Search results

This article aims to examine the COVID-19 pandemic management system in Bangladesh and the role played by various bureaucratic leaders both at national and local levels. Particularly, attention is paid to the interface between the health sector and administrative leaders. The role played by front-line public servants and their superiors are also examined. Also, an attempt is made to encapsulate lessons learned from the crisis and the ways to prepare for the next one.

This study is based on secondary data and observation by the author as well as insights from the author's 36 years of experience in the Bangladesh bureaucracy. Administrative leadership is conceptualized as bureaucrats appointed to administrative positions and discharging administrative duties both at the national and local levels.

A disfunctionality in the COVID-19 management system is observed, which is a direct consequence of the administrative leaders' preference for leading from behind. Some structural constraints in the system are also uncovered.

It draws on observations, experiences and insights from the author's long association with the Bangladesh administrative system. Its intended users are researchers and practitioners of public leadership.

The main purpose of this study is to assess the prevalence of COVID-19 vaccine hesitancy among the general population in Bangladesh and the role of misinformation in this process.

An online survey was conducted to assess COVID-19 vaccine hesitancy among ordinary citizens. In addition to demographic and vaccine-related information, a five-point Likert scale was used to measure vaccine-related misinformation beliefs and how to counter them. Chi-square tests were used to examine the relationship between demographic variables and vaccine acceptance. A binary logistic regression analysis was conducted to identify vaccine hesitancy by different demographic groups. Nonparametric Mann–Whitney and Kruskal–Wallis tests were performed to determine the significance of difference between demographic groups in terms of their vaccine-related misinformation beliefs. Finally, the total misinformation score was computed to examine the correlation between vaccine hesitancy and the total score.

This study found that nearly half of the respondents were willing to receive COVID-19 vaccine, whereas more than one third of the participants were unsure about taking the vaccine. Demographic variables (e.g., gender, age and education) were found to be significantly related to COVID-19 vaccine acceptance. The results of binary logistic regression analysis showed that respondents who were below 40 years of age, females and those who had lower education attainments had significantly higher odds of vaccine hesitancy. There were significant differences in participants’ vaccine-related misinformation beliefs based on their demographic characteristics, particularly in the case of educational accomplishments. A highly significant negative correlation was found between total misinformation score and vaccine acceptance.

The survey was conducted online, and therefore, it automatically precluded non-internet users from completing the survey. Further, the number of participants from villages was relatively low. Overall, the results may not be representative of the entire population in Bangladesh.

The findings of this paper could guide government agencies and policymakers in devising appropriate strategies to counter COVID-related misinformation to reduce the level of vaccine hesitancy in Bangladesh.

To the authors’ best knowledge, this study is the first to measure the level of COVID-19 vaccine hesitancy and the influence of misinformation in this process among the general public in Bangladesh.

Drawing upon the third-person effect (TPE) theory, this study focuses on two types of misinformation countering intentions (i.e. simple correction and correction with justification). Accordingly, it aims to (1) assess the tenability of the third-person perception (TPP) in the face of misinformation on social media, (2) explore the antecedents of TPP and its relationship with individual-level misinformation countering intentions and (3) examine whether the mediating process is contingent on different social media usage conditions.

An online survey was conducted with 1,000 representative respondents recruited in Mainland China in January 2022 using quota sampling. Paired t-test, multiple linear regression and moderated mediation analysis were employed to examine the proposed hypotheses.

Results bolster the fundamental proposition of TPP that individuals perceive others as more susceptible to social media misinformation than they are. The self-other perceptual bias served as a mediator between the perceived consequence of misinformation and misinformation countering (i.e. simple correction and correction with justification) intentions. Furthermore, intensive social media users were likely to be motivated to counter social media misinformation derived from the indirect mechanism.

The findings provide further evidence for the role of TPE in explaining misinformation countering intention as prosocial and altruistic behavior rather than self-serving behavior. Practically, promising ways to combat rampant misinformation on social media include promoting the prosocial aspects and beneficial outcomes of misinformation countering efforts to others, as well as reconfiguring the strategies by impelling intensive social media users to participate in enacting countering actions

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2022-0507.

While there has been a growing call for insights on algorithms given their impact on what people encounter on social media, it remains unknown how enhanced algorithmic knowledge serves as a countermeasure to problematic information flow. To fill this gap, this study aims to investigate how algorithmic knowledge predicts people's attitudes and behaviors regarding misinformation through the lens of the third-person effect.

Four national surveys in the USA (N = 1,415), the UK (N = 1,435), South Korea (N = 1,798) and Mexico (N = 784) were conducted between April and September 2021. The survey questionnaire measured algorithmic knowledge, perceived influence of misinformation on self and others, intention to take corrective actions, support for government regulation and content moderation. Collected data were analyzed using multigroup SEM.

Results indicate that algorithmic knowledge was associated with presumed influence of misinformation on self and others to different degrees. Presumed media influence on self was a strong predictor of intention to take actions to correct misinformation, while presumed media influence on others was a strong predictor of support for government-led platform regulation and platform-led content moderation. There were nuanced but noteworthy differences in the link between presumed media influence and behavioral responses across the four countries studied.

