Search results

This study aims to investigate the current practices being implemented against the dissemination of fake online news, identify the relationship of new media literacy (NML) with fake news epidemic control and find out the challenges in identifying valid sources of information.

To accomplish constructed objectives of this study, a systematic literature review (SLR) was conducted. The authors carried out the “Preferred Reporting Items for the Systematic Review and Meta-analysis” guidelines as a research methodology. The data were retrieved from ten world’s leading digital databases and online tools. A total of 25 key studies published in impact factor (IF) journals were included for systematic review vis-à-vis standard approaches.

This study revealed trending practices to control fake news consisted of critical information literacy, civic education, new thinking patterns, fact-checkers, automatic fake news detection tools, employment of ethical norms and deep learning via neural networks. Results of the synthesized studies revealed that media literacy, web literacy, digital literation, social media literacy skills and NML assisted acted as frontline soldiers in combating the fake news war. The findings of this research also exhibited different challenges to control fake news perils.

This study provides pertinent theoretical contributions in the body of existing knowledge through the addition of valuable literature by conducting in-depth systematic review of 25 IF articles on a need-based topic.

This scholarly contribution is fruitful and practically productive for the policymakers belonging to different spectrums to effectively control web-based fake news epidemic.

This intellectual piece is a benchmark to address fake news calamities to save the social system and to educate citizens from harms of false online stories on social networking websites.

This study vivifies new vistas via a reinvigorated outlook to address fake news perils embedded in dynamic, rigorous and heuristic strategies for redefining a predetermined set of social values.

The spread of fake news represents a serious threat to consumers, companies and society. Previous studies have linked emotional arousal to an increased propensity to spread information and a decrease in people’s ability to recognize fake news. However, the effect of an individual’s emotional state on fake news sharing remains unclear, particularly during periods of severe disruptions such as pandemics. This study aims to fill the gap in the literature by elucidating how heightened emotions affect fake news sharing behavior.

To validate the conceptual model, this study uses a quantitative approach. Data were collected from 212 online questionnaires and then analyzed using the structural equation modeling technique.

Results of this study show that positive emotions have indirect effects on fake news sharing behavior by allowing users to view the quality of information circulating on social media in a more positive light, and increasing their socialization behavior leading them to share fake news. Negative emotions indirectly impact fake news sharing by affecting users’ information overload and reinforcing prior beliefs, which in turn increases fake news sharing.

This study identifies several novel associations between emotions and fake news sharing behavior and offers a theoretical lens that can be used in future studies. It also provides several practical implications on the prevention mechanism that can counteract the dissemination of fake news.

This study investigates the impact of individuals’ emotional states on fake news sharing behavior, and establishes four user-centric antecedents to this sharing behavior. By focusing on individuals’ emotional state, cognitive reaction and behavioral response, it is among the first, to the best of the authors’ knowledge, to offer a multidimensional understanding of individuals’ interaction with news that circulates on social media.

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.

During the past few years, the rise in social media use for information purposes in the absence of adequate control mechanisms has led to growing concerns about the reliability of the information in circulation and increased the presence of fake news. While this topic has recently gained researchers' attention, very little is known about users' fake news identification behavior. Hence, the purpose of this study is to understand the factors that contribute to individuals' identification of fake news on social media.

This study employs a quantitative approach and proposes a behavioral model that explores the factors influencing users' identification of fake news on social media. It relies on data collected from a sample of 211 social media users which is tested using SEM.

The findings show that expertise in social media use and verification behavior have a positive impact on fake news identification, while trust in social media as an information channel decreases this identification behavior. Furthermore, results establish the mediating role of social media information trust and verification behavior.

The present study enhances our understanding of social media users' fake news identification by presenting a behavioral model. It is one of the few that focuses on the individual and argues that by identifying the factors that reinforce users' fake news identification behavior on social media, this type of misinformation can be reduced. It offers several theoretical and practical contributions.

This paper seeks to disambiguate the phenomenon by clarifying terms, highlighting current efforts, including the importance of critical thought and awareness, and a test for genuine serendipity.

The authors review the literature, primarily from a library and information science perspective, and arrive at a theoretical framework and model.

The authors find various initiatives to fight fake news. Building upon Karlova and Fisher's (2013) model as well as research on critical thinking and serendipity, the primary contribution of the paper is a disinformation behavior framework and model. The model includes both the problem of disinformation from a creator and user perspective, as well as the solutions to fight it.

The framework will guide practitioners and researchers in library and information science and beyond, as well as other stakeholders in both understanding the phenomenon, and leading the fight against it.

The spreading of false information has become an alarming phenomenon in the last few years, leading to the popularity of terms such as misinformation, disinformation, infodemic and fake news. While information professionals have been called upon to lead the fight against fake news, in the lack of a comprehensive understanding of the phenomenon, current efforts have been isolated and inadequate. Most models of information behavior deal with information, and not misinformation or disinformation per se.

Currently, knowing where to seek for reliable information may be one of the most important human skills. Data reliability is a matter of debate. The online dissemination of information has been a field for the reproduction of fake news. International Federation of Library Associations and Institutions (IFLA) states that libraries are part of the answer to this ever-increasing problem. The purpose of the study is to investigate libraries' role in combating the fake news phenomenon.

