scholarly journals COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter

Vaccines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1059
Author(s):  
Amir Karami ◽  
Michael Zhu ◽  
Bailey Goldschmidt ◽  
Hannah R. Boyajieff ◽  
Mahdi M. Najafabadi
Keyword(s):  
Public Opinion ◽  
Statistical Tests ◽  
Small Scale ◽  
Success Factor ◽  
Great Opportunity ◽  
Public Response ◽  
The Public ◽  
Wide Range ◽  
Significant Difference ◽  
Negative Sentiment

The understanding of the public response to COVID-19 vaccines is the key success factor to control the COVID-19 pandemic. To understand the public response, there is a need to explore public opinion. Traditional surveys are expensive and time-consuming, address limited health topics, and obtain small-scale data. Twitter can provide a great opportunity to understand public opinion regarding COVID-19 vaccines. The current study proposes an approach using computational and human coding methods to collect and analyze a large number of tweets to provide a wider perspective on the COVID-19 vaccine. This study identifies the sentiment of tweets using a machine learning rule-based approach, discovers major topics, explores temporal trend and compares topics of negative and non-negative tweets using statistical tests, and discloses top topics of tweets having negative and non-negative sentiment. Our findings show that the negative sentiment regarding the COVID-19 vaccine had a decreasing trend between November 2020 and February 2021. We found Twitter users have discussed a wide range of topics from vaccination sites to the 2020 U.S. election between November 2020 and February 2021. The findings show that there was a significant difference between tweets having negative and non-negative sentiment regarding the weight of most topics. Our results also indicate that the negative and non-negative tweets had different topic priorities and focuses. This research illustrates that Twitter data can be used to explore public opinion regarding the COVID-19 vaccine.

scholarly journals Psychological Analysis of Jokowi’s First 100 Days and Nawacita from Text in Twitter

2018 ◽  
Vol 21 (3) ◽  
pp. 173
Author(s):  
Indro Adinugroho ◽  
Smitha Sjahputri ◽  
Judotens Budiarto ◽  
Roby Muhamad
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Human Behavior ◽  
Strategic Plan ◽  
Political Issues ◽  
Public Response ◽  
The Public ◽  
Psychological Analysis ◽  
Valence And Arousal ◽  
Negative Sentiment

In recent days, the public often uses social media such as Twitter for delivering critics; appreciation and campaign related to Government and political issues. The existence of Twitter is changing human behavior rapidly. This study aims to identify Twitter as a medium to generate public opinion concerning two political issues, the 7th Indonesian President first 100 days and public response towards his strategic plan, Nawacita. Method applied in this study is a combination of contemporary research instruments that combines technology and psychology. In this study, the authors examined conversation on Twitter by using Tracker and Algoritma Kata (AK, words algorithm). Tracker is used to collecting conversation on twitter regarding Jokowi’s first 100 days and Nawacita, whereas AK is applied to identify valence and arousal in each tweet collected by Tracker. The finding shows the domination of positive tweets in every week. However, there is a moment where the number of positive tweets was close to negative tweets. In Nawacita issue, law reformation and enforcement was the issue that has highest negative sentiment among others.

scholarly journals Citizen views on genome editing: effects of species and purpose

2021 ◽  
Author(s):  
Gesa Busch ◽  
Erin Ryan ◽  
Marina A. G. von Keyserlingk ◽  
Daniel M. Weary
Keyword(s):  
Disease Resistance ◽  
Product Quality ◽  
Genome Editing ◽  
Total Sample ◽  
Moral Foundations ◽  
Perceived Risks ◽  
Public Response ◽  
The Public ◽  
Wide Range ◽  
The Us

