Modeling the public attitude towards organic foods: a big data and text mining approach

This study aims to identify the topics that users post on Twitter about organic foods and to analyze the emotion-based sentiment of those tweets. The study addresses a call for an application of big data and text mining in different fields of research, as well as proposes more objective research methods in studies on food consumption. There is a growing interest in understanding consumer choices for foods which are caused by the predominant contribution of the food industry to climate change. So far, customer attitudes towards organic food have been studied mostly with self-reported methods, such as questionnaires and interviews, which have many limitations. Therefore, in the present study, we used big data and text mining techniques as more objective methods to analyze the public attitude about organic foods. A total of 43,724 Twitter posts were extracted with streaming Application Programming Interface (API). Latent Dirichlet Allocation (LDA) algorithm was applied for topic modeling. A test of topic significance was performed to evaluate the quality of the topics. Public sentiment was analyzed based on the NRC emotion lexicon by utilizing Syuzhet package. Topic modeling results showed that people discuss on variety of themes related to organic foods such as plant-based diet, saving the planet, organic farming and standardization, authenticity, and food delivery, etc. Sentiment analysis results suggest that people view organic foods positively, though there are also people who are skeptical about the claims that organic foods are natural and free from chemicals and pesticides. The study contributes to the field of consumer behavior by implementing research methods grounded in text mining and big data. The study contributes also to the advancement of research in the field of sustainable food consumption by providing a fresh perspective on public attitude toward organic foods, filling the gaps in existing literature and research.

A Pilot Study on the Satisfaction of Long-Term Care Services in Taiwan

For many developed countries and regions, long-term care is becoming an important issue due to demographic changes and an increasing willingness and need of family members to let the elderly be taken care of by non-family members. Thus, effectively managing long-term care needs has become a major societal concern. In this paper, the public attitude towards long-term care and the satisfaction of long-term care services in Taiwan are examined. First, internal consistency reliability, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are applied to delete unimportant indicators. Second, structural equation modeling (SEM) is used to determine which indicators have a statistically significant influence on the public attitude toward long-term care and on the satisfaction of long-term care services. Third, artificial neural network (ANN) is applied to understand the relative importance of the indicators in influencing the public attitude and satisfaction of long-term care services. The contribution of this study is significant because some of the factors investigated in the study should be stressed by the government or institutions to provide more satisfactory services to the elderly and their families.

A Descriptive Cross-Sectional Survey on Public Attitude Towards Nursing Profession in India

Introduction: There has been a tremendous growth in the nursing profession over the past 100 years and the attitude of the society towards it has transformed significantly. The general public attitude can be viewed as positive or negative. Though, in India, this field is not receiving its required respect, which can be determined by various factors like its low reputation in the society, no specific job description, no syllabus or subjects for different administrative fractions in nursing, no fruition of higher degrees for influential post, the governance of doctors, nor the sovereignty to the field, unattractive salary packages for nurses and so on. This study was aimed to assess the attitude of general public towards nursing profession. Methodology: A descriptive cross sectional survey on 391 samples collected all over India through snow ball sampling technique. The tool contains 10 demographic variables and the 5 point Likert scale to assess the attitude of general public. Likert scale contains 10 items with maximum score of 50. The internal consistency of the tool was 0.731 and acceptable range was 0.65 to 0.75. The data was collected by face to face contact and through mobile app (watts app and survey monkey app). The data was collected from Jan to Feb 2019. The recorded responses were coded in excel sheet and computed in SPSS-16. Result: It showed that the general public attitude was favorable towards nursing profession (Mean =38.5 ±4.844). Geographical area and member in the family is a nurse has significant association with level of attitude towards nursing profession. Conclusion: In spite of favorable attitude, still public have undesirable attitude in certain point towards this profession. People are still uncertain about gender orientation of nursing profession, duty schedule and marital life of nurses. People still believes that nursing is a female oriented profession and only female can practice nursing, and shift duty in nursing puts female nurses at risk, as well as doing nursing duty will affect marriage life. So general public need more awareness about nature, benefit, value and scope of nursing profession in order to have transparent, pure and coherent attitude towards nursing profession.

Nurses’ experiences of the causes of their lack of interest in working in psychiatric wards: a qualitative study

Background The shortage of psychiatric nurses is a major healthcare challenge. Lack of interest (LOI) contributes to the shortage of psychiatric nurses. Nonetheless, there are limited studies in this area. The present study was conducted to explore nurses’ experiences of the causes of their LOI in working in psychiatric wards. Methods This qualitative study was conducted in 2016–2019 using the content analysis approach. Participants were 27 nurses purposively recruited with maximum variation from the psychiatric wards of three referral hospitals in Iran. Data were collected via unstructured interviews and were concurrently analyzed using the conventional content analysis approach recommended by Graneheim and Lundman. Results The causes of participants’ LOI in working in psychiatric wards were grouped into three main categories, namely inadequate professional skills for psychiatric care practice, negative public attitude towards psychiatric nurses, and concerns over patients. Conclusion This study suggests that the causes of nurses’ LOI in working in psychiatric wards are not only personal, but also social and organizational. Findings help managers and authorities develop strategies to increase psychiatric nurses’ interest in working in psychiatric wards through improving their work conditions and professional knowledge and skills.

Introduction

Chapter 1 presents an overview of how the movement for marriage equality was victorious in the U.S. and why public attitudes toward marriage equality changed more than any other public attitude in American history. The chapter offers a brief explanation of the role of individuals coming out of the closet and an explanation for why national movements need to be studied with national survey data as opposed to focusing only on movement leaders. A time line of key events considers the background of public opinion support for gay rights in order to identify when attitudes began to change and which events were proximate to the change in attitudes.

An analysis of the attitudes of internet users towards the islamic financial system

In this article has been explored the attitude of Internet users toward the Islamic financial system using data from Google Trends and WorldData.AI. An attitudes towards Islamic finance, Islamic economics and Islamic banking have been compared using from Google Trends survey statistics. Also, in the WorldData. AI. source has been analyzed that the news texts on Islamic finance for the last 12 months and found that the public attitude towards Islamic finance was positive.

Public attitude as a determinant of petty corruption in Egypt: a survey study

PurposeThe aim of the study is to examine the effect of public attitude on petty corruption.Design/methodology/approachThis is a survey study on customers of a licenses providing authority (N = 390) in Cairo, Egypt. The authors use Akers social learning theory of crime and deviance and take into consideration criticisms of it. The authors control for individual and organizational level determinants that are identified by scholars as influencing people's attitudes toward corruption and which could be known through the authority customers' experiences. Because the dependent variable is binary, whether a person paid a bribe during last transaction with this authority or not, the authors use binary logistic regression.FindingsThe findings indicate that people are more likely to engage in petty corruption when they see it as acceptable, have previous petty corruption experience and when they use a mediator. Also, of those who dealt with that civil service authority during and directly after the 25th of January Revolution (N = 161) 31% reported that they did not engage in petty corruption in comparison to previous years. They referred this to a change in attitude at the time.Originality/valueThe policy implications of the research are important. Social science theories could generate cultural and policy relevant solutions for petty corruption; however, they have not been taken full advantage of. Also, experience-based country-specific corruption survey studies are important input for an effective anti-corruption policy.

Attitudes towards science during the COVID-19 pandemic: A psychological network approach

A better understanding of the public attitude towards science could be crucial to tackle the spread of mis- and disinformation related to the COVID-19 pandemic and beyond. We here contribute to this understanding by conceptualizing and analyzing the attitude toward science as a psychological network. For this analysis, we utilized data from a German probability sample (N = 1,009), the “Science Barometer”, collected during the first wave of the COVID-19 pandemic. Overall, our network analysis revealed that especially the perceived value of science for curbing the pandemic is central to the attitude towards science. Beliefs about this value are related to trust in science and trust in scientific information and to positive and negative evaluations of scientific controversy and complexity. Further, valuing common sense over science was related to seeking less scientific information on official websites, suggesting that this belief, in particular, may drive mis- and disinformation and could be a promising target for interventions. Finally, we found no evidence that seeking scientific information on social media had detrimental consequences for the attitude towards science. Implications for health communication and science communication, limitations, and future directions are discussed.

SIMILAR BUT NOT ALIKE: THE FRAMING OF COVID-19 IN INDONESIAN AND MALAYSIAN NEWSPAPERS

The COVID-19 pandemic has certainly caused havoc all over the world. Governments, healthcare personnel, and the general public are all struggling to survive the health crisis. In such calamity, the media plays an important role as it is able to impact public attitude and response towards the pandemic. Malaysia and Indonesia are two neighbouring countries that are equally affected by the pandemic. These countries share the same language and geographic location, but they have distinct populations, government systems, and ethnic identities. This study compares the news framing of Covid-19 in Malaysian and Indonesian newspapers to understand how socio-political and cultural similarities and differences affect how the health crisis is framed and presented. The Star (Malaysia) and Detik (Indonesia) were chosen to be studied in this paper, with a total of 369 news pieces obtained between 60 days after the first local COVID-19 case was discovered in the respective country. The findings suggest that the framing of Malaysian online newspapers was action-oriented, whereas the framing of Indonesian online newspapers was uncertainty-oriented. In addition, Malaysian and Indonesian internet newspapers were quick to report on the Covid-19 news. Both cited the government as their primary source and addressed risk bearers as their primary focus. This shows that despite their geographical proximities, the two countries had distinct ways of covering the pandemic.