2017
DOI: 10.1016/j.chb.2017.03.009
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Going Private in Public: A study on shift in behavioral trend using Facebook

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Cited by 5 publications
(4 citation statements)
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“…Furthermore, an exploratory factor analysis (EFA) with the principal component method was performed for the data collected from the pretest. The analysis results show that the loadings of all the items on their underlying constructs are all greater than 0.50 [59]. As such, the percentages of variation explained by PU, CUI, CF, ST, and PEU are 36.195%, 19.026%, 1.438%, 10.245%, and 6.966%, respectively.…”
Section: Survey Designmentioning
confidence: 86%
“…Furthermore, an exploratory factor analysis (EFA) with the principal component method was performed for the data collected from the pretest. The analysis results show that the loadings of all the items on their underlying constructs are all greater than 0.50 [59]. As such, the percentages of variation explained by PU, CUI, CF, ST, and PEU are 36.195%, 19.026%, 1.438%, 10.245%, and 6.966%, respectively.…”
Section: Survey Designmentioning
confidence: 86%
“…The ubiquitous connection that privacy adopts is evident in the proliferation of different concepts: augmented privacy, mediated identity, extimacy and in the teenager culture of self-surveillance that emerges in the social landscape by observation what they subject themselves and others to, generating a panoptic approach in their daily lives (Charteris et al, 2016; Tiggemann and Slater, 2017). Recent studies suggest that the currently dominant display imperative is forging a new notion of privacy (Miguel, 2016; Srivastav and Gupta, 2017; Willem et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Contrarieties are identified among studies regarding teenagers' display of erotic, sentimental, affective-romantic, and sexual orientation-related content (Miguel, 2016; Srivastav and Gupta, 2017; Willem et al, 2017)). Discord is also observed in research addressing privacy awareness.…”
Section: Discussionmentioning
confidence: 99%
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