Search results

The study explores how economic factors influenced the coverage of COVID-19 in a privately owned commercial radio, Central Broadcasting Service (CBS), in Uganda. The station was selected mainly because it is one of the biggest radio stations in Uganda in terms of influence and audience reach. In addition, CBS is one of the few radio stations which carry elaborate news bulletins in the country. Most of the other stations put more emphasis on entertainment and only carry news as briefs. Since the liberalisation of airwaves in Uganda in 1993, a lot of research has been conducted on the performance and influence of commercial radio. However, there is little scholarship on the influence of economic factors on the coverage of health crises by commercial radio. The study employs the Critical Political Economy and Framing theories to understand how stories about COVID-19 were framed and the motivations for the identified frames. Quantitative content analysis was used for this study. The study found that the economic imperative influenced the frames chosen by reporters and editors at CBS during the coverage of COVID-19.

This paper investigates the impact of global sentiment and various coronavirus disease 2019 (COVID-19)-related media coverage news (Media-Hype index; Panic Index; Media Coverage Index, infodemic index and coronavirus statistics) on the dynamics of bitcoin returns during the COVID-19 pandemic using an asymmetric framework.

The authors use an asymmetric framework based on quantile regression (QR) and quantile-on-quantile regression.

QR results show that COVID-19 panic news negatively affects bitcoin market returns at times of extreme bearish. However, COVID-19 bullish sentiment negatively impacts bitcoin market returns during bullish market conditions. Quantile-on-quantile approach's (QQA) empirical results show that the effects of COVID-19-related news on bitcoin returns were heterogeneous, mainly negative and varied across quantiles.

The authors find some significant differences regarding the impact of news on bitcoin return dynamics compared to stock markets, suggesting the safe-haven role of bitcoin against stock during the ongoing epidemic.

The authors find some significant differences regarding the impact of news on bitcoin return dynamics compared to stock markets, suggesting the safe-haven role of bitcoin against stock during the ongoing epidemic.

This study contributes to understanding the dynamics of bitcoin returns using various COVID-19 media news.

The continuous spread of the corona virus disease 2019 (COVID-19) pandemic has generated public health concern with avalanche of information accompanied by series of fake news. Thus, this study examined the effect of Information Literacy Competency (ILC) in curtailing the spread of fake news among Library and Information Science (LIS) undergraduates in Nigeria.

Survey research design of the descriptive type was used to generate data from a group of LIS undergraduates online. The population of the study consisted of 138 LIS undergraduate students who participated in the survey (thus, n = 138). The data retrieved was subjected to descriptive analysis.

The study revealed that the students had high level of ILC (x ¯ = 3.42), and there was low prevalence level of COVID-19 pandemic fake news (x ¯ = 2.35) among them. The major causes of COVID-19 fake news were too much information in circulation concerning COVID-19 (x ¯ = 3.44) and the resultant inability to discern or spot fake news from verified and authentic news (x ¯ = 3.28). The study also revealed that ILC had a significant effect in curtailing the spread of COVID-19 fake news with a grand mean of 3.28 against the criterion mean of 2.5. It is implied that LIS undergraduates are educationally position to acquire ILC which is crucial to their identification of fake news and helps to curtail its spread.

The study is limited in its use of online group for data elicitation within a limited period of three weeks. Also, in its adoption of self-evaluation scale to measure ILC instead of standard information literacy test. Also, the high chances of social desirability bias in sections C and E serve as a limitation to the study.

The study reinforces the need to enhance structures that flags fake news on social media platforms and integrating IL into schools’ curriculum at all levels.

This study seeks to pioneer a new area of focus on the relevance of ILC to different global issues that concern the health and well-being.

This conceptual paper aims to provide a further understanding of the impact of economic policy uncertainty (EPU), news framing and information overload on panic buying behavior during the COVID-19 pandemic.

Drawing on earlier research and news releases about the COVID-19 outbreak, this paper advances testable propositions based on the protection motivation theory and information processing theory.

This paper infers that the major shift in consumer decision-making towards panic buying is a result of high EPU. International reports have contributed to deepening this uncertainty, and the consequences of this EPU are expected to affect the economic recovery through 2022. Furthermore, the adoption of particular frames of the pandemic has played a key role in the dissemination of misinformation and fake news during the public health crisis and affected purchasing decisions. The study also infers that the perceived threat among consumers is driven by information overload as a source of mistrust towards economic and health information sources.

This paper addresses two theoretical gaps associated with consumer buying behaviour. First, it highlights the impact of EPU, as a macroeconomic indicator, on consumer buying behaviour. Second, this paper is an attempt to integrate theories from different disciplines to foster an adequate understanding of buying behavior during the COVID-19 outbreak period.

This study has three main purposes: (1) to investigate the association between social media news use and misperceptions about COVID-19; (2) to explore the mediating role of homogeneous online discussion; (3) and to understand whether the extent to which one perceives themselves as media-literate could moderate the relationship.

The authors conducted an online survey and collected data through Amazon Mechanical Turk. A total of 797 participants aged 18 and above completed the survey. The average age of the respondents is 38.40 years (SD = 12.31), and 41.2% were female. In terms of party identification, 30.8% were reported leaning toward Republicans; 53.7% leaned toward Democrats, and 15.4% were reported neutral.

