Dataset Information

Associations between Self-Reports and Device-Reports of Social Networking Site Use: An Application of the Truth and Bias Model.

ABSTRACT: People are generally poor reporters of time spent using digital technology. Advancing smartphone features, such as the iOS Screen Time application, allow researchers to obtain more objective measurements of digital technology use. Truth and Bias models were used to test how self-reported social networking site use aligns with device-reported use as recorded by the iOS Screen Time app (N=1585). This study explored use across four major platforms (Facebook, Instagram, Twitter, Snapchat) and examined how individual differences moderate biases in reports. Participants overestimated their use for all platforms at comparable levels. Moderation by individual differences was not consistent. These findings add to the growing call from researchers to utilize assessments other than self-reports in measuring digital technology use.

SUBMITTER: Burnell K

PROVIDER: S-EPMC8294129 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Associations between Self-Reports and Device-Reports of Social Networking Site Use: An Application of the Truth and Bias Model.

Burnell Kaitlyn K George Madeleine J MJ Kurup Allycen R AR Underwood Marion K MK Ackerman Robert A RA

Communication methods and measures 20210430 2

People are generally poor reporters of time spent using digital technology. Advancing smartphone features, such as the iOS Screen Time application, allow researchers to obtain more objective measurements of digital technology use. Truth and Bias models were used to test how self-reported social networking site use aligns with device-reported use as recorded by the iOS Screen Time app (<i>N</i>=1585). This study explored use across four major platforms (Facebook, Instagram, Twitter, Snapchat) and ...[more]

PMID: 34306291

Similar Datasets

Project description:BackgroundAdults who present ADHD symptoms have an increased risk for vehicle accidents. One conceivable overlooked account for this association is the possibility that people with ADHD symptoms use rewarding technologies such as social networking sites (SNS) while driving, more than others. The objective of this study was to understand if and how ADHD symptoms can promote SNS use while driving and specifically to conceptualize and examine mechanisms which may underlie this association. To do so, ADHD is viewed in this study as an underlying syndrome that promotes SNS use while driving in a manner similar to how addictive syndromes promote compulsive seeking of drug rewards.MethodsTime-lagged survey data regarding ADHD, stress, self-esteem, SNS craving experience, SNS use while driving, and control variables were collected from a sample of 457 participants who use a popular SNS (Facebook) and drive, after face-validity examination with a panel of five users and pretest with a sample of 47. These data were subjected to structural equation modeling (SEM) analyses using the frequency of ADHD symptoms measured with ASRS v1.1 Part A as a continuous variable, as well as multivariate analysis of variance using ADHD classification based on ASRS v1.1 scoring guidelines.ResultsADHD symptoms promoted increased stress and reduced self-esteem, which in turn, together with ADHD symptoms, increased one's cravings to use the SNS. These cravings ultimately translated into increased SNS use while driving. Using the ASRS v1.1 classification, people having symptoms highly consistent with ADHD presented elevated levels of stress, cravings to use the SNS, and SNS use while driving, as well as decreased levels of self-esteem. Cravings to use the SNS among men were more potent than among women.ConclusionSNS use while driving may be more prevalent than previously assumed and may be indirectly associated with ADHD symptoms. It is a new form of impulsive and risky behavior which is more common among people with symptoms compatible with ADHD than among others. Consistent with addiction and decision making models, SNS use while driving can be viewed as a form of a compensatory reward seeking behavior. As such, prevention and reduction interventions that target the mediating perceptions and states should be devised.

Dataset Information

Associations between Self-Reports and Device-Reports of Social Networking Site Use: An Application of the Truth and Bias Model.

Publications

Associations between Self-Reports and Device-Reports of Social Networking Site Use: An Application of the Truth and Bias Model.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets