Public Attitudes Research Articles

Does it matter that an ally is democratic during crises? Public diplomacy and attitudes towards international allies in times of crisis

Abstract Can public diplomacy in times of crisis shape citizens’ attitudes towards international politics? Using a survey experiment in Italy, we evaluated whether information cues about public diplomacy efforts by the United States and China to assist the country in dealing with the COVID-19 emergency shifted the importance citizens attached to Italy’s international allies being democracies. We found that citizens who receive positive cues about USA efforts to assist Italy report a stronger preference for Italy interacting with democracies. At the same time, when they received positive cues about China’s efforts to assist Italy, they discounted the importance attached to international allies being democracies. We further found that these effects are conditional on the participants’ support for democracy at home. We argue that these findings are consistent with a cognitive dissonance framework where citizens update their attitudes to decrease dissonant cognitions when they receive information that challenges prior beliefs or expectations.

General public knowledge, attitudes, and practices about rabies and associated factors in Gomma district of Jimma zone, southwestern Ethiopia.

Rabies is a disease of warm-blooded animals that affects the central nervous system and is almost invariably fatal once clinical signs develop. It is one of the most neglected tropical diseases in several areas of the world, including Ethiopia. Additionally, the burden of the disease is estimated to be high in Ethiopia, and public awareness contributes to prevention. A community-based cross-sectional study design was conducted from June-August 2023 in the Gomma district, Jimma zone, Oromia regional state, Ethiopia, to assess the knowledge, attitudes, and practices of communities towards rabies and associated risk factors using a structured questionnaire survey. A multi-stage sampling technique was used for the selection of the sampling units and a total of 140 participants were interviewed. The questionnaire parts included socio-demographics information, knowledge, attitudes, and practices of the community's respect for rabies management and control. The data was analyzed by Statistical Package for Social Science (SPSS) Version 20. Descriptive analyses were employed and multivariable logistic regression was used to calculate the association between independent and dependent variables (Knowledge, Attitudes, and Practice scores). About 134 (95.7%) respondents had heard about rabies. Likewise, 75 (53.6%), 55 (39.3%), and 95 (67.9%) of the respondents had good knowledge, favorable attitudes, and good practices, respectively. Christians were more likely to have higher knowledge scores than Muslims (AOR = 6.876, CI = 1.750-27.016, p = 0.006). Respondents who knew someone's exposure had a higher knowledge score than those who did not (AOR = 6.208, CI = 2.750-14.012, p = 0.000). Moreover, Muslims were found to have a more favorable attitudes than Christians (AOR = 5.518, CI = 1.199-25.391, p = 0.028). Those who knew someone's exposure to rabies were found to have a more favorable attitudes than those who did not (AOR = 2.367, CI = 1.157-4.839, p = 0.018). Respondents who had favorable attitudes towards rabies were found to have more good practices than unfavorable attitudes (AOR = 3.267, CI = 1.391, 7.730, p = 0.005). The study revealed a gap in knowledge among communities in the study area. Thus, rabies control activity and community awareness should be implemented with stakeholders.

Use of large language models as a scalable approach to understanding public health discourse.

Online public health discourse is becoming more and more important in shaping public health dynamics. Large Language Models (LLMs) offer a scalable solution for analysing the vast amounts of unstructured text found on online platforms. Here, we explore the effectiveness of Large Language Models (LLMs), including GPT models and open-source alternatives, for extracting public stances towards vaccination from social media posts. Using an expert-annotated dataset of social media posts related to vaccination, we applied various LLMs and a rule-based sentiment analysis tool to classify the stance towards vaccination. We assessed the accuracy of these methods through comparisons with expert annotations and annotations obtained through crowdsourcing. Our results demonstrate that few-shot prompting of best-in-class LLMs are the best performing methods, and that all alternatives have significant risks of substantial misclassification. The study highlights the potential of LLMs as a scalable tool for public health professionals to quickly gauge public opinion on health policies and interventions, offering an efficient alternative to traditional data analysis methods. With the continuous advancement in LLM development, the integration of these models into public health surveillance systems could substantially improve our ability to monitor and respond to changing public health attitudes.