Results from a moderated mediation model show that social media news use is positively associated with misperceptions about the COVID-19. Moreover, homogeneous online discussion was a significant mediator of the relationship between social media news use and misperceptions about COVID-19. Further, self-perceived media literacy (SPML) significantly moderated the main and indirect effects between social media news use and COVID-19 misperceptions, such that the associations became weaker among those with higher SPML.

Findings provide insights into the significance of online information sources, discussion network heterogeneity and media literacy education. Although there have been many studies on misinformation, prior research has not examined these relationships, which may help provide solutions to cope with misinformation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2021-0305

This study developed a predictive model that established the user motivational factors that predict COVID-19 fake news sharing on social media.

The partial least squares structural equation modelling (PLS-SEM) was used for the analysis. Data were drawn from 152 Facebook and WhatsApp users in Nigeria to examine the research model formulated using the uses and gratification theory (UGT).

We found that altruism, instant news sharing, socialisation and self-promotion predicted fake news sharing related to COVID-19 pandemic among social media users in Nigeria. Specifically, altruism was the strongest predictor to fake news sharing behaviour related to COVID-19, followed by instant news sharing and socialisation. On the contrary, entertainment had no association with fake news sharing on COVID-19.

We suggest intervention strategies which nudge people to be sceptical of the information they come across on social media. We also recommend healthcare providers and the Nigerian government to provide relevant information on this current pandemic. That is, correct information should be shared widely to the public domain through various conventional and online media. This will lessen the spread of fake news on the concocted cure and prevention tips found online.

The salient contributions of this study are as follows: First, it brings to the fore that the desire for self-promotion is associated with fake news sharing on social media; second, it shifts the focus of studies on fake news from detection methods to sharing behaviour, which fuels the uncontrollable spread of falsehood; third, it expands the existing literature on misinformation sharing by demonstrating the user motivation that leads to fake news sharing using the UGT.

The objective of this study was to investigate the impacts of personality traits and the ability to detect fake news on information avoidance behavior. It also examined the effect of personality traits on the ability to detect fake news.

The sample population included Shiraz University students who were studying in the second semester of academic year 2021 in different academic levels. It consisted of 242 students of Shiraz University. The Big Five theory was used as the theoretical background of the study. Moreover, the research instrument was an electronic questionnaire consisting of the three questionnaires of the ability to detect fake news (Esmaeili et al., 2019, inspired by IFLA, 2017), the Big Five personality traits (Goldberg, 1999) and information avoidance (Howell and Shepperd, 2016). The statistical methods used to analyze the data were Pearson correlation and stepwise regression, which were performed through SPSS software (version 26).

The results showed that from among the five main personality factors, only neuroticism had a positive and significant effect on information avoidance. In addition, the ability to detect fake news had a significant negative effect on information avoidance behavior. Further analyses also showed positive and significant effects of openness to experience and extraversion on the ability to detect fake news. In fact, the former had more predictive power.

Following the Big Five theory considering COVID-19 information avoidance and the ability to detect COVID-19 fake news, this study shifted the focus from environmental factors to personality factors and personality traits. Furthermore, this study introduced the ability to detect fake news as an influential factor in health information avoidance behaviors, which can be a prelude for new research studies.

The present study applied the five main personality factors theory in the context of information avoidance behavior and the ability to detect fake news, and supported the effect of personality traits on these variables.

The purpose of this study is to analyze the topics of COVID-19 news articles for better obtaining the relationship among and the evolution of news topics, helping to manage the infodemic from a quantified perspective.

To analyze COVID-19 news articles explicitly, this paper proposes a prism architecture. Based on epidemic-related news on China Daily and CNN, this paper identifies the topics of the two news agencies, elucidates the relationship between and amongst these topics, tracks topic changes as the epidemic progresses and presents the results visually and compellingly.

The analysis results show that CNN has a more concentrated distribution of topics than China Daily, with the former focusing on government-related information, and the latter on medical. Besides, the pandemic has had a big impact on CNN and China Daily's reporting preference. The evolution analysis of news topics indicates that the dynamic changes of topics have a strong relationship with the pandemic process.

This paper offers novel perspectives to review the topics of COVID-19 news articles and provide new understandings of news articles during the initial outbreak. The analysis results expand the scope of infodemic-related studies.

The importance of effective public messages has been widely recognized during the coronavirus disease 2019 (COVID-19) pandemic. In particular, the role of news items and interpersonal conversations for the acceptance of public health measures has been highlighted. The authors propose a conceptual model based on the existing literature on how to measure the degree of persuasion of news narratives in the context of the COVID-19 pandemic.

The authors adopted a whole population approach, where the unit of analysis was the population of the media news about the COVID-19 pandemic. The authors selected a sample to develop and test their conceptual model. The sample size was n = 248. The questionnaire was distributed online using a non-probability convenience sampling plan. The authors used a pre-post pseudo-experimental design. Respondents answered questions about their attitude toward the COVID-19 pandemic. After watching a narrative news report on the same subject, they then answered questions designed to measure changes in their attitude. A structural equation model, the Sobel test and a paired samples t-test were used to test hypotheses.

The results showed that there is a significant relationship between narrative with transportation and empathy. There was also a positive and significant relationship between transportation and empathy with attitude and interpersonal talk. The relationship between transportation and self-referencing was also supported. Further, transportation and attitude mediated the relationships between narrative and interpersonal talk, self-referencing as well as empathy. A paired samples t-test revealed that attitudes were changed or reinforced before and after watching the narrative news report.

This paper contributes to the body of knowledge by identifying the outcomes of narrative persuasion during public health crises such as the COVID-19 pandemic.