Applying the SOBC paradigm to explain how social media overload affects academic performance

Whelan, Eoin; Islam, A. K. M. Najmul; Brooks, Stoney L.

doi:10.1016/j.compedu.2019.103692

Cited by 138 publications

(130 citation statements)

References 66 publications

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“…Humans overloaded by information are likely to make careless decisions as they are unable to process surrounding information and experience less selfcontrol (Samson & Kostyszyn, 2015). Stemming from our review of the CLT literature, the constructs of information trust (Talwar et al, 2019) and information overload (Whelan et al, 2020a) are likely to be salient in explaining misinformation decisions. Hence, these two constructs were brought in as components of our research model.…”

Section: Theoretical Foundationmentioning

confidence: 99%

“…Literature on information overload (e.g., Whelan et al, 2020a), fake news (e.g., Khan & Idris, 2019;Chen et al, 2015;Talwar et al, 2019), and cyberchondria (Starcevic & Berle, 2013;Vismara et al, 2020).…”

Section: New Construct Developmentmentioning

confidence: 99%

“…Construct and Source Item Information Overload (Whelan et al, 2020a) IO1: I am often distracted by the excessive amount of information on social medial about Coronavirus (COVID-19) IO2: I find that I am overwhelmed by the amount of information that I process on a daily basis from social media about Coronavirus (COVID-19) IO3: I receive too much information regarding the Coronavirus (COVID-19) pandemic to form a coherent picture of what's happening Perceived susceptibility (Ling et al, 2019;Farooq et al, 2020)…”

Section: Disclosure Statementmentioning

confidence: 99%

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What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?

Laato

Islam

Islam³

et al. 2020

European Journal of Information Systems

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404

425

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The World Health Organisation has emphasised that misinformationspreading rapidly through social mediaposes a serious threat to the COVID-19 response. Drawing from theories of health perception and cognitive load, we develop and test a research model hypothesising why people share unverified COVID-19 information through social media. Our findings suggest a person's trust in online information and perceived information overload are strong predictors of unverified information sharing. Furthermore, these factors, along with a person's perceived COVID-19 severity and vulnerability influence cyberchondria. Females were significantly more likely to suffer from cyberchondria, with males more likely to share news without verifying its reliability. Our findings suggest that to mitigate the spread of COVID-19 misinformation and cyberchondria, measures should be taken to enhance a healthy scepticism of health news while simultaneously guarding against information overload.

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Section: Theoretical Foundationmentioning

confidence: 99%

Section: New Construct Developmentmentioning

confidence: 99%

Section: Disclosure Statementmentioning

confidence: 99%

See 1 more Smart Citation

What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?

Laato

Islam

Islam³

et al. 2020

European Journal of Information Systems

Self Cite

404

425

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“…In addition, cognitive failure on the Internet has been used as a performance explanatory variable for digital learning tasks. It is clear that individuals with high levels of failure on the Internet are easily attentive and error-prone when they are online [24]. A study has indicated that Internet cognitive failure is negatively related to learning affective performance [25].…”

Section: A Online Cognitive Failurementioning

confidence: 99%

Applying Kahoot in Thai Language and Culture Curriculum: Analysis of the Relationship among Online Cognitive Failure, Flow Experience, Gameplay Anxiety and Learning Performance

Ye¹,

Watthanapas²,

Wu³

2020

IJIET

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The benefits of game-based learning have been confirmed by many studies, and it has also been proven to be a method that can bring meaningful learning to learners. However, its application in Taiwan’s higher education stage is still infrequent, and only few related studies. Therefore, this study uses Kahoot with an interactive response system (IRS) mechanism as one of the curriculum teaching tools. The research adopted purposive sampling method. Participants were students from two universities in northern Taiwan who took Thai language and culture courses. The total number of valid participants was 103, including 25 males (29.8%) and 59 females (70.2%). This study was based on the theory of cognitive learning of multimedia learning, and the design of Kahoot’s game content. Based on the special CATLM and focus influence model, six research hypotheses were proposed to build a research model. The results showed that online cognitive failure was negatively correlated with gameplay flow; online cognitive failure was positively correlated with gameplay anxiety; gameplay flow was positively correlated with learning performance; gameplay anxiety was not correlated with learning performance; anxiety does not necessarily affect the effectiveness of game-based learning.

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“…FoMO has received great attention from researchers due to its strong correlations with problematic social media use [2][3][4] as well as other latent risk variables (e.g., social activity 2 , emotional support from social media 4 , and extraversion 5 ), especially among younger generations 6 . Moreover, FoMO was revealed to be associated with psychopathological symptoms 7,8 and to lead to negative consequences (e.g., phubbing behaviour 4 , poor academic performance 9 , sleep problems 10 , and low subjective well-being 11 ). Therefore, the exploration and assessment of FoMO is of great importance.…”

Section: Introductionmentioning

confidence: 99%

Validation and psychometric properties of the Chinese version of the Fear of Missing Out Scale (FoMOs）

Li¹,

Huang²,

Dou³

2020

Preprint

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Aim: The present study aimed to examine the psychometric properties of the original 10-item version of the Fear of Missing Out scale (FoMOs) to validate it for use among Chinese adolescents and emerging adults. Method: A convenient sample of 2886 subjects (Mage =14.79, SD = 4.03; 47.96% male) was recruited in South China. Item analysis, EFA, CFA, testing of measurement invariance across gender and age, reliability analysis, and convergent validity analysis were conducted. A sample of 154 subjects (Mage = 15.3, SD = 2.22; 54% male) completed the scale again after 6 months to assess the test-retest reliability. Results: The EFA strongly indicated a two-dimensional solution for the Chinese version of the FoMOs, which the CFA confirmed. Adequate internal consistency was found. Convergent validity was also demonstrated. Conclusion: Based on the results, the Chinese version of the FoMOs is suitable for use among Chinese young people.

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Applying the SOBC paradigm to explain how social media overload affects academic performance

Cited by 138 publications

References 66 publications

What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?

What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?

Applying Kahoot in Thai Language and Culture Curriculum: Analysis of the Relationship among Online Cognitive Failure, Flow Experience, Gameplay Anxiety and Learning Performance

Validation and psychometric properties of the Chinese version of the Fear of Missing Out Scale (FoMOs）

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