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Background: Pervasive health misinformation on social media affects people's health. Fact-checking health information before it is shared is an altruistic behavior that effectively addresses health misinformation on social media. Purpose: Based on the influence of presumed media influence (IPMI), this study serves two purposes: The first is to investigate factors that influence social media users' decisions to fact-check health information before sharing it in accordance with the IPMI model. The second is to explore different predictive powers of the IPMI model for individuals with different levels of altruism. Methods: This study conducted a questionnaire survey of 1045 Chinese adults. Participants were divided into either a low-altruism group (n = 545) or a high-altruism group (n = 500) at the median value of altruism. A multigroup analysis was conducted with R Lavaan package (Version 0.6-15). Results: All of the hypotheses were supported, which confirms the applicability of the IPMI model in the context of fact-checking health information on social media before sharing. Notably, the IPMI model yielded different results for the low- and high-altruism groups. Conclusion: This study confirmed the IPMI model can be employed in the context of fact-checking health information. Paying attention to health misinformation can indirectly affect an individual's intention to fact-check health information before they share it on social media. Furthermore, this study demonstrated the IPMI model's varying predictive powers for individuals with different altruism levels and recommended specific strategies health-promotion officials can take to encourage others to fact-check health information.
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During the COVID-19 pandemic, many rumors and conspiracy theories spread in various media outlets. The purpose of this study is to reveal the nature of the misinformation detected by fact check platforms that spread in the Fragile Five countries. To determine the themes of misinformation about COVID-19 and from which media it is disseminated are a possible way to prevent it. The data of the study were obtained from International Fact-checking Network's CoronaVirusFacts database. One thousand seven hundred thirty-four piece of misinformation collected by web scraping method during the period January 24, 2020 to November 14, 2020 and analyzed with MAXQDA Analytics Pro 2020. As a result of the research, it was found that rumors (96.3%) spread more in the Fragile Five countries than conspiracy theories (3.7%). While the main theme of the rumors is about illness (26.9%) and diagnosis-treatment (25%), conspiracy theories are mostly related to the cause of the disease (68.8%). 53.06% of misinformation was spread through the Facebook platform. 15.32% on Twitter; 13.34% on WhatsApp. Misinformation has been heavily false (85.12%) in both rumor and conspiracy theories. In the second place, misleading (10.09%) news spread.
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This study identifies the different fake news verified by PIB fact-checking site. This study verified different themes along with the frequency of fake news which was verified by PIB site of Indian Government. As the data were collected during pandemic, this study attempted to find out the frequency in which different aspects of covid-19 were manipulated as fake news and subsequently shared through different media platforms. The fake news producers used different media platforms, including mainstream and social media, to disseminate fake news. This study also identified the different media applications where fake news were spread in large numbers by giants of fake news. The study also found that misinformation can be disseminated in different forms and languages too. © 2022 The Author(s). Published with license by Taylor & Francis Group, LLC.
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This study identifies the different fake news verified by PIB fact-checking site. This study verified different themes along with the frequency of fake news which was verified by PIB site of Indian Government. As the data were collected during pandemic, this study attempted to find out the frequency in which different aspects of covid-19 were manipulated as fake news and subsequently shared through different media platforms. The fake news producers used different media platforms, including mainstream and social media, to disseminate fake news. This study also identified the different media applications where fake news were spread in large numbers by giants of fake news. The study also found that misinformation can be disseminated in different forms and languages too. © 2022 The Author(s). Published with license by Taylor & Francis Group, LLC.
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[This corrects the article DOI: 10.3389/fpubh.2022.948955.].
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This research aims to analyze how Indonesian Gen Z identifies and responds to fake news on Twitter and what types of sources produce fake news on Twitter. The research findings showed that Indonesian Gen Z identifies fake news through five metrics: Content, Context, Semantics, Structure, and User. The most used metric they used, which marked as the novelty findings of this research, was Context and Structure. Furthermore, Indonesian Gen Z tends to respond to fake news through Passive Engagement more, such as ignoring, cross-checking, passively reading, and showing skepticism, compared to Active Engagement, such as replying, sharing, and reporting. © 2022 Little Lion Scientific.
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Objective: We assessed the associations of family wellbeing with verifying and subsequently forwarding COVID-19-related information to family members and the mediating effect of the quality of family communication on these associations among Chinese adults in Hong Kong. Methods: Under the Jockey Club SMART Family-Link Project, we conducted an online population-based survey, using Family wellbeing Scale and questions related to the family communication quality and forwarding and verifying COVID-19 information. Data were collected from 4,891 adults in May 2020. Prevalence estimates of forwarding and verifying COVID-19 information were weighted by sex, age, and education of the general population, and their associations with family wellbeing (ranged 0-10) were analyzed using generalized linear models with mutual adjustment. Their interactive effects on family wellbeing and the mediating effects of family communication quality were examined. Results: In total, 53.9% of respondents usually/always forwarded COVID-19 information related to their family, 68.7% usually/always verified it before forwarding, and 40.9% did both. Greater family wellbeing was associated with usually/always forwarding [adjusted ß (95% CI): 0.82 (0.72-0.92)] and usually/always verifying [0.43 (0.32-0.55)] (both P < 0.001) the information. Forwarding and verifying such information showed an additive effect on family wellbeing [1.25 (1.11-1.40)]. Family communication quality mediated the associations of family wellbeing with forwarding (83.7%) and verifying (86.6%) COVID-19-related information. Conclusion: Forwarding COVID-19 information to family, verifying such information, and especially doing both, were associated with greater family wellbeing, being strongly mediated by the quality of family communication. Individuals should be encouraged to verify COVID-19-related information before forwarding it to family members amidst the COVID-19 pandemic.
Subject(s)
COVID-19 , Adult , Asian People , COVID-19/epidemiology , Communication , Family , Humans , PandemicsABSTRACT
During the COVID-19 pandemic, the World Health Organization provided a checklist to help people distinguish between accurate and misinformation. In controlled experiments in the United States and Germany, we investigated the utility of this ordered checklist and designed an interactive version to lower the cost of acting on checklist items. Across interventions, we observe non-trivial differences in participants' performance in distinguishing accurate and misinformation between the two countries and discuss some possible reasons that may predict the future helpfulness of the checklist in different environments. The checklist item that provides source labels was most frequently followed and was considered most helpful. Based on our empirical findings, we recommend practitioners focus on providing source labels rather than interventions that support readers performing their own fact-checks, even though this recommendation may be influenced by the WHO's chosen order. We discuss the complexity of providing such source labels and provide design recommendations. © 2022 ACM.
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Based on virtual ethnography and online interviews, we provide new evidence of how fact-checking organizations based in Zimbabwe, South Africa and Namibia responded to the influx of conspiracy theories, mis- and disinformation during the COVID-19 pandemic. This study seeks to answer the following questions: What kind of responses did ZimFact, Africa Check and Namibia Fact Check put in place to combat the spread of the 'disinfodemic' during the outbreak of COVID-19 in Southern Africa? To what extent were these interventions effective in terms of combating the viral spread of the 'disinfodemic' in the broader information ecosystem? It argues that through a combination of manual and technology-enabled verification processes, these organizations were partly able to debunk some of the harmful, conspiratorial and misleading claims related to the coronavirus. It demonstrates that fact-checking alone is not enough to stem the 'disinfodemic' unless it is complemented by an ecosystem that prioritizes access to information, media literacy initiatives, proactive takedown interventions by platform companies and increased public awareness on truthful and credible public health information. Furthermore, fact-checking organizations need to increase the speed at which they respond to the 'disinfodemic' if virality, which is the major driver of this 'phenomenon', is to be mitigated. We recommend that fact-checkers should implement efficient mechanisms of decentralizing their activities, amplify the sharing of verified information, forge collaborative initiatives with key actors and ramp up critical media literacy programmes.
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BACKGROUND: One of the challenges posed by the novel coronavirus pandemic is the infodemic risk, that is, a huge amount of information being published on the topic, along with misinformation and rumours; with social media, this phenomenon is amplified, and it goes faster and further. Around 100 million people in Brazil (50% of the inhabitants) are users of social media networks - almost half of the country's population. Most of the information on the Internet is unregulated, and its quality remains questionable. METHODS: In this study, we examine the main characteristics of misinformation published on the topic. We analysed 232 pieces of misinformation published by the Brazilian fact-checking service "Agência Lupa". The following aspects of each news item were analysed: a) In what social media has it circulated?; b) What is the content classification, sentiment and type of misinformation?; d) Are there recurrent themes in the sample studied? RESULTS: Most were published on Facebook (76%), followed by WhatsApp, with 10% of total cases. Half of the stories (47%) are classified as "real-life", that is, the focus is on everyday situations, or circumstances involving people. Regarding the type of misinformation, there is a preponderance of fabricated content, with 53% of total, followed by false context (34%) and misleading content (13%). Wrong information was mostly published in text format (47%). We found that 92.9% of misinformation classified as "fabricated content" are "health tips", and 88.9% of "virtual scams" are also fabricated. CONCLUSION: Brazilian media and science communicators must understand the main characteristics of misinformation in social media about COVID-19, so that they can develop attractive, up-to-date and evidence-based content that helps to increase health literacy and counteract the spread of false information.
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COVID-19 , Social Media , Brazil/epidemiology , Communication , Humans , Pandemics , SARS-CoV-2 , Social NetworkingABSTRACT
On the 11 th of March 2020, the World Health Organisation (WHO) declared a global pandemic due to the SARS-CoV-2 virus, which causes coronavirus disease 2019 (COVID-19). This was one month after Dr. Tedros Adhanom Ghebreyesus, Director-General of the WHO declared that we are also fighting an 'infodemic'. The WHO has described an infodemic as an "over-abundance of information - some accurate and some not - that makes it hard for people to find trustworthy sources and reliable guidance when they need it". iHealthFacts.ie is an Irish resource where the public can quickly and easily check the credibility and reliability of health claims circulating on social media. Unreliable claims can lead to poorly informed health choices. iHealthFacts is an initiative that supports the public to think critically about health claims and make well-informed choices. Here, we describe the role iHealthFacts plays in providing reliable information to the public and offer reflections from those involved in launching this initiative during a pandemic.
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The COVID-19 pandemic went hand in hand with what some have called a "(mis)infodemic" about the virus on social media. Drawing on partisan motivated reasoning and partisan selective sharing, this study examines the influence of political viewpoints, anxiety, and the interactions of the two on believing and willingness to share false, corrective, and accurate claims about COVID-19 on social media. A large-scale 2 (emotion: anxiety vs relaxation) × 2 (slant of news outlet: MSNBC vs Fox News) experimental design with 719 US participants shows that anxiety is a driving factor in belief in and willingness to share claims of any type. Especially for Republicans, a state of heightened anxiety leads them to believe and share more claims. Our findings expand research on partisan motivated reasoning and selective sharing in online settings, and enhance the understanding of how anxiety shapes individuals' processing of risk-related claims in issue contexts with high uncertainty.