Literature DB >> 34306291

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

Kaitlyn Burnell1, Madeleine J George2, Allycen R Kurup3, Marion K Underwood3, Robert A Ackerman4.   

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.

Entities:  

Keywords:  Measurement Attributes: Measurement; Media; Quantitative Methods; Research Methods; Social Media; Social Networking Sites

Year:  2021        PMID: 34306291      PMCID: PMC8294129          DOI: 10.1080/19312458.2021.1918654

Source DB:  PubMed          Journal:  Commun Methods Meas        ISSN: 1931-2458


  5 in total

1.  The truth and bias model of judgment.

Authors:  Tessa V West; David A Kenny
Journal:  Psychol Rev       Date:  2011-04       Impact factor: 8.934

2.  College Student Samples Are Not Always Equivalent: The Magnitude of Personality Differences Across Colleges and Universities.

Authors:  Katherine S Corker; M Brent Donnellan; Su Yeong Kim; Seth J Schwartz; Byron L Zamboanga
Journal:  J Pers       Date:  2015-10-08

3.  Vaping, smartphones, and social media use among young adults: Snapchat is the platform of choice for young adult vapers.

Authors:  Zachary B Massey; Laurel O Brockenberry; Paul T Harrell
Journal:  Addict Behav       Date:  2020-07-26       Impact factor: 3.913

4.  The Conceptual and Methodological Mayhem of "Screen Time".

Authors:  Linda K Kaye; Amy Orben; David A Ellis; Simon C Hunter; Stephen Houghton
Journal:  Int J Environ Res Public Health       Date:  2020-05-22       Impact factor: 3.390

5.  Screens, Teens, and Psychological Well-Being: Evidence From Three Time-Use-Diary Studies.

Authors:  Amy Orben; Andrew K Przybylski
Journal:  Psychol Sci       Date:  2019-04-02
  5 in total
  2 in total

1.  Correlates of Early Adolescents' Social Media Engagement: The Role of Pubertal Status and Social Goals.

Authors:  Jill M Swirsky; Michelle Rosie; Hongling Xie
Journal:  J Youth Adolesc       Date:  2021-09-18

2.  Reopening after lockdown: the influence of working-from-home and digital device use on sleep, physical activity, and wellbeing following COVID-19 lockdown and reopening.

Authors:  Stijn A A Massar; Alyssa S C Ng; Chun Siong Soon; Ju Lynn Ong; Xin Yu Chua; Nicholas I Y N Chee; Tih Shih Lee; Michael W L Chee
Journal:  Sleep       Date:  2022-01-11       Impact factor: 5.849

  2 in total

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