These findings are relevant for grasping the role of algorithmic knowledge in countering rampant misinformation on social media, as well as for expanding US-centered extant literature by elucidating the distinctive views regarding social media algorithms and misinformation in four countries.

The World Wide Web is a potentially powerful channel for misinformation. Focusing upon scholarly misconduct as a source of misinformation, examines the potential impact of misinformation on the Web. Floridi has suggested three methods of countering misinformation on the Web: quality certification of information sources; limiting monopolies controlling information resources on the Web; and greater information literacy among Web users. Focus groups composed of LIS faculty and research students in Singapore discussed this topic. Members of the groups felt that there was sufficient motivation for trying to publish the results of scholarly misconduct on the Web. Group members agreed that greater information literacy was a good way to counter misinformation. They did not believe that quality certification would stop misinformation, and that there was a danger that a certifying group would become a censoring body. Focus group members said that greater plurality would decrease misinformation. Some argued that large and prestigious publishers should be welcomed on to the Web rather than opposed.

This study examined how people assess health information from AI and improve their diagnostic ability to identify health misinformation. The proposed model was designed to test a cognitive heuristic theory in misinformation discernment.

We proposed the heuristic-systematic model to assess health misinformation processing in the algorithmic context. Using the Analysis of Moment Structure (AMOS) 26 software, we tested fairness/transparency/accountability (FAccT) as constructs that influence the heuristic evaluation and systematic discernment of misinformation by users. To test moderating and mediating effects, PROCESS Macro Model 4 was used.

The effect of AI-generated misinformation on people’s perceptions of the veracity of health information may differ according to whether they process misinformation heuristically or systematically. Heuristic processing is significantly associated with the diagnosticity of misinformation. There is a greater chance that misinformation will be correctly diagnosed and checked, if misinformation aligns with users’ heuristics or is validated by the diagnosticity they perceive.

When exposed to misinformation through algorithmic recommendations, users’ perceived diagnosticity of misinformation can be predicted accurately from their understanding of normative values. This perceived diagnosticity would then positively influence the accuracy and credibility of the misinformation.

Perceived diagnosticity exerts a key role in fostering misinformation literacy, implying that improving people’s perceptions of misinformation and AI features is an efficient way to change their misinformation behavior.

Although there is broad agreement on the need to control and combat health misinformation, the magnitude of this problem remains unknown. It is essential to understand both users’ cognitive processes when it comes to identifying health misinformation and the diffusion mechanism from which such misinformation is framed and subsequently spread.

The mechanisms through which users process and spread misinformation have remained open-ended questions. This study provides theoretical insights and relevant recommendations that can make users and firms/institutions alike more resilient in protecting themselves from the detrimental impact of misinformation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0167

The purpose of this paper is to provide a swift perspective to JTF readers on the novel coronavirus outbreak that commenced in Wuhan, China in December 2019 and is currently ongoing. The study situates the current outbreak within prior pandemics and offers some directions for research and practice. Swift attention is needed to this event and the future of travel and tourism in a world where disease outbreaks and pandemics will become increasingly frequent due to increased travel and ease of access to destinations worldwide.

This paper draws from published academic research studies, as well as current media sources emerging, as the novel coronavirus situation is unfolding. In addition, the authors draw on the multidisciplinary expertise of the two authors (one based in tourism studies and the other an epidemiologist and public health expert).

This paper captures events on the novel coronavirus, as they are unfolding now, situates this in relation to the research literature on past pandemics like severe acute respiratory syndrome (SARS) and Ebola and draws some important directions to guide research and practice.

This is a viewpoint paper and offers some emerging perspectives, issues and challenges arising in relation to the current novel coronavirus outbreak. This is situated more broadly in a large research literature that has been drawn on in a very succinct manner to ground this viewpoint. Future research will need to explore the larger literature.

This viewpoint offers the following valuable implications for practice at the local level and the regional/global level: countering misinformation and xenophobia through the communication of accurate facts related to the disease in question (the novel coronavirus in this case) is essential; close collaboration and cooperation between tourism stakeholders (including service providers and destination management organizations) and public health authorities; greater responsibility by residents and tourists to seek out correct scientific facts on the disease and take sensible precautions, as well as exercise care to those suffering the adverse impacts; and global coordination and attention to vulnerable destinations is needed more concretely (recommended in crisis management and recovery studies but not well implemented yet).

As noted above under practical implications, this viewpoint identified important social implications in terms of inequities and injustices that arise during disease outbreaks like the novel coronavirus and prior outbreaks like SARS and Ebola. These range from discrimination and racism as well as inequities related to managing the impacts on vulnerable destinations whose health facilities may be far from adequate to handle such outbreaks and the challenges of misinformation among visitors and residents that indirectly or directly affect the destination.

This viewpoint is being submitted as the novel coronavirus epidemic is unfolding, and it is hoped that sharing it speedily via an open access journal will assist in better managing the research of what will continue to be an increasing future challenge for destinations and societies in a world of mobilities and increasing travel forecast.