AbstractPublic opinion can affect the adoption of genome editing technologies. In food production, genome editing can be applied to a wide range of applications, in different species and with different purposes. This study analyzed how the public responds to five different applications of genome editing, varying the species involved and the proposed purpose of the modification. Three of the applications described the introduction of disease resistance within different species (human, plant, animal), and two targeted product quality and quantity in cattle. Online surveys in Canada, the US, Austria, Germany and Italy were carried out with a total sample size of 3698 participants. Using a between-subject design, participants were confronted with one of the five applications and asked to decide whether they considered it right or wrong. Perceived risks, benefits, and the perception of the technology as tampering with nature were surveyed and were complemented with socio-demographics and a measure of the participants’ moral foundations. In all countries, participants evaluated the application of disease resistance in humans as most right to do, followed by disease resistance in plants, and then in animals, and considered changes in product quality and quantity in cattle as least right to do. However, US and Italian participants were generally more positive toward all scenarios, and German and Austrian participants more negative. Cluster analyses identified four groups of participants: ‘strong supporters’ who saw only benefits and little risks, ‘slight supporters’ who perceived risks and valued benefits, ‘neutrals’ who showed no pronounced opinion, and ‘opponents’ who perceived higher risks and lower benefits. This research contributes to understanding public response to applications of genome editing, revealing differences that can help guide decisions related to adoption of these technologies.

scholarly journals A Threat of Farmers’ Suicide and the Opportunity in Organic Farming for Sustainable Agricultural Development in India

2019 ◽  
Vol 11 (8) ◽  
pp. 2400 ◽  
Author(s):  
Karthikeyan Mariappan ◽  
Deyi Zhou
Keyword(s):  
Organic Farming ◽  
Tamil Nadu ◽  
Agricultural Development ◽  
Small Scale ◽  
Conventional Farming ◽  
Wide Range ◽  
Significant Difference ◽  
Small Scale Farmers ◽  
The Cost ◽  
Input Cost

Agriculture is the main sources of income for humans. Likewise, agriculture is the backbone of the Indian economy. In India, Tamil Nadu regional state has a wide range of possibilities to produce all varieties of organic products due to its diverse agro-climatic condition. This research aimed to identify the economics and efficiency of organic farming, and the possibilities to reduce farmers’ suicides in the Tamil Nadu region through the organic agriculture concept. The emphasis was on farmers, producers, researchers, and marketers entering the sustainable economy through organic farming by reducing input cost and high profit in cultivation. A survey was conducted to gather data. One way analysis of variance (ANOVA) has been used to test the hypothesis regards the cost and profit of rice production. The results showed that there was a significant difference in profitability between organic and conventional farming methods. It is very transparent that organic farming is the leading concept of sustainable agricultural development with better organic manures that can improve soil fertility, better yield, less input cost and better return than conventional farming. The study suggests that by reducing the cost of cultivation and get a marginal return through organic farming method to poor and small scale farmers will reduce socio-economic problems such as farmers’ suicides in the future of Indian agriculture.

scholarly journals An assignment based on data driven journalism: a case study

2012 ◽  
Author(s):  
Vanessa Simonite
Keyword(s):  
Academic Writing ◽  
Digital Literacy ◽  
Research Question ◽  
Open Data ◽  
Data Driven ◽  
Small Scale ◽  
The Public ◽  
Wide Range ◽  
Writing Assignment

In a module designed to develop skills in presenting and evaluating statistics, students of mathematics and statistics were given an assignment asking them to research and write a piece of data driven journalism. Data driven journalism is a new phenomenon which has expanded rapidly due to the growth in open data, new visualisation tools and online reporting in newspapers, periodicals and blogs. The assignment provided students with a writing assignment that was individual, small-scale, research-based and embedded within their discipline. The students were asked to formulate a research question that could be investigated using survey data available from an electronic data archive. The result of the investigation was to be written up as a piece of data driven journalism for online publication, including a data visualisation. In addition to using discipline-based skills and written communication, the assignment required students to use research skills and digital literacy. An assignment set in the context of writing for the public extends students’ writing experience beyond the domains of discipline-based professional reports and academic writing. Data driven journalism provides opportunities to develop students’ writing alongside other skills for employment and can be used to design assessments for a wide range of disciplines.

scholarly journals Analysis of Public Opinion in Colleges and Universities Based on Wireless Web Crawler Technology in the Context of Artificial Intelligence

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
WenNing Wu ◽  
ZhengHong Deng
Keyword(s):  
Artificial Intelligence ◽  
Public Opinion ◽  
Colleges And Universities ◽  
Web Crawler ◽  
The Public ◽  
User Influence ◽  
Proposed Model ◽  
Wide Range ◽  
Different Dimensions ◽  
The Web

Wi-Fi-enabled information terminals have become enormously faster and more powerful because of this technology’s rapid advancement. As a result of this, the field of artificial intelligence (AI) was born. Artificial intelligence (AI) has been used in a wide range of societal contexts. It has had a significant impact on the realm of education. Using big data to support multistage views of every subject of opinion helps to recognize the unique characteristics of each aspect and improves social network governance’s suitability. As public opinion in colleges and universities becomes an increasingly important vehicle for expressing public opinion, this paper aims to explore the concepts of public opinion based on the web crawler and CNN (Convolutional Neural Network) model. Web crawler methodology is utilised to gather the data given by students of college and universities and mention them in different dimensions. This CNN has robust data analysis capability; this proposed model uses the CNN to analyse the public opinion. Preprocessing of data is done using the oversampling method to maximize the effect of classification. Through the association of descriptions, comprehensive utilization of image information like user influence, stances of comments, topics, time of comments, etc., to suggest guidance phenomenon for various schemes, helps to enhance the effectiveness and targeted social governance of networks. The overall experimentation was carried out in python here in which the suggested methodology was predicting the positive and negative opinion of the students over the web crawler technology with a low rate of error when compared to other existing methodology.

scholarly journals “Britain's rainforests”: engaging the public with brownfield sites for conservation in the U.K.

2021 ◽  
Vol 20 (04) ◽  
pp. A07
Author(s):  
Rosie McCallum ◽  
Margarida Sardo
Keyword(s):  
Demographic Data ◽  
Small Scale ◽  
The Public ◽  
Brownfield Sites ◽  
Staff Members ◽  
Local Schools ◽  
Wide Range

This small-scale study aims to understand what different environmental organisations are doing to engage people with brownfield sites in the U.K. Interviews with staff members from different environmental organisations found a wide range of initiatives to be in practice, including collaboration with other organisations and local schools and involving volunteer groups with maintenance of the sites. Working with volunteers and partner organisations and the management of sites were often identified as essential contributors to the success of projects. Interesting themes which arose, including the lack of demographic data and issues engaging with developers, could act as springboards for further studies.

The evolution of human trafficking messaging in the United States and its effect on public opinion

2018 ◽  
Vol 39 (2) ◽  
pp. 201-234 ◽  
Author(s):  
Tabitha Bonilla ◽  
Cecilia Hyunjung Mo
Keyword(s):  
United States ◽  
Public Opinion ◽  
Human Trafficking ◽  
Sexual Exploitation ◽  
The United States ◽  
Survey Experiment ◽  
Public Response ◽  
The Public ◽  
Security Problem ◽  
Definition Of

AbstractDespite a near unanimous agreement that human trafficking is a morally reprehensible practice, there is confusion around what qualifies as human trafficking in the United States. Adopting a mixed-method strategy, we examine how human trafficking is defined by the public; how contemporary (mis)understanding of human trafficking developed; and the public opinion consequence of this (mis)understanding. The definition of human trafficking has evolved over time to become nearly synonymous with slavery; however, we demonstrate that media and anti-trafficking organisations have been focussing their attention on the sexual exploitation of foreign women. We show that general public opinion reflects this skewed attention; the average citizen equates human trafficking with the smuggling of women for sexual slavery. Using a survey experiment, we find that shining light on other facets of human trafficking – the fact that human trafficking is a security problem and a domestic issue – can increase public response to the issue.

