Seen as aggregate, Twitter users are using less and less negative words as the pandemic evolves. The conclusion that the negative perception is dropping comes from a careful analysis we made in the contents of the COVID-19 Twitter chatter dataset, a comprehensive database accounting for more than 1 billion posts generated during the pandemic. We explore why the negativity of the people decreases, making connections with psychological traits such as psychophysical numbing, reappraisal, suppression, and resilience. In particular, we show that the negative perception decreased intensively when the vaccination campaign started in the USA, Canada, and the UK and has remained to decrease steadily since then. This finding led us to conclude that vaccination plays a key role in dropping the negativity of the people, thus promoting their psychological wellbeing.

Analysis and visualization of COVID-19 discourse on Twitter using data science: a case study of the USA, the UK and India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Haider Ilyas ◽  
Ahmed Anwar ◽  
Ussama Yaqub ◽  
Zamil Alzamil ◽  
Deniz Appelbaum
Keyword(s):  
Data Science ◽  
Supervised Machine Learning ◽  
Content Type ◽  
The Public ◽  
Public Sentiment ◽  
The People ◽  
The Usa ◽  
Using Data ◽  
The Uk

Purpose This paper aims to understand, examine and interpret the main concerns and emotions of the people regarding COVID-19 pandemic in the UK, the USA and India using Data Science measures. Design/methodology/approach This study implements unsupervised and supervised machine learning methods, i.e. topic modeling and sentiment analysis on Twitter data for extracting the topics of discussion and calculating public sentiment. Findings Governments and policymakers remained the focus of public discussion on Twitter during the first three months of the pandemic. Overall, public sentiment toward the pandemic remained neutral except for the USA. Originality/value This paper proposes a Data Science-based approach to better understand the public topics of concern during the COVID-19 pandemic.

scholarly journals A Ciência da Informação e a COVID-19: análise de sentimentos dos usuários no twitter

2020 ◽  
pp. 3-9
Author(s):  
Isaac Newton Cesarino da Nóbrega Alves ◽  
André Luiz Dias de França ◽  
Dulce Elizabeth Lima de Sousa e Silva
Keyword(s):  
Social Media ◽  
Social Isolation ◽  
Daily Routine ◽  
Negative Feeling ◽  
Exploratory Research ◽  
Social Media Platform ◽  
R Language ◽  
The People ◽  
Media Platform ◽  
Twitter Users

This is an exploratory research with a quantitative approach which purpose is observing the levels of sentiment polarity of Twitter users during social isolation. The R Language was used toapply the Text Mining and Sentiment Analysis in a corpus that, treated and structured, was built by tweets associated with the COVID-19 theme. The results obtained reveal that, globally, the people manifested a more positive rather than negative feeling towards their daily routine in the mentioned social media platform.

scholarly journals Analysis of Delayed Vaccination Regimens: A Mathematical Modeling Approach

Epidemiologia ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 271-293
Author(s):  
Gilberto Gonzalez-Parra
Keyword(s):  
Optimal Strategy ◽  
Vaccination Campaign ◽  
Policy Issue ◽  
Vaccination Programs ◽  
Supply And Distribution ◽  
The Usa ◽  
People First ◽  
The Uk ◽  
Vaccination Campaigns ◽  
The Impact

The first round of vaccination against coronavirus disease 2019 (COVID-19) began in early December of 2020 in a few countries. There are several vaccines, and each has a different efficacy and mechanism of action. Several countries, for example, the United Kingdom and the USA, have been able to develop consistent vaccination programs where a great percentage of the population has been vaccinated (May 2021). However, in other countries, a low percentage of the population has been vaccinated due to constraints related to vaccine supply and distribution capacity. Countries such as the USA and the UK have implemented different vaccination strategies, and some scholars have been debating the optimal strategy for vaccine campaigns. This problem is complex due to the great number of variables that affect the relevant outcomes. In this article, we study the impact of different vaccination regimens on main health outcomes such as deaths, hospitalizations, and the number of infected. We develop a mathematical model of COVID-19 transmission to focus on this important health policy issue. Thus, we are able to identify the optimal strategy regarding vaccination campaigns. We find that for vaccines with high efficacy (>70%) after the first dose, the optimal strategy is to delay inoculation with the second dose. On the other hand, for a low first dose vaccine efficacy, it is better to use the standard vaccination regimen of 4 weeks between doses. Thus, under the delayed second dose option, a campaign focus on generating a certain immunity in as great a number of people as fast as possible is preferable to having an almost perfect immunity in fewer people first. Therefore, based on these results, we suggest that the UK implemented a better vaccination campaign than that in the USA with regard to time between doses. The results presented here provide scientific guidelines for other countries where vaccination campaigns are just starting, or the percentage of vaccinated people is small.

