Author
Adrian Meier
Other affiliations: University of Erlangen-Nuremberg, University of Amsterdam
Bio: Adrian Meier is an academic researcher from University of Mainz. The author has contributed to research in topics: Social media & Psychology. The author has an hindex of 11, co-authored 23 publications receiving 458 citations. Previous affiliations of Adrian Meier include University of Erlangen-Nuremberg & University of Amsterdam.
Papers
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TL;DR: Examination of the predictors of procrastination with Facebook as well as its effects on students academic and overall well-being concluded that low trait self-control, habitual Facebook checking, and high enjoyment of Facebook use predict almost 40 percent of the variance of using Facebook for Procrastination.
179 citations
TL;DR: In this article, the authors discuss how computer-mediated communication (CMC), and specifically social media, may affect the mental health and well-being of its users, for better or worse.
Abstract: Computer-mediated communication (CMC), and specifically social media, may affect the mental health (MH) and well-being of its users, for better or worse. Research on this topic has accumulated rapi...
139 citations
TL;DR: Investigating how social comparisons and envy on SNS are related to inspiration, a complex motivational state with specific characteristics of a creative and aesthetic visual culture, focuses on Instagram and reveals that the intensity of social comparisons on Instagram was positively related toiration and that this relationship was fully mediated by benign envy.
Abstract: A growing body of research finds social network sites (SNS) such as Instagram to facilitate social comparison and the emotional experience of envy in everyday life, with harmful effects fo...
119 citations
TL;DR: This article conducted an up-to-date review of reviews published between 2019 and mid-2021 and found that most reviews interpreted the associations between social media use and mental health as weak or inconsistent, whereas a few qualified the same associations as substantial or debatable.
Abstract: Literature reviews on how social media use affects adolescent mental health have accumulated at an unprecedented rate of late. Yet, a higher-level integration of the evidence is still lacking. We fill this gap with an up-to-date umbrella review, a review of reviews published between 2019 and mid-2021. Our search yielded 25 reviews: seven meta-analyses, nine systematic, and nine narrative reviews. Results showed that most reviews interpreted the associations between social media use and mental health as ‘weak’ or ‘inconsistent,’ whereas a few qualified the same associations as ‘substantial’ and ‘deleterious.’ We summarize the gaps identified in the reviews, provide an explanation for their diverging interpretations, and suggest several avenues for future research.
89 citations
TL;DR: The results suggest that the Online Vigilance Scale (OVS) shows a stable factor structure in various contexts and user populations and provides future work in communication, psychology, and other social sciences with a new measure of the individual cognitive orientation towards ubiquitous online communication.
Abstract: Smartphones and other mobile devices have fundamentally changed patterns of Internet use in everyday life by making online access constantly available. The present paper offers a theoretical explication and empirical assessment of the concept of online vigilance, referring to users' permanent cognitive orientation towards online content and communication as well as their disposition to exploit these options constantly. Based on four studies, a validated and reliable self-report measure of online vigilance was developed. In combination, the results suggest that the Online Vigilance Scale (OVS) shows a stable factor structure in various contexts and user populations and provides future work in communication, psychology, and other social sciences with a new measure of the individual cognitive orientation towards ubiquitous online communication.
65 citations
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TL;DR: The research field needs to refocus on improving transparency, interpreting effect sizes and changing measurement, and show a greater appreciation for the individual differences that will inherently shape each adolescent’s reaction to digital technologies.
Abstract: In light of growing concerns about an increasingly digital adolescence, the academic field investigating how digital technologies affect adolescents’ psychological well-being is growing rapidly. In the last years, much research has amassed, and this has been summarised in over 80 systematic reviews and meta-analyses. Systematic reviews, meta-analyses and key studies are reviewed to provide insights into the state of current research linking digital technology and social media use to well-being; possible future directions and improvements are discussed. When examining the reviews, it becomes evident that the research field is dominated by cross-sectional work that is generally of a low quality standard. While research has highlighted the importance of differentiating between different types of digital technology use many studies do not consider such necessary nuances. These limitations aside, the association between digital technology use, or social media use in particular, and psychological well-being is—on average—negative but very small. Furthermore, the direction of the link between digital technology use and well-being is still unclear: effects have been found to exist in both directions and there has been little work done to rule out potential confounders. Reviewing the last decade of reviews in the area, it is evident that the research field needs to refocus on improving transparency, interpreting effect sizes and changing measurement. It also needs to show a greater appreciation for the individual differences that will inherently shape each adolescent’s reaction to digital technologies.
246 citations
TL;DR: The authors conducted a meta-analysis of self-reported and log-based measures of media use and found that selfreported media use correlates only moderately with logged measurements, that self-reports were rarely an accurate reflection of logged media use, and that problematic media use showed an even weaker association with usage logs.
Abstract: There is widespread public and academic interest in understanding the uses and effects of digital media. Scholars primarily use self-report measures of the quantity or duration of media use as proxies for more objective measures, but the validity of these self-reports remains unclear. Advancements in data collection techniques have produced a collection of studies indexing both self-reported and log-based measures. To assess the alignment between these measures, we conducted a pre-registered meta-analysis of this research. Based on 106 effect sizes, we found that self-reported media use correlates only moderately with logged measurements, that self-reports were rarely an accurate reflection of logged media use and that measures of problematic media use show an even weaker association with usage logs. These findings raise concerns about the validity of findings relying solely on self-reported measures of media use. In a pre-registered meta-analysis, Parry et al. find that, when self-reported media use is compared with digital logs of media use, subjective judgements are often inaccurate. This suggests caution when self-reports are used to test associations between media use and other outcomes.
175 citations
TL;DR: In this paper, the authors used multilevel vector autoregressive time-series models to estimate between-subjects associations among these variables and found that more time spent on PSMU was associated with higher levels of interest loss, concentration problems, fatigue, and loneliness.
Abstract: Passive social media use (PSMU)—for example, scrolling through social media news feeds—has been associated with depression symptoms. It is unclear, however, if PSMU causes depression symptoms or vice versa. In this study, 125 students reported PSMU, depression symptoms, and stress 7 times daily for 14 days. We used multilevel vector autoregressive time-series models to estimate (a) contemporaneous, (b) temporal, and (c) between-subjects associations among these variables. (a) More time spent on PSMU was associated with higher levels of interest loss, concentration problems, fatigue, and loneliness. (b) Fatigue and loneliness predicted PSMU across time, but PSMU predicted neither depression symptoms nor stress. (c) Mean PSMU levels were positively correlated with several depression symptoms (e.g., depressed mood and feeling inferior), but these associations disappeared when controlling for all other variables. Altogether, we identified complex relations between PSMU and specific depression symptoms that warrant further research into potentially causal relationships.
160 citations
TL;DR: This work analyzes the logs of social media apps on students' smartphones and compares them to students’ credits and grades to provide a quantitative and qualitative estimate of negative and positive correlations.
140 citations
TL;DR: In this article, the authors discuss how computer-mediated communication (CMC), and specifically social media, may affect the mental health and well-being of its users, for better or worse.
Abstract: Computer-mediated communication (CMC), and specifically social media, may affect the mental health (MH) and well-being of its users, for better or worse. Research on this topic has accumulated rapi...
139 citations