Just another tool in their repertoire: uncovering insights into public and patient perspectives on clinicians' use of machine learning in perioperative care.

Successful implementation of machine learning-augmented clinical decision support systems (ML-CDSS) in perioperative care requires the prioritization of patient-centric approaches to ensure alignment with societal expectations. We assessed general public and surgical patient attitudes and perspectives on ML-CDSS use in perioperative care. A sequential explanatory study was conducted. Stage 1 collected public opinions through a survey. Stage 2 ascertained surgical patients' experiences and attitudes via focus groups and interviews. For Stage 1, a total of 281 respondents' (140 males [49.8%]) data were considered. Among participants without ML awareness, males were almost three times more likely than females to report more acceptance (OR = 2.97; 95% CI, 1.36-6.49) and embrace (OR = 2.74; 95% CI, 1.23-6.09) of ML-CDSS use by perioperative teams. Males were almost twice as likely as females to report more acceptance across all perioperative phases with ORs ranging from 1.71 to 2.07. In Stage 2, insights from 10 surgical patients revealed unanimous agreement that ML-CDSS should primarily serve a supportive function. The pre- and post-operative phases were identified explicitly as forums where ML-CDSS can enhance care delivery. Patients requested for education on ML-CDSS's role in their care to be disseminated by surgeons across multiple platforms. The general public and surgical patients are receptive to ML-CDSS use throughout their perioperative care provided its role is auxiliary to perioperative teams. However, the integration of ML-CDSS into perioperative workflows presents unique challenges for healthcare settings. Insights from this study can inform strategies to support large-scale implementation and adoption of ML-CDSS by patients in all perioperative phases. Key strategies to promote the feasibility and acceptability of ML-CDSS include clinician-led discussions about ML-CDSS's role in perioperative care, established metrics to evaluate the clinical utility of ML-CDSS, and patient education.

Examining the impact of personalization and carefulness in AI-generated health advice: Trust, adoption, and insights in online healthcare consultations experiments

Artificial intelligence (AI) technologies, exemplified by health chatbots, are transforming the healthcare industry. Their widespread application has the potential to enhance decision-making efficiency, improve the quality of healthcare services, and reduce medical costs. While there is ongoing discussion about the opportunities and challenges brought by AI, more needs to be known about the public's attitude towards its use in the healthcare domain. Understanding public attitudes can help policymakers better grasp their needs and involve them in making decisions that benefit both technological development and social welfare. Therefore, this study presents evidence from two between-subjects experiments. This study aims to compare the public's adoption and trust levels in health advice provided by human vs. AI doctors and explore the potential effects of personalization and carefulness on the public's attitudes. Experimental designs adopt a trust-centered, cognitively and emotionally balanced perspective to study the public's intention to adopt AI. In Experiment 1, the experimental conditions involve the types of decision-makers providing online consultation advice, either AI or human doctors. In Experiment 2, the experimental conditions involve varying levels of perceived personalization and carefulness (high vs. low). A total of 734 participants took part in the study. They were randomly assigned to one of the intervention conditions and responded to manipulation checks after reading the materials. Using a seven-point Likert-type scale, participants rated their cognitive and emotional trust levels and intention to adopt the advice. Partial Least Squares Structural Equation Modeling (PLS-SEM) is conducted to estimate the proposed theoretical perspective. Qualitative interviews on both real-world and AI-generated treatment recommendations further enriched the understanding of public perceptions.The results show that AI-generated advice is generally slightly less trusted and adopted by the public. However, a noticeable inclination towards AI-generated advice emerges when AI demonstrates proficiency in understanding individuals' health conditions and providing empathetic consultations. Further analyses confirm the mediating influence of emotional trust between cognitive trust and adoption intention. These findings provide deeper insights into the process of adoption and trust formation. Moreover, they offer guidance to digital healthcare providers, empowering them with the knowledge to co-design AI implementation strategies that cater to the public's expectations.