scholarly journals Image is Indeed Everything: An Analysis of How Americans View Leading Companies Today on the Seven Dimensions of Corporate Reputation

2021 ◽  
Vol 12 (3) ◽  
pp. 23-44
Author(s):  
David C. Wyld
Keyword(s):  
Corporate Reputation ◽  
Public Perception ◽  
Corporate Image ◽  
Substantial Part ◽  
Great Opportunity ◽  
The Public ◽  
Reputational Risk ◽  
Look Ahead ◽  
Wide Range ◽  
Managerial Implications

In today’s economy, a substantial part of the value of a consumer-facing company is tied-up in the value of its corporate image and its brand. As such, major companies today have both a great opportunity and a significant challenge at hand in managing their corporate reputations. In recent years, we have seen numerous instances of how the public perception of companies - and their brands - can be either positively or negatively impacted almost overnight by a wide range of events, social media, and more. As such, “reputational risk” is - and will continue to be - a significant managerial concern. In this study, we explore recent survey data on how the American public regards leading companies today in regard to their reputations. Using data from a major national consumer survey, we examine the seven dimensions of corporate reputation and assess how the public views the “best” and “worst” companies today on each reputational aspect. The article concludes with a look at the managerial implications of the present research and a look ahead to how further research could both deepen our understanding of consumer perceptions of corporate reputation and connect the reputation construct to actual corporate performance.

Analysis and Management of Flu Disease Public Opinion Based on Machine Learning

2021 ◽  
Vol 11 (7) ◽  
pp. 1791-1797
Author(s):  
Jie Zhang ◽  
Chao Yuan
Keyword(s):  
Public Opinion ◽  
New Media ◽  
Early Warning ◽  
Information Dissemination ◽  
Improved Genetic Algorithm ◽  
The Public ◽  
Wide Range ◽  
Short Time ◽  
Information Publishing ◽  
Transmission Speed

In the new media era, there are more ways of information dissemination, and the speed of information dissemination becomes faster. Along with it, various public opinions and rumors flood the cyberspace. As a mainstream social media information publishing platform, microblog has become the main way for netizens to obtain, disseminate and publish information. Because microblog can freely make speeches, and has a fast transmission speed and a wide range, it is easy for public opinion information to be widely disseminated in a short time. In particular, information such as rumors in public opinion can affect the network environment and social stability. Therefore, it is necessary to analyze and predict public opinion changes and to provide early warning. The literature uses the classic BP-NN (BP-NN) as the base prediction model, and uses the information published on the Sina microblog platform as a sample to analyze and predict the public opinion of influenza diseases. Due to the BP-NN’ slow convergence speed, this paper introduces an improved genetic algorithm to select the optimal parameters in the BP-NN (IGA-BP-NN), shorten the calculation time, and improve the analysis and prediction efficiency. The experiments verify that the work in this paper can provide more accurate early-warning information for the public opinion management of related departments.

The Pied Piper of Crime in America: An Analysis of the Presidents’ and Public’s Agenda on Crime

2002 ◽  
Vol 13 (2) ◽  
pp. 139-155 ◽  
Author(s):  
Willard M. Oliver
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Public Opinion ◽  
Presidential Rhetoric ◽  
Policy Area ◽  
Time Series Regression ◽  
Public Response ◽  
The Public ◽  
State Of The Union ◽  
The Impact

The theory of presidential influence over public opinion is used to predict the impact of presidential rhetoric on crime over the public’s concern for crime being “the most important problem facing the nation.” It is hypothesized that the more attention presidents give to the policy area of crime in the their State of the Union Addresses, the more concerned the public becomes with crime. Utilizing a time-series regression analysis of data collected from a content analysis of presidents’ State of the Union addresses on the Gallup Poll’s Most Important Problem series from 1946 to 1996, the analysis demonstrates that presidential mention of crime seems to elicit a public response, thus influencing public opinion of crime with a decay effect of approximately 1 year.

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