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Chei Sian Lee

Researcher at Nanyang Technological University

Publications -  143
Citations -  3664

Chei Sian Lee is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Social media & Crowdsourcing. The author has an hindex of 26, co-authored 131 publications receiving 2997 citations.

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News sharing in social media: The effect of gratifications and prior experience

TL;DR: Results from structural equation modeling (SEM) analysis revealed that respondents who were driven by gratifications of information seeking, socializing, entertainment, status seeking, and status seeking were more likely to share news in social media platforms.
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Narcissism, extraversion and adolescents' self-presentation on Facebook.

TL;DR: This paper examined the relationship of narcissism and extraversion on adolescents' self-presentation in four Facebook profile features (profile picture, status updates, social network size, photo count), as reported by Grade 7-Grade 9 adolescents.
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Why Students Share Misinformation on Social Media: Motivation, Gender, and Study-level Differences

TL;DR: For instance, this article found that over 60% of respondents had shared misinformation on social media, and the top reasons were related to the information's perceived characteristics, as well as self-expression and socializing.
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Understanding news sharing in social media : An explanation from the diffusion of innovations theory

TL;DR: The results revealed that the influences of self-perceptions of opinion leadership, perceived tie strength in online networks and perceived preference of online news had significant effects on users’ news sharing intention in social media, however, self- Perceived news credibility, homophily, and perceived news credibility were not significant.
Journal IssueDOI

Indagator: Investigating perceived gratifications of an application that blends mobile content sharing with gameplay

TL;DR: Perceived gratification factors, demographic variables, such as basic familiarity with features of mobile communication devices, and IT-related backgrounds were significant in predicting intention to use mobile sharing and gaming applications such as Indagator, however, age, gender, and the personal status gratification factor were nonsignificant predictors.