Sosyal medyada Suriye’li sığınmacılara yönelik algı: bir sözlük değerlendirmesi

2017 ◽  
Vol 4 (2) ◽  
pp. 185-200 ◽  
Author(s):  
Servet Kardeş ◽  
Çağla Banko ◽  
Berrin Akman
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Content Analysis ◽  
Syrian Refugees ◽  
Analysis Method ◽  
Social Media Platform ◽  
Content Analysis Method ◽  
Negative News ◽  
Media Platform ◽  
Made In

Bu araştırmada sığınmacılara yönelik paylaşımların yapıldığı sosyal medyada yer alan sözlüklerden birinde sığınmacılara yönelik algıya bakılmıştır. Yöntem olarak nitel desende olan bu çalışmada, bir sosyal medya sitesinde yer alan paylaşımlar içerik analizi yoluyla derinlemesine incelenip yorumlanmıştır. Araştırmanın sonucunda sosyal medya kullanıcılarının sığınmacıları büyük bir güvensizlik ortamı ve huzursuzluk yaratan bireyler olarak gördükleri saptanmış, sığınmacılarla yaşanan deneyimlerin ve medyadaki haberlerin bu düşüncelerin oluşmasında etkisinin olduğu belirlenmiştir. Bunun yanında sosyal medya kullanıcılarının devletin sığınmacılar konusunda yanlış politika izlediğini düşündükleri ve sığınmacılar için etkili bir planlama yapılmadığını ifade ettikleri görülmüştür. Çalışmanın sonuçları doğrultusunda medyada sığınmacılar hakkında çıkan haberlerde olumsuz ve şiddet temalı haberlerin azaltılması, Suriyeli sığınmacıların durumu, sahip oldukları haklar ve topluma yansımaları hakkında doğru ve bilgilendirici kamu spotları hazırlanması ayrıca sığınmacıların topluma entegre olma sürecinin her basamağında daha planlı ve etkili bir yol izlenmesi önerilebilir.ABSTRACT IN ENGLISHPerceptions about Syrian refugees on social media: an evaluation of a social media platformIn this research, posts which are about Syrian refugees were published in a social media platform, called as “sözlük” were investigated. The research is a qualitative research. The posts in this platform are analyzed with content analysis method. According to results of analyses, social media users see Syrian refugees as people who create an insecure and a restless environment. The experiences people had with them and news have an effect on this view. In addition, social media users think that government made inappropriate policies and ineffective plans about Syrian refugees. It is suggested negative news about Syrian refugees should be decreased and government should make safer policies. In addition, adaptation of refugees to society should be made in more planned and effective way.

An early mainstream economist from Hungary: István Varga (1897–1962)

2003 ◽  
Vol 53 (2) ◽  
pp. 195-213 ◽  
Author(s):  
K. Majoros
Keyword(s):  
Austrian Economic ◽  
National Income ◽  
Anglo Saxon ◽  
Turbulent Times ◽  
The Usa ◽  
New Ideas ◽  
Modern Economic ◽  
The Uk ◽  
Economic Thinking ◽  
Lasting Influence

The study introduces a Hungarian economic thinker, István Varga*, whose valuable activity has remained unexplored up to now. He became an economic thinker during the 1920s, in a country that had not long before become independent of Austria. The role played by Austria in the modern economic thinking of that time was a form of competition with the thought adhered to by the UK and the USA. Hungarian economists mainly interpreted and commented on German and Austrian theories, reasons for this being that, for example, the majority of Hungarian economists had studied at German and Austrian universities, while at Hungarian universities principally German and Austrian economic theories were taught. István Varga was familiar not only with contemporary German economics but with the new ideas of Anglo-Saxon economics as well — and he introduced these ideas into Hungarian economic thinking. He lived and worked in turbulent times, and historians have only been able to appreciate his activity in a limited manner. The work of this excellent economist has all but been forgotten, although he was of international stature. After a brief summary of Varga’s profile the study will demonstrate the lasting influence he has had in four areas — namely, business cycle research and national income estimations, the 1946 Hungarian stabilisation program, corporate profit, and consumption economics — and will go on to summarise his most important achievements.

Neurosurgical activity during COVID-19 pandemic: an experts' opinion from China, South Korea, Italy, the USA, Colombia, and the UK

2020 ◽  
Vol 64 (4) ◽  
Author(s):  
Marco M. Fontanella ◽  
Giorgio Saraceno ◽  
Ting Lei ◽  
Joshua B. Bederson ◽  
Namkyu You ◽  
...  
Keyword(s):  
South Korea ◽  
The Usa ◽  
The Uk

Need of Human Rights as a Better Way of Life

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 72-83
Author(s):  
Tushar Kadian
Keyword(s):  
Human Rights ◽  
Basic Needs ◽  
Research Paper ◽  
Human Being ◽  
Way Of Life ◽  
Labour Unions ◽  
The People ◽  
The Subject ◽  
Definition Of ◽  
Made In

Actually, basic needs postulates securing of the elementary conditions of existence to every human being. Despite of the practical and theoretical importance of the subject the greatest irony is non- availability of any universal preliminary definition of the concept of basic needs. Moreover, this becomes the reason for unpredictability of various political programmes aiming at providing basic needs to the people. The shift is necessary for development of this or any other conception. No labour reforms could be made in history till labours were treated as objects. Its only after they were started being treating as subjects, labour unions were allowed to represent themselves in strategy formulations that labour reforms could become a reality. The present research paper highlights the basic needs of Human Rights in life.

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