Rumor recognition behavior of social media users in emergencies

Ding, Xuejun; Zhang, Xiaxia; Fan, Ruoshi; Xu, Qiaochu; Hunt, Kyle; Zhuang, Jun

doi:10.1016/j.jmse.2021.02.003

Cited by 24 publications

(13 citation statements)

References 34 publications

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“…According to Karampela et al (2020) , the perceived value of social networking sites is also based on how marketers see the simplicity of the sites. It has been discovered that the ease of use of social networking sites contributes to an increase in users’ trust, desire, and intention to utilize the services ( Sullivan and Koh, 2019 ; Ding et al, 2022 ). To add insult to injury, if employees feel that social networking sites are more difficult to use than they actually are, they will evaluate the value of these platforms as being lower.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

An assessment of influential factors developing the intention to use social media sites: A technology acceptance model based approach

et al. 2022

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The aim of this study is to elaborate the different factors which attract users to use social media sites. These main factors are subjective norms, image, efficiency and satisfaction along with the mediating role of perceived usefulness. Survey method was used to collect data from B2B fashion brands in Pakistan. Convenient sampling technique was used to collect data from targeted respondents. Collected data was analyzed using Smart-PLS 3.3 version. Results express that subjective norms, image, efficiency and satisfaction have positive and significant impact on perceived usefulness and intention to use social media sites in B2B context within Pakistani fashion brands. Results further reveal that perceived usefulness partially mediates the relationship between subjective norms, image, efficiency, satisfaction and intention to use social media sites. This study will enhance the available literature in the area of technology acceptance model (TAM) and will provide useful insights to B2B managers to use efficiently use social media sites for the promotion of their brands. This study is limited to fashion brands, future researchers can expand this model to other area of business.

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Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

An assessment of influential factors developing the intention to use social media sites: A technology acceptance model based approach

et al. 2022

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“…For example, Badrinathan (2021) conducted a field experiment to test the effectiveness of educative interventions on people's ability to identify misinformation. Combining the theory of planned behavior and deterrence theory, Ding et al. (2022) explored the factors affecting social media users' rumor recognition behavior.…”

Section: Rumor-combating Behaviorsmentioning

confidence: 99%

“…Wang and Zhuang (2018) noted that in the early stages of rumor propagation, broad mass participation and ongoing discussion can serve the self-correction function of social media, allowing knowledgeable users to identify rumors and correct misinformation. Ding et al (2022) suggested that the users' self-conscious behaviors, such as rumor recognition, are beneficial for social media rumor management. Tang et al (2021) also indicated that to eradicate online rumors, official governments should encourage ordinary citizens to combat rumor spreading.…”

Section: Introductionmentioning

confidence: 99%

Establishing the typology and the underlying structure of rumor-combating behaviors: a multidimensional scaling approach

Shen

Sun

2022

ITP

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PurposeSocial media rumor combating is a global concern in academia and industry. Existing studies lack a clear definition and overall conceptual framework of users' rumor-combating behaviors. Therefore, this study attempts to empirically derive a typology of rumor-combating behaviors of social media users.Design/methodology/approachA three-phase typology development approach is adopted, including content analysis, multidimensional scaling (MDS), interpreting and labeling. Qualitative and quantitative data collection and analysis methods are employed.FindingsThe elicited 40 rumor-combating behaviors vary along two dimensions: high versus low difficulty of realization, and low versus high cognitive load. Based on the two dimensions, the 40 behaviors are further divided into four categories: rumor-questioning behavior, rumor-debunking behavior, proactive-appealing behavior, and literacy enhancement behavior.Practical implicationsThis typology will serve as reference for social media platforms and governments to further explore the interventions to encourage social media users to counter rumor spreading based on various situations and different characteristics of rumor-combating behaviors.Originality/valueThis study provides a typology of rumor-combating behaviors from a novel perspective of user participation. The typology delves into the conceptual connotations and basic forms of rumor combating, allowing for a comprehensive understanding of the complete spectrum of users' rumor-combating behaviors. Furthermore, the typology identifies the similarities and the differences between various rumor-combating behaviors, thus providing implications and directions for future research on rumor-combating behaviors.

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“…Owing to the volume of information on social media, many studies have focused on developing sophisticated machine learning algorithms to extract features that predict the diffusion of misinformation (see, for example, Tambuscio et al, 2015). Some studies have examined ordinary citizens' reactions to false news on social media, but they tend to rely on limited samples (Morris et al, 2012; Ding et al, 2021). As an exception, Hunt, Wang, and Zhuang (2020) identified the common sources of outside information, such as news websites, that Twitter users incorporated in their debunking posts.…”

Section: Introductionmentioning

confidence: 99%

Official sources, news outlets, or search engines? Rumour validation on social media during Hurricanes Harvey and Irma

2022

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This study, based on data collected from a representative sample of adults in the United States, explores the social cognitive variables that motivated Americans to validate rumours on social media about Hurricanes Harvey and Irma, both of which struck in August/September 2017. The results indicate that risk perception and negative emotions are positively related to systematic processing of relevant risk information, and that systematic processing is significantly related to rumour validation through search engines such as Google. In contrast, trust in information about the hurricane is significantly related to validation through official sources, such as FEMA (Federal Emergency Management Agency), and major news outlets such as The New York Times. Trust in information is also significantly related to systematic processing of risk information. The findings of this study suggest that ordinary citizens may be motivated to validate rumours on social media, which is an increasingly important issue in contemporary societies.

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Rumor recognition behavior of social media users in emergencies

Cited by 24 publications

References 34 publications

An assessment of influential factors developing the intention to use social media sites: A technology acceptance model based approach

An assessment of influential factors developing the intention to use social media sites: A technology acceptance model based approach

Establishing the typology and the underlying structure of rumor-combating behaviors: a multidimensional scaling approach

Official sources, news outlets, or search engines? Rumour validation on social media during Hurricanes Harvey and Irma

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