This study aims to determine how the most sustainable brands in Italy and Spain developed communication and awareness-raising actions during the COVID-19 pandemic and whether these companies were truly involved in raising public awareness of the pandemic. The authors specifically focus on sustainable companies, as health communication is considered to be an important corporate social responsibility task.

To answer these questions, the authors have used data on the social media activity (Twitter and Instagram) of these brands in Spain and Italy, extracting the posts and associated hashtags that each of them has published throughout the pandemic to be processed using social network analysis and visualization techniques.

The detailed analysis of both the levels of activity and the content of the messages provides interesting insights into the communication models of the companies and the influence of factors such as time, country and the specific social media platform used.

The authors analyze the communication of the most sustainable businesses on social media during the pandemic, adopting a highly innovative approach. The particular originality of this study lies in the parallel analysis of two different countries that were simultaneously shaken by the pandemic in very similar circumstances. This study also presents a novel use of graphical representation tools in terms of companies’ behavior for health communication on social media.

El objetivo de esta investigación es determinar cómo las marcas reconocidas como las más sostenibles en Italia y España han desarrollado acciones de comunicación durante la pandemia del Covid-19 y si estas empresas se han involucrado realmente en la sensibilización pública de la pandemia. Nos centramos específicamente en las empresas sostenibles dado que la Comunicación en Salud se considera una tarea importante de responsabilidad social corporativa.

Para responder a estas preguntas, hemos utilizado datos de actividad en medios sociales (Twitter e Instagram) de estas marcas en España e Italia, extrayendo los posts y hashtags asociados que cada una ha publicado a lo largo de la pandemia para procesarlos usando técnicas de análisis y visualización de redes sociales.

El análisis detallado tanto de los niveles de actividad como del contenido de los mensajes permite obtener conclusiones interesantes sobre los modelos de comunicación de las empresas y la influencia de factores como el tiempo, el país y el medio social concreto utilizado.

Analizamos la comunicación realizada por las compañías más sostenibles en medios sociales durante la pandemia, adoptando un enfoque muy innovador. La particularidad de este estudio radica en el análisis paralelo de dos países diferentes que fueron sacudidos simultáneamente por la pandemia en circunstancias muy similares. Este estudio también conlleva un uso novedoso de herramientas de representación gráfica en términos del comportamiento de las empresas para Comunicación en Salud en medios sociales.

本研究的目的是确定在意大利和西班牙被认为是最可持续发展的品牌在Covid-19大流行期间是如何开展传播行动的, 以及这些公司是否真正参与了提高公众对该大流行病的认识。我们特别关注可持续发展的公司, 因为健康传播被认为是企业社会责任的一项重要任务。

为了回答这些问题, 我们使用了这些品牌在西班牙和意大利的社交媒体活动数据（Twitter和Instagram）, 提取了每个品牌在整个大流行期间发布的帖子和相关标签, 并使用社交网络分析和可视化技术进行处理。

通过对活动水平和信息内容的详细分析, 可以得出关于这些公司的传播模式以及诸如时间、国家和所使用的特定社交媒体等因素的影响的有趣结论。

我们分析了最可持续的公司在大流行期间在社交媒体上进行的传播, 采取了一种非常创新的方法。这项研究的特殊性在于对两个不同国家的平行分析, 这两个国家在非常相似的情况下同时受到大流行病的冲击。这项研究还包括在社交媒体上对公司健康传播行为的图形表示工具的新颖使用。

This conceptual paper aims to explore the current state of sustainability communication research, focusing on the challenges of communicating inconvenient truths in an era of scientific mistrust. Therefore, this study aims to (1) examine the existing research landscape in sustainability communication, (2) identify unresolved problems and challenges, and (3) propose strategies for counteract misinformation through targeted communication.

For this, the authors conducted a critical literature review and analyzed the resulting sample (n = 473 journal articles) by means of qualitative content analysis to (1) evaluate existing communication approaches dealing with the communication of sustainability's inconvenient truth, (2) identify stakeholder groups involved in sustainability communication, (3) discuss limitations of current communication approaches and (4) present recommendations on (more) effective communication strategies to address the unresolved issues in sustainability communication.

The analysis reveals that when it comes to sustainability communication and its unresolved problems, literature refers to four key stakeholder groups: (1) science deniers; (2) adaptation skeptics; (3) whitewashers and (4) world saviors. Furthermore, the analysis provides valuable insights into the complex dynamics involved in communicating sustainability, emphasizes the need for tailored approaches to engage and address the concerns of each stakeholder group, and exposes limitations in current communication methods and approaches. Accordingly, the analysis highlights the necessity of developing new theories, models and methods specific to sustainability communication to tackle its unique challenges effectively.

Like our society, communication sciences need a fundamental transformation to meet sustainability communication's new challenges induced by the necessary shift toward sustainable development.

This paper provides a comprehensive overview of the current state of sustainability communication in research, specifically addressing the challenges of effectively communicating unpleasant news in the context of scientific mistrust. It fills a gap in existing literature by examining the progress made in addressing these issues and identifying the emerging challenges that need to be addressed.