Public and health care provider attitudes, understanding, and behaviors regarding emergency use authorizations: a scoping literature review

BackgroundUnder Sect. 564 of the Federal Food, Drug, and Cosmetic Act, when the US Department of Health and Human Services Secretary issues a declaration based on one of four types of determinations, FDA may authorize an unapproved product or unapproved uses of an approved product for emergency use. It is unclear how much the public and health care providers understand about emergency use authorizations and how that understanding influences perceptions or behavioral intentions. The current study aimed to explore consumer and health care provider perceptions of emergency use authorizations and how promotion of emergency use authorizations has been investigated in the literature.MethodsWe conducted a scoping review via PubMed, Embase, Web of Science, and CINAHL for original research published in English from January 1, 2012, through November 10, 2022. We conducted surveillance of the literature through March 2023.ResultsWe identified 13 studies reported in 14 publications that addressed public and health care provider attitudes, understanding, and behaviors with regard to products authorized under an emergency use authorization. We did not identify any articles describing research regarding the promotion of emergency use authorization products. Findings suggest gaps in understanding of emergency use authorizations, both for the public and health care providers. Findings also suggest the public and health care providers have concerns about safety or the lack of full FDA approval that may contribute to decreased willingness to receive treatments and vaccines under an emergency use authorization.ConclusionsFuture research should explore how emergency use authorizations have been promoted and how that promotion impacts public and health care provider perceptions.

Assessment of recreational value of national Chambal sanctuary: application of individual travel cost model

Purpose This study aims to assess the recreational value of the National Chambal Sanctuary highlighting the potential benefits of conservation and the need for sustainable practices. Design/methodology/approach This study uses the Individual Travel Cost Method to evaluate the expenses of individuals visiting the National Chambal Sanctuary. Findings The study reveals that the National Chambal Sanctuary has a significant recreational value, with an average visitor value of INR 35,335.69 or USD 434 and an annual value of INR 132,473,501.81 or approximately USD 1.62m, indicating substantial economic contribution. Research limitations/implications The study's limitations may stem from data collection constraints, visitor reporting biases or other factors affecting estimates' accuracy. Future research could explore socio-economic factors or factors affecting low tourist inflow in India's protected areas (PAs). Practical implications This study suggests raising entrance fees for the National Chambal Sanctuary to ensure financial sustainability, based on its high recreational value and average consumer surplus. This has practical implications for policymakers, conservationists and the tourism industry. Social implications The study underscores the significance of protecting PAs like the National Chambal Sanctuary, suggesting that public attitudes towards biodiversity conservation can be influenced by highlighting its economic and recreational value and promoting awareness of its significance. Originality/value The study evaluates the recreational value of a wildlife sanctuary in India, offering insights into conservation's economic benefits and sustainable practices and promoting further research.

Exploring Public Emotions on Obesity During the COVID-19 Pandemic Using Sentiment Analysis and Topic Modeling: Cross-Sectional Study.

Obesity is a chronic, multifactorial, and relapsing disease, affecting people of all ages worldwide, and is directly related to multiple complications. Understanding public attitudes and perceptions toward obesity is essential for developing effective health policies, prevention strategies, and treatment approaches. This study investigated the sentiments of the general public, celebrities, and important organizations regarding obesity using social media data, specifically from Twitter (subsequently rebranded as X). The study analyzes a dataset of 53,414 tweets related to obesity posted on Twitter during the COVID-19 pandemic, from April 2019 to December 2022. Sentiment analysis was performed using the XLM-RoBERTa-base model, and topic modeling was conducted using the BERTopic library. The analysis revealed that tweets regarding obesity were predominantly negative. Spikes in Twitter activity correlated with significant political events, such as the exchange of obesity-related comments between US politicians and criticism of the United Kingdom's obesity campaign. Topic modeling identified 243 clusters representing various obesity-related topics, such as childhood obesity; the US President's obesity struggle; COVID-19 vaccinations; the UK government's obesity campaign; body shaming; racism and high obesity rates among Black American people; smoking, substance abuse, and alcohol consumption among people with obesity; environmental risk factors; and surgical treatments. Twitter serves as a valuable source for understanding obesity-related sentiments and attitudes among the public, celebrities, and influential organizations. Sentiments regarding obesity were predominantly negative. Negative portrayals of obesity by influential politicians and celebrities were shown to contribute to negative public sentiments, which can have adverse effects on public health. It is essential for public figures to be mindful of their impact on public opinion and the potential consequences of their statements.