The study was designed to record attitudes of professionals and students of library science on the libraries' role in the battle against misinformation. The study was conducted through an online survey using a questionnaire consisted of closed-ended, seven-point Likert scale questions. The data collected were subjected to a descriptive statistical analysis. The median was used to present the results. In order to perform analysis between genders, as well as age groups, the non-parametric criteria Mann–Whitney U and Kruskal–Wallis were applied to determine the existence of differences in participants' beliefs. Spearman's rank correlation test was used in order to examine whether participants' replies were interrelated.

Responses by 434 individuals were obtained. Participants highlighted primarily the educational role of libraries and agreed that the fake news phenomenon is an opportunity to promote the libraries' role in society. No clear direction was recorded in the participants' beliefs about the plethora of information and fake news as a potential threat to libraries. The respondents partly agreed that the plethora of information caused work-related emotional disorders and feeling that the respondents were not able to keep track of developments in the field. Finally, the study depicted the participants' need for training on combating fake news, information sources evaluation and recognizing predatory journals.

The study's significance lies in the following: the study contributes to the recording of professionals' as well as students of library science views about (1) libraries' role, (2) working environment and (3) training needs, concerning fake news and the overabundance of information in the digital era.

This paper aims to unify fragmented definitions of fake news and also present a comprehensive classification of the concept. Additionally, it provides an agenda for future marketing research based on the findings.

A review of 36 articles investigating fake news from 1990 to 2020 was done. In total, 615 papers were found, and the article pool was refined manually in two steps; first, articles were skimmed and scanned for nonrelated articles; second, the pool was refined based on the scope of the research.

The review resulted in a new definition and a collective classification of fake news. Also, the feature of each type of fake news, such as facticity, intention, harm and humor, is examined as well, and a definition for each type is presented.

This extensive study, to the best of the author’s knowledge, for the first time, reviews major definitions and classification on fake news.

Este artículo pretende unificar las definiciones fragmentadas de las noticias falsas y también presentar una clasificación exhaustiva del concepto. Además, ofrece una agenda para futuras investigaciones de marketing basada en los resultados.

Se realizó una revisión de 36 artículos que investigaban las noticias falsas desde 1990 hasta 2020. Se encontraron 615 artículos, y el grupo de artículos se refinó manualmente en dos pasos, primero, se descremaron los artículos y se escanearon los artículos no relacionados, segundo, el grupo se refinó basado en el alcance de la investigación.

La revisión dio como resultado una nueva definición y una clasificación colectiva de las noticias falsas. Además, se examinan las características de cada tipo de noticias falsas, como la facticidad, la intención, el daño y el humor, y se presenta una definición para cada tipo.

este amplio estudio revisa por primera vez las principales definiciones y la clasificación de las noticias falsas.

本文旨在统一假新闻的零散定义, 并对假新闻的概念进行全面的分类。此外, 它还根据本文的研究结果为未来的营销研究提供了一个议程。

对1990年至2020年期间调查假新闻的36篇文章进行了回顾。一共发现了615篇论文, 并分为两步对此文章库进行了人工提炼：首先, 对文章进行略读和扫描以找出非相关文章, 其次, 根据研究范围对文章库进行了提炼。

此次审查导致了对假新闻的新定义和集体分类。此外, 还分析了假新闻的真实性、意图、危害性、幽默性等各种类型的特征, 并给出了各种类型的定义。

此项涉及广泛假新闻内容的研究首次回顾了关于假新闻的主要定义和分类。

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 paper aims to conduct an interdisciplinary systematic literature review (SLR) of fake news research and to advance the socio-technical understanding of digital information practices and platforms in business and management studies.

The paper applies a focused, SLR method to analyze articles on fake news in business and management journals from 2010 to 2020.

The paper analyzes the definition, theoretical frameworks, methods and research gaps of fake news in the business and management domains. It also identifies some promising research opportunities for future scholars.

The paper offers practical implications for various stakeholders who are affected by or involved in fake news dissemination, such as brands, consumers and policymakers. It provides recommendations to cope with the challenges and risks of fake news.

The paper discusses the social consequences and future threats of fake news, especially in relation to social networking and social media. It calls for more awareness and responsibility from online communities to prevent and combat fake news.

The paper contributes to the literature on information management by showing the importance and consequences of fake news sharing for societies. It is among the frontier systematic reviews in the field that covers studies from different disciplines and focuses on business and management studies.

As fake news and other disinformation are spread primarily online and erode trust in experts and institutions, they challenge the role of librarians as information gatekeepers. Experts have advocated for libraries to educate the public to resist misinformation, yet libraries cannot assume sole responsibility for information literacy work. In this chapter, the authors explore several successful information literacy programs in Ukraine, whose fake news problems made global headlines in 2014, when the Russian annexation of Crimea was accompanied by a flood of crude but effective disinformation. The authors look particularly at the Learn to Discern programs established by the international non-profit organization IREX to foster information literacy using techniques grounded in interdisciplinary expertise and carefully evaluated through pilot studies and follow-up evaluations. These programs train instructors through workshops and provide them with materials. In the first program, aimed at the general public, many of the instructors were librarians, and library facilities were heavily used to deliver the public training. In the second program, information literacy was integrated into the public school curriculum and thousands of teachers were trained to deliver expertly designed materials for particular grade levels and subjects. The authors also consider the special challenges posed by the COVID-19 pandemic, both as a source for new forms of misinformation and as a disruptor of training previously delivered in tightly packed libraries and classrooms. These Ukrainian programs demonstrate the potential for fighting fake news and other misinformation on a scale far beyond what could be accomplished by individual libraries acting alone.