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Results of weighted linear regressions predicting z-standardized measures of well-being from social media platforms and socio-demographic controls
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Many people engage with a diverse array of social media platforms, raising concerns that this diversity of platforms may be linked to negative affect, hypothesized to arise from multitasking or identify diffusion. Using a large representative sample (N = 1,372) of US adults from the authoritative General Social Survey, we examine associations betwe...
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Over 70% of Americans use social media platforms, like Instagram. With this high prevalence, researchers have investigated the relationship between social media use and psychological well-being. Extant research has yielded mixed results, however, as most measures of social media use are self-reported and focus on amount of use. Even when studies ac...
Citations
... Study by Lambić, (2016) reported positive outcomes of social media use among university students. Engaging across various social media platforms and participating in diverse activities within these platforms does not seem to have a substantial negative impact on student academic performance or overall well-being (Lohmann & Zagheni, 2023). In a cross-sectional study conducted by Jamil et al. (2022), the researchers explored the relationship between the use of social media platforms like WhatsApp, YouTube, and Instagram, and the academic performance of undergraduate physical therapy students. ...
This study aims to investigate the role of digital learning platforms (DLP) as a mediator in the relationship between the social media capability (SMC) and academic performance (AP). It explores the individual impacts of SMC and DLP on academic performance. The study employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the reflective and structural models, aiming to find the correlations among various variables. The adoption of the structural model is supported by evidence of convergent, discriminant, and convergent validity among the constructs. The structural model’s findings suggest a positive association between students’ use of social media and both Digital Learning Platforms (DLP) and academic performance. Moreover, it identifies DLP as a mediating factor in these relationships, indicating that students are more likely to leverage and harness the benefits of social media when they have control over digital learning platform resources. Consequently, SMC and DLP collectively contribute to improved academic performance. This study highlights the applicability of Partial Least Squares Structural Equation Modeling in understanding the dynamics of social media and digital learning platforms in the context of enhancing academic performance. The results also emphasize the significance of integrating digital learning platforms into educational institutions. Finally, the study discusses implications and provides practical recommendations based on its findings.
The study sought to establish the primary determinants of social media usage among mobile network users in Zimbabwe, and how do these determinants vary across different demographic characteristics, including age, gender, education, income, and occupation. A descriptive research design was used in this study. A self-administered face-to-face personal survey was used to collect data from the consumers. The population in this study was made up of mobile consumers of the mobile network providers, Econet, NetOne, and Telecel in Harare Province, aged between 18 and 64 years. Convenience sampling technique, was used to select the mobile network consumers to participate in the study drawn from the three mobile operators. A sample of 384 respondents was chosen for the study. The result indicated that male respondents demonstrated a stronger perception of the effects of social media engagement on social media usage and truthfulness as a determinant of social media usage among the 18 to 25 age group and the 34 to 41 age group was different. Respondents with secondary education only demonstrated stronger perceptions of the effect of perceived usefulness on social media usage than degree holders’ respondents. Formally employed respondents had a stronger perception of the effects of social media influence on social media usage compared to students. The analysis of the study results further indicated that respondents who earned less than 3001- 4000. The study concluded that male consumers have a stronger perception of the effects of social media engagement on social media usage, the consumers in the 18 to 25 age group have stronger perceptions of truthfulness of information, holders of certificates have a stronger perception of the effects of cost effectiveness on social media usage and formally employed consumers have a stronger perception of the effects of social media influence on social media usage compared to students. Creation of social media content helps the mobile network operators to adapt, design and develop social media content specifically targeted to specific ages, gender, occupations, and income levels on social media sites. Mobile network operators can use the results of the study to choose a social media channel that speak to the right demographic consumers who visit their platforms.