Public attitudes towards international trade and free trade agreements in the United Kingdom

Public attitudes towards international trade and free trade agreements in the United Kingdom

Media Portrayals of Suicide's Risk and Protective Factors in Slovenia (1959 – 1999)

This study examined the historical shifts in Slovenian public attitudes towards suicide by analyzing media coverage in two major Slovenian newspapers from 1959 to 1999. We conducted a database search and analyzed 1,785 relevant articles from an initial pool of 13,042 hits. Our findings reveal that the media reported more frequently on risk factors for suicide than on protective factors across the decades. The most frequently mentioned risk factors included individual characteristics such as gender and mental health issues, with community factors becoming more prominent over time. Regarding protective factors, the focus paralleled the emphasis on individual risk factors, with interpersonal factors primarily reported in the 1960s and a growing recognition of community factors by the 1990s. This underscores a broader shift towards holistic understanding of risk and protecitve factors, with community-based approaches in suicide prevention, reflecting evolving public health paradigms.

Legal provisions on medical aid in dying encode moral intuition.

In recent decades, many jurisdictions have moved toward legalizing euthanasia and assisted suicide, alongside a near-universal increase in public acceptance of medical aid in dying. Here, we draw on a comprehensive quantitative review of current laws on assisted dying, experimental survey evidence, and four decades of time-series data to explore the relationship between these legislative transitions and change in moral attitudes. Our analyses reveal that existing laws on medical aid in dying impose a common set of eligibility restrictions, based on the patient's age, decision-making capacity, prognosis, and the nature of their illness. Fulfillment of these eligibility criteria elevates public moral approval of physician-assisted death, equally in countries with (i.e., Spain) and without (i.e., the United Kingdom) assisted dying laws. Finally, historical records of public attitudes toward euthanasia across numerous countries uncovered anticipatory growth in moral approval leading up to legalization, but no accelerated growth thereafter. Taken together, our findings suggest that the enactment of medical aid in dying laws, and their specific provisions, crystallize patterns in moral intuition.

An MFA-LCA framework for goal-oriented waste management studies: 'Zero Waste to Landfill' strategies for institutions.

Institutions such as university communities can be considered miniature versions of the larger society in which they exist. Nonetheless even though it should be easier to manage waste at an institution, their waste management (WM) programmes are typically lack an overall goal for improving environmental impact and are not optimally structured or operated. In part this is due to a lack of a framework that promotes a goal-oriented WM strategy. For instance, zero waste (ZW) to landfill studies have gained prominence in recent years, but generally there is a lack of clear guidance on how to carry out ZW strategies effectively at either, municipal or institutional levels. To fill this gap, this study aims to provide a framework that enables institutions to develop a goal-oriented WM strategy applying the principles of material flow analysis and life cycle assessment. The framework assumes that no prior data are available, and a study will therefore begin by collecting primary data followed by secondary data. The case study is presented in this article, along with the introduction of the framework, using ZW management scenarios in the Istanbul Technical University Ayazağa Campus. The results of the case study show that, it is not possible to achieve ZW to landfill on university campuses. And simply diverting waste from landfill (min 74% to max ~100%) does not necessarily lead to circularity (min 20% to max ~66%) or directly address public attitudes towards ZW goals.

Proximity to anti-fracking protests: public attitudes about disruption and hydraulic-fracturing risks

ABSTRACT Research on protest proximity and public attitudes about protests is limited. This study examines the association between proximity to anti-fracking protests, attitudes about protest disruption and perceptions about hydraulic fracturing risks. Data used to examine these associations are based on a representative sample of UK adults, some of whom reside in communities where sustained direct-action anti-fracking protests occur. Across the sample of UK residents, a decrease in proximity to anti-fracking protests is associated with an increase in perceptions that protests are disruptive. Moreover, as concerns about disruptive protests increase, perceptions that hydraulic fracturing is risky decrease. Nevertheless, perceptions of disruption and fracking risks are unrelated among a sub-sample of residents living closest to protests. These findings add to the protest proximity literature by emphasising that disruptive protests do not always detract from social movement messages.

Publics' Expectation Toward Ethical Leadership and Ethical Corporate Social Responsibility (CSR): Evidence From the U.S. and South Korea

ABSTRACTDespite continuous academic attempts to investigate the relationship between public expectations of ethical leadership and corporate social responsibility (CSR) efforts, little research has demonstrated the subliminal process of the relationship. This study focuses on the publics' power distance perceptions as a key driver to lead individuals to prioritize CSR, mediated by the expectations of corporate ethical leadership. To further understand the mechanism and the way power distance perception influences public attitudes toward CSR operations, this study suggests a theoretical model illustrating the relationships among power distance perception, expectancy of ethical leadership, expectancy of ethical CSR, and willingness to support socially responsible companies. A cross‐national survey was conducted to provide empirical evidence from the United States (U.S.) and South Korea. Given that strategic approaches of CSR prioritize meeting public expectations toward corporate social roles, this study provides meaningful implications on public relations practice and CSR scholarship by demonstrating how public expectations of corporate ethical operations are shaped and how these expectations influence the public evaluation of corporate behaviors.

Role of sociodemographic characteristics on self-stigma among young MSM living with HIV in Yogyakarta, Indonesia: A cross-sectional study.

Our study aimed to determine the role of sociodemographic characteristics on self-stigma among young men who have sex with men (MSM) living with HIV in Yogyakarta, Indonesia. This cross-sectional observational study was conducted from August-November 2022. Participants were recruited from outpatient clinics at Dr. Sardjito, Yogyakarta, Indonesia. The Indonesian version of the Berger HIV Stigma Scale measured self-stigma. The statistical analysis utilized a 95% confidence level and determined significance by p-values <0.05. 72 young MSM were enrolled and completed questionnaires assessing sociodemographic and self-stigma. The average self-stigma score was 98.97. Education level was significantly associated with severe self-stigma in the bivariate analysis (p < .05). In the multivariate analysis, those with higher levels of education were significantly more likely to experience severe self-stigma (r = 2.938, p < .05). Employment status, family support, and education level were significantly associated with increased concerns in the disclosure, negative self-image, and public attitudes subscales (all p < .05). The results demonstrate associations between sociodemographic and self-stigma levels among young MSM living with HIV in Yogyakarta, Indonesia. Further research regarding the educational level, employment status, and family support that can influence the perception and quality of life of PLHIV may need to be carried out.

Perceptions at War: Exploring Public Attitude Formation in the Armenian-Azerbaijani Conflict

Abstract The post-2020 escalations in the Armenian-Azerbaijani conflict, culminating in the Azerbaijani military offensive of September 2023 and the subsequent mass exodus of the Armenians from Nagorno-Karabakh, once again underscored the persistent deadlock in the peace process and the failure to achieve compromise. This article aims to analyze the genesis of maximalist attitudes within Armenian and Azerbaijani societies in the years preceding the 2020 war, as well as the factors contributing to the endurance of these attitudes in the years that followed. Drawing on the analysis of maximalist attitudes formation during the interwar period (1994–2020), the research delves into the obstacles encountered by peace activists and peacebuilders in their efforts to counter dominant nationalism, alongside other challenges and structural impediments in the peacebuilding process. Finally, the study investigates the determinants that shaped the post-war attitudes in Armenia and Azerbaijan preceding the pivotal events of September 2023.

Reconsidering Public Attitudes Toward Deceased Organ Donation Registration.

