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Data on social media use related to age, gender and trust constructs of integrity, competence, concern, benevolence and identification.

ABSTRACT: This article contains data collected from self-report surveys of respondents to measure 1) social media usage, 2) age, 3) gender and 4) trust, measured within five major trust constructs of a) Integrity, b) Competence, c) Concern, d) Benevolence and e) Identification. The data includes all instruments used, SPSS syntax, the raw survey data and descriptive statistics from the analyses. Raw data was entered into SPSS software and scrubbed using appropriate techniques in order to prepare the data for analysis. We believe that our dataset and instrument may give important insights related to computers in human behavior, and predicting trust antecedents in social media use such as age, gender, number of hour online and choice of content provider. We have also created a parsimonious five factor trust instrument developed from the extant literature for future research. Hence, this newly developed trust instrument can be used to measure trust not only in social media, but also in other areas such as healthcare, economics and investor relations, CSR, management and education. Moreover, the survey items developed to measure social media use are concise and may be applied to measure social media use in other contexts such as national cultural differences, marketing and tourism. For interpretation and discussion of the data and constructs, please see original article entitled "Who trusts social media" (Warner-Søderholm et al., 2018) [1].

SUBMITTER: Warner-Soderholm G

PROVIDER: S-EPMC5996285 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Data on social media use related to age, gender and trust constructs of integrity, competence, concern, benevolence and identification.

Warner-Søderholm Gillian G Bertsch Andy A Søderholm Annika A

Data in brief 20180321

This article contains data collected from self-report surveys of respondents to measure 1) social media usage, 2) age, 3) gender and 4) trust, measured within five major trust constructs of a) Integrity, b) Competence, c) Concern, d) Benevolence and e) Identification. The data includes all instruments used, SPSS syntax, the raw survey data and descriptive statistics from the analyses. Raw data was entered into SPSS software and scrubbed using appropriate techniques in order to prepare the data f ...[more]

PMID: 29900222

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Project description:ImportanceMental health among children and adolescents is a critical public health issue, and transgender and gender nonbinary youths are at an even greater risk. Social media has been consistently associated with youth mental health, but little is known about how gender identity interacts with this association.ObjectiveTo use a risk and resilience approach to examine the association between social media use and mental health among transgender, gender nonbinary, and cisgender youths.Design, setting, and participantsThis cross-sectional study analyzed data collected from an online survey between May and August 2021. Participants included a random sample of US youths; eligibility requirements included being aged 10 to 17 years and residing in the US. Statistical analysis was performed from February to April 2022.Main outcomes and measuresSocial media use (time, type of use, favorite site, social comparisons, mindfulness, taking intentional breaks, cleaning and curating feeds, problematic use, and media literacy programs at their school) and mental health (depression, emotional problems, conduct problems, and body image) as main outcomes.ResultsParticipants included 1231 youths aged 10 to 17 years from a national quota sample from the United States; 675 (54.8%) identified as cisgender female, 479 (38.9%) as cisgender male, and 77 (6.3%) as transgender, gender nonbinary, or other; 4 (0.3%) identified as American Indian or Alaska Native, 111 (9.0%) as Asian, 185 (15.0%) as Black, 186 (15.1%) as Hispanic or Latinx, 1 (0.1%) as Pacific Islander, 703 (57.1%) as White, and 41 (3.3%) as mixed and/or another race or ethnicity. Gender identity moderated both the strength and the direction of multiple associations between social media practices and mental health: active social media use (eg, emotional problems: B = 1.82; 95% CI, 0.16 to 3.49; P = .03), cleaning and/or curating social media feeds (eg, depression: B = -0.91; 95% CI, -1.98 to -0.09; P = .03), and taking intentional breaks (eg, depression: B = 1.03; 95% CI, 0.14 to 1.92; P = .02).Conclusions and relevanceIn this cross-sectional study of gender identity, social media, and mental health, gender identity was associated with youths' experiences of social media in ways that may have distinct implications for mental health. These results suggest that research about social media effects on youths should attend to gender identity; directing children and adolescents to spend less time on social media may backfire for those transgender and gender nonbinary youths who are intentional about creating safe spaces on social media that may not exist in their offline world.

Dataset Information

Data on social media use related to age, gender and trust constructs of integrity, competence, concern, benevolence and identification.

Publications

Data on social media use related to age, gender and trust constructs of integrity, competence, concern, benevolence and identification.

Similar Datasets

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