Understanding patterns of COVID infodemic: A systematic and pragmatic approach to curb fake news

Gupta, Ashish; Han, Leng; Farnoush, Alireza; Jiang, Wenting Kayla

doi:10.1016/j.jbusres.2021.11.032

Cited by 66 publications

(46 citation statements)

References 44 publications

(30 reference statements)

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“…Participants who did not effectively detect fake news (vs. effectively detected fake news) had higher levels of anxiety than participants. In this relationship, anxiety can be understood as a response to the information and misinformation overload during the coronavirus pandemic (e.g., Gupta et al, 2022 ), or as an independent variable that could distort the individual's reasoning for identifying fake news (see Escolà-Gascón et al, 2020 ). In this research, anxiety was measured both as a stable personality trait and as a state.…”

Section: Discussionmentioning

confidence: 99%

Who falls for fake news? Psychological and clinical profiling evidence of fake news consumers

Escolà‐Gascón

Dagnall

Denovan

et al. 2023

Personality and Individual Differences

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Section: Discussionmentioning

confidence: 99%

Who falls for fake news? Psychological and clinical profiling evidence of fake news consumers

Escolà‐Gascón

Dagnall

Denovan

et al. 2023

Personality and Individual Differences

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“…There is a thin line between information and misinformation, and especially during the pandemic, misinformation has spread worldwide [ 117 ]. Failure to prevent the dissemination of misinformation about COVID-19 and vaccines has caused panic, terror, and disorder in society [ 118 ].…”

Section: How Do Our Findings Compare With the Rest Of The World?mentioning

confidence: 99%

Understanding Factors to COVID-19 Vaccine Adoption in Gujarat, India

Tolia

Singh

Deshpande

et al. 2022

IJERPH

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The COVID-19 pandemic has posed threats to human life across the globe, including India. Vaccinating is an effective means of addressing the pandemic threat. The government of India has implemented a massive vaccination drive to save its citizens from the deadly virus. However, the effort has faced multiple challenges, including vaccine hesitancy. This research understands respondents’ perspectives on factors contributing to the lower vaccination uptake in Gujarat, India. Forty-four semi-structured interviews were conducted through convenience sampling representing different demographic backgrounds. Factors influencing vaccine adoption included religious leadership, political leadership and the government, and fear of side effects, especially among children and those with co-morbidities, resulting primarily from fake news and misinformation circulated through social media. Compared with nine countries from across the world, the study found similarities to vaccine hesitancy from misinformation and the fear of side effects among children. In contrast, the role of government and the influence of religious and political leaders was considered positive. The study recommends strategies to overcome people’s apprehensions about the adoption of vaccination. These include offering incentives, providing positive peer-to-peer communication, recruiting influencers such as religious and community leaders and early adopters such as the elderly population to endorse vaccination, targeting youth through social media, and reaching rural sections by involving NGOs and social service groups.

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“…Taking cognizance of the work of Gupta et al [4], it is possible to suggest that AI can be used to develop mitigation strategies for dealing with fake news. The approach outlined in this paper whereby the AIDA model is used to harness AI/ML, can be considered proactive in terms of getting consumers to understand what the truth is or indeed to look for the truth.…”

Section: Discussionmentioning

confidence: 99%

“…Reflecting on the impact and consequences of COVID-19, brings to the fore a number of issues, one of which is the rise in fake news and the harmful consequences of it (e.g., actual deaths from the disease and additional deaths attributed to fake medicines). The rise in the infodemic [4] (p. 671) is now being given attention, and marketers are required to note that consumers may not be able to distinguish fake news from genuine news. Consequently, they may suffer stress and anxiety when trying to make a distinction between the two, which leads to a re-evaluation of how consumers view information usage.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Marketing Provision through Increased Online Safety That Imbues Consumer Confidence: Coupling AI and ML with the AIDA Model

Lee

Trim

2022

BDCC

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To enhance the effectiveness of artificial intelligence (AI) and machine learning (ML) in online retail operations and avoid succumbing to digital myopia, marketers need to be aware of the different approaches to utilizing AI/ML in terms of the information they make available to appropriate groups of consumers. This can be viewed as utilizing AI/ML to improve the customer journey experience. Reflecting on this, the main question to be addressed is: how can retailers utilize big data through the implementation of AI/ML to improve the efficiency of their marketing operations so that customers feel safe buying online? To answer this question, we conducted a systematic literature review and posed several subquestions that resulted in insights into why marketers need to pay specific attention to AI/ML capability. We explain how different AI/ML tools/functionalities can be related to different stages of the AIDA (Awareness, Interest, Desire, and Action) model, which in turn helps retailers to recognize potential opportunities as well as increase consumer confidence. We outline how digital myopia can be reduced by focusing on human inputs. Although challenges still exist, it is clear that retailers need to identify the boundaries in terms of AI/ML’s ability to enhance the company’s business model.

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Understanding patterns of COVID infodemic: A systematic and pragmatic approach to curb fake news

Cited by 66 publications

References 44 publications

Who falls for fake news? Psychological and clinical profiling evidence of fake news consumers

Who falls for fake news? Psychological and clinical profiling evidence of fake news consumers

Understanding Factors to COVID-19 Vaccine Adoption in Gujarat, India

Enhancing Marketing Provision through Increased Online Safety That Imbues Consumer Confidence: Coupling AI and ML with the AIDA Model

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