Background: The aim of the current study is to understand Americans' attitudes toward deceased organ donation and to assess their level of acceptance on positions toward organ donation. Methods: In summer and winter of 2023, 2 national samples completed measures of attitudes toward donation, reported their registration status, rated positions related to donation, and provided demographic information. Results: Data from 2 samples indicated registration estimates between 50% and 57% and a significant proportion of those unregistered reported reluctance to register. The believability of national registry estimates and ratings of acceptability of 9 organ donation positions differed by registration status. Conclusion: Mass media and motor vehicles interventions seeking to increase registration rates should take into consideration individual attitudes and support toward donation may not be as strong as once thought.

How to distinguish climate sceptics, antivaxxers, and persistent sceptics: Evidence from a multi-country survey of public attitudes.

Distrust in science has been linked to scepticism over vaccines and climate change. Using data from nationally representative surveys administered in eight key countries for global efforts to mitigate climate change and COVID-19 (Australia, Brazil, China, India, Japan, South Africa, the UK and US), we find that distrust in scientists was an important predictor variable for most sceptics, who were sceptical of one issue but not both, in February 2021, when most countries had experienced their first wave of the pandemic. However, the association was significantly weaker among the segment of hardcore sceptics who were both climate sceptics and antivaxxers. We demonstrate that these individuals tended to possess many of the typical sceptic characteristics such as high distrust in social institutions and rightward political orientation, which are (collectively) suggestive of an underlying sceptic mindset rather than a specific distrust of scientists. Our results suggest that different types of sceptics necessitate different strategies to dispel scepticism.

Comparative analysis of data protection regulations in East African countries

Purpose Protection of personal data is integral to the digital economy, ensuring trust and privacy as its foundational elements. The purpose of this study is to analyze data protection laws in Tanzania, Kenya, Uganda and Rwanda to understand their legal frameworks and identify challenges hindering their effective implementation. Design/methodology/approach This study uses a comparative exploratory case study approach, analyzing legal frameworks of four East African (EA) countries through examination of legal documents, official reports and academic articles. The dimensions of analysis include registration, supervisory authority, data subject rights and cross-border data transfer regulations. Findings While all four EA countries are in the process of enacting data protection acts, they differ in scope, provisions and enforcement; more needs to be done to ensure mature data protection in these countries. The commonalities and distinctions in the legal frameworks are underscored, providing a mapping of data protection regulations in the EA region. Moreover, this study reports implementation constraints and areas for improvement. Practical implications The findings of this study provide valuable insights for policymakers, highlighting areas where data protection regulations can be improved. The results of this study can guide harmonizing regional data protection laws, ensuring consistent and effective enforcement. This study offers a foundation for future policy development and regional cooperation on data protection issues. Social implications The social implications of this research lie in its potential to shape public attitudes on data protection and privacy rights. By highlighting these concerns, this study may influence societal norms and values, encouraging a more informed and conscientious public discourse on inclusive policies that consider the diverse needs of different regional populations. Originality/value This study provides a pioneering comparative analysis of data protection regulations across four EA countries, offering unique insights into the regional variations and commonalities in legal frameworks. Its value lies in informing future policy development, enhancing regional cooperation and contributing to the harmonization of data protection practices in the selected EA countries, which remains an under-explored area in existing literature.

Pope Francis as an influential leader? How papal statements affect public attitudes toward anti-poverty measures

Abstract Pope Francis has been very active in the public debate on several key social and political issues, gaining a role that foregoes the sphere of religiosity and morality. Overall, he has been perceived by the media and the general public as a leftist figure and even a modernizer. Nonetheless, little is known about the influence of Pope Francis' positions on public opinion, especially beyond the climate change issue and outside the US context. In this regard, this paper contributes to the analysis of the Francis effect on public support for poverty alleviation measures. By employing a survey experiment carried out in Italy, we therefore tested whether the papal endorsement of an anti-poverty measure during the COVID-19 pandemic affected people's support for it. The results highlighted a generalized Francis effect among the Italian public. In addition, trust in the Pope and leftist political orientation substantially enhanced this effect, while the same only partially applies to individual religiosity.