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Record W2939105766 · doi:10.2196/12248

Predisposing and Motivational Factors Related to Social Network Sites Use: Systematic Review

2019· review· en· W2939105766 on OpenAlexvenueno aff
Elisa Mancinelli, Giulia Bassi, Silvia Salcuni

Bibliographic record

VenueJMIR Formative Research · 2019
Typereview
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
FundersFondazione Bruno Kessler
KeywordsConscientiousnessPsychologyAgreeablenessBig Five personality traitsExtraversion and introversionPsycINFONeuroticismBelongingnessSocial mediaPersonalityOpenness to experienceSocial psychologySocial network (sociolinguistics)World Wide WebMEDLINE

Abstract

fetched live from OpenAlex

BACKGROUND: Social network sites (SNSs) have been defined as Web services that involve creating a private or semiprivate profile. Through these services, adolescents and adults can maintain and create new relationships. Adolescents, in particular, can be considered the main users of these sites as they spend a lot of time on SNSs. In using SNSs, individuals can exert greater control over the conversation and on the information shared, which is associated with a desire for self-presentation. Moreover, the need for self-presentation is related to personality traits such as those of the Big Five, namely extraversion, neuroticism, openness to experience, agreeableness, and conscientiousness, as well as emotional stability, introversion, narcissism, and motivational aspects. The latter are usually linked to an underlying social purpose that might predispose an individual to using SNSs, with the intent of satisfying particular needs, such as belongingness and interpersonal competency. OBJECTIVE: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method, this study aimed to present a systematic review of the scientific literature regarding the predisposing factors related to the Big Five personality traits and motivational aspects associated with the use of SNSs, for both adolescents (12-19 years) and adults (>20 years). METHODS: A search ranging from 2007 to 2017 was conducted through the academic database of Google Scholar and PsycINFO, in which the following terms and their derivatives were considered: predisposing factors, personality traits, Big Five model, self-esteem, self-presentation, interpersonal competency, social network site, Facebook, motivation, five-factor model, use, abuse, and addiction. Based on a defined list of inclusion and exclusion criteria, a total of 9 papers were finally included in the review. RESULTS: Our findings identified 3 main personality traits to be of greater value