Social Media and Distraction: An Experience Sampling Study among Adolescents

Siebers, Teun; Beyens, Ine; Pouwels, J. Loes; Valkenburg, Patti M.

doi:10.31219/osf.io/vd3q2

Cited by 9 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Instead, all people are different, so we must examine individual social media users and the relation between social media use and well-being that is specific to them. Some users will show large relations and others won't, leading to overall negligible average relations (Aalbers et al, 2021;Beyens et al, 2020;Siebers et al, 2021;. Figure 2 illustrates that reasoning: The average relation between social media use and well-being is zero, but there is variation around the average relation, such that large negative and large positive relations effectively 'cancel' each other out.…”

Section: A Mismatchmentioning

confidence: 98%

See 1 more Smart Citation

How should we investigate variation in the relation between social media and well-being?

Johannes¹,

Masur²,

Vuorre³

et al. 2021

Preprint

View full text Add to dashboard Cite

The study of the relation between social media use and well-being is at a critical junction. Many researchers find small to no associations, yet policymakers and public stakeholders keep asking for more evidence. One way the field is reacting is by inspecting the variation around average relations – with the goal of describing individual social media users. Here, we argue that such an approach risks losing sight of the most important outcomes of a quantitative social science: estimates of the average relation in a large group. Our analysis begins by describing how the field got to this point. Then, we explain the problems of the current approach of studying variation. Next, we propose a principled approach to quantify, interpret, and explain variation in average relations: (1) conducting model comparisons, (2) defining a region of practical equivalence and testing the theoretical distribution of relations against that region, (3) defining a smallest effect size of interest and comparing it against the theoretical distribution. We close with recommendations to either study moderators as systematic factors that explain variation or to conduct N = 1 studies and qualitative research.

show abstract

Section: A Mismatchmentioning

confidence: 98%

“…In the past year, several analyses of experience sampling data explored this idea of person-specific media effects (Aalbers et al, 2021;Beyens et al, 2020;Siebers et al, 2021;. Based on the assumption that everyone is different, they highlight relations per person and place less focus on the average effect.…”

Section: A Mismatchmentioning

confidence: 99%

How should we investigate variation in the relation between social media and well-being?

Johannes¹,

Masur²,

Vuorre³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The codebook (https://osf.io/y85mp/), the preregistration of the design and sampling plan (https://osf.io/327cx), the preregistration of the analysis plan (https://osf.io/xszta), and the syntaxes used to prepare, analyze, and visualize the data (https://osf.io/5ts3r/) are publicly available on the Open Science Framework (OSF). The anonymized data set that was used for the current study is published on Figshare (Siebers, Beyens, Pouwels, & Valkenburg, 2021).…”

Section: Data Availability Statementmentioning

confidence: 99%

Social Media and Distraction: An Experience Sampling Study among Adolescents

et al. 2021

Self Cite

View full text Add to dashboard Cite

A widespread concern in society is that adolescents experience an increased inability to concentrate and sustain attention because they are continuously distracted by social media. The current experience sampling method (ESM) study examined whether adolescents who use more social media than their peers experience more distraction (between-person association), whether social media use (SMU) and distraction cofluctuate within adolescents (momentary within-person associations), and to what extent this within-person association differs from person to person (person-specific associations). With a sample of 383 adolescents (M age = 14.11), who together completed 35,099 ESM surveys (73% compliance), we found both a positive between-person association (β = .31) and a positive momentary within-person association (β = .12) of SMU with distraction. The momentary within-person association differed from adolescent to adolescent: While SMU and distraction were positively associated among 82.5% of all adolescents, they were not associated among 15.7% of the adolescents, and negatively associated among 1.8% of the adolescents. Additional analyses on the direction of the effect showed that the within-person effect of SMU on subsequent levels of distraction was somewhat stronger (β = .05) than the effect of distraction on subsequent levels of SMU (β = .03).

show abstract

“…All materials of the current study, including the preregistration (https://osf.io/sgmj7/), the codebook (https://osf.io/tbk6u), and the syntaxes (https://osf.io/qezw3/), and all materials of the larger project (https://osf.io/327cx) can be found on the OSF. The anonymized dataset used in our analyses is publicly available on Figshare (Siebers et al, 2023).…”

Section: Data Availabilitymentioning

confidence: 99%

The effects of fragmented and sticky smartphone use on distraction and task delay

Siebers,

Beyens,

Valkenburg

2023

Mobile Media & Communication

View full text Add to dashboard Cite

The smartphone has become an integral part of adolescents’ daily life. Despite the countless affordances of smartphones, concerns have been raised about their enormous potential to cause failures in self-regulation, such as distraction and task delay. The current study investigated whether two smartphone usage patterns, fragmented and sticky smartphone use, are associated with distraction and task delay. For three weeks, we logged the smartphone usage of 160 adolescents (733,359 observations) and assessed their distraction and task delay six times a day with experience sampling (12,723 observations). Using Dynamic Structural Equation Modeling, we found that, overall, adolescents felt more distracted when their smartphone use was more fragmented or sticky. Exploratory analyses indicated that 77% of adolescents experienced increased distraction (i.e., β > .05) when their smartphone use was more fragmented, and 55% when it was sticky. Overall, adolescents did not report more task delay as their smartphone use was more fragmented or sticky. Nonetheless, 22% experienced increased task delay when their smartphone use was more fragmented, and 42% when it was sticky. Together, our findings underline the dynamic nature of smartphone use and its differential impact on self-regulation outcomes.

show abstract

Social Media and Distraction: An Experience Sampling Study among Adolescents

Cited by 9 publications

References 0 publications

How should we investigate variation in the relation between social media and well-being?

How should we investigate variation in the relation between social media and well-being?

Social Media and Distraction: An Experience Sampling Study among Adolescents

The effects of fragmented and sticky smartphone use on distraction and task delay

Contact Info

Product

Resources

About