Sharing of fake news on social media: Application of the honeycomb framework and the third-person effect hypothesis

Talwar, Shalini; Dhir, Amandeep; Singh, Dilraj; Virk, Gurnam Singh; Salo, Jari

doi:10.1016/j.jretconser.2020.102197

Cited by 187 publications

(158 citation statements)

References 31 publications

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“…Next, we examined multicollinearity by generating values of tolerance and variance inflation factor (VIF), as used by recent studies (e.g., Talwar et al, 2019 ; Talwar et al, 2020c ). The computed values of tolerances were greater than 0.1, and VIFs were less than the recommended cut-off of 5 ( Hair et al, 2011 ), implying that there was no multicollinearity issue in the data collected.…”

Section: Resultsmentioning

confidence: 99%

“…The majority of recent studies have utilized the structural equation modeling (SEM) approach for data analysis since it helps analyze multiple relationships between the identified antecedents and outcomes ( Talwar et al, 2020c ; Tandon et al, 2020 ). Both variants of SEM, namely, covariance-based SEM (CB-SEM) and variance-based SEM (VB-SEM), have been applied by scholars to test their proposed hypotheses, including Talwar et al (2020a) , who utilized the former in their study, and Laato et al (2020) , who used the latter.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Has financial attitude impacted the trading activity of retail investors during the COVID-19 pandemic?

Talwar

Talwar²,

Kaur

et al. 2021

Journal of Retailing and Consumer Services

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191

140

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Financial attitude influences the financial behavior of retail investors. Although the extant research has acknowledged and examined this relationship, the measures of financial attitude and behavior still vary widely and are generally posed as a series of questions rather than statements. In addition to this, there is insufficient knowledge regarding retail investors' behavior in the face of a health crisis, such as the current COVID-19 pandemic. This study addresses these gaps in the prior literature by examining the relative influence of six dimensions of financial attitude, namely, financial anxiety, optimism, financial security, deliberative thinking, interest in financial issues, and needs for precautionary savings, on the trading activity of retail investors during the pandemic. Data were collected from 404 respondents and analyzed using the artificial neural network (ANN) method. The results revealed that all six dimensions had a positive influence on trading activity, with interest in financial issues exerting the strongest influence, followed by deliberative thinking. The study thus contributes important inferences for researchers and managers.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Has financial attitude impacted the trading activity of retail investors during the COVID-19 pandemic?

Talwar

Talwar²,

Kaur

et al. 2021

Journal of Retailing and Consumer Services

Self Cite

191

140

View full text Add to dashboard Cite

show abstract

“…Exposure to online information sources refers to the number of online sources through which people receive information. Making sense of the vast amount of information from multiple sources is not straightforward, as conflicting, unclear, and even fake news circulate constantly on the internet ( Laato et al, 2020 ; Talwar et al, 2019 , 2020 ). During unprecedented and unusual events, such as the COVID-19 pandemic, the novelty of the situation does not allow relying extensively on existing cognitive knowledge structures, which can increase the amount of circulating fake news ( Ahmed et al, 2020 ; Laato et al, 2020 ).…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach

Laato

Islam

Farooq

et al. 2020

Journal of Retailing and Consumer Services

Self Cite

645

595

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During the COVID-19 pandemic, unusual consumer behavior, such as hoarding toilet paper, was reported globally. We investigated this behavior when fears of consumer market disruptions started circulating, to capture human behavior in this unique situation. Based on the stimulus-organism-response (S-O-R) framework, we propose a structural model connecting exposure to online information sources (environmental stimuli) to two behavioral responses: unusual purchases and voluntary self-isolation. To test the proposed model, we collected data from 211 Finnish respondents via an online survey, and carried out analysis using PLS-SEM. We found a strong link between self-intention to self-isolate and intention to make unusual purchases, providing empirical evidence that the reported consumer behavior was directly linked to anticipated time spent in self-isolation. The results further revealed exposure to online information sources led to increased information overload and cyberchondria. Information overload was also a strong predictor of cyberchondria. Perceived severity of the situation and cyberchondria had significant impacts on people's intention to make unusual purchases and voluntarily self-isolate. Future research is needed to confirm the long-term effects of the pandemic on consumer and retail services.

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“…It is represented as “fabricated stories”, intentionally false but realistic, which appeal to users’ previous beliefs (e.g. ; Di Domenico & Visentin, 2020 ; Talwar et al, 2020 ; Tandoc et al, 2018 ; Visentin et al, 2019 ). To date, most of the literature on misinformation has tried to understand the drivers underpinning fake news belief and sharing on social media.…”

Section: Fake News and Misinformationmentioning

confidence: 99%

Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic

2021

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In the wake of the COVID-19 pandemic, unprecedent amounts of fake news and hoax spread on social media. In particular, conspiracy theories argued on the effect of specific new technologies like 5G and misinformation tarnished the reputation of brands like Huawei. Language plays a crucial role in understanding the motivational determinants of social media users in sharing misinformation, as people extract meaning from information based on their discursive resources and their skillset. In this paper, we analyze textual and non-textual cues from a panel of 4923 tweets containing the hashtags #5G and #Huawei during the first week of May 2020, when several countries were still adopting lockdown measures, to determine whether or not a tweet is retweeted and, if so, how much it is retweeted. Overall, through traditional logistic regression and machine learning, we found different effects of the textual and non-textual cues on the retweeting of a tweet and on its ability to accumulate retweets. In particular, the presence of misinformation plays an interesting role in spreading the tweet on the network. More importantly, the relative influence of the cues suggests that Twitter users actually read a tweet but not necessarily they understand or critically evaluate it before deciding to share it on the social media platform.

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Sharing of fake news on social media: Application of the honeycomb framework and the third-person effect hypothesis

Cited by 187 publications

References 31 publications

Has financial attitude impacted the trading activity of retail investors during the COVID-19 pandemic?

Has financial attitude impacted the trading activity of retail investors during the COVID-19 pandemic?

Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach

Linguistic drivers of misinformation diffusion on social media during the COVID-19 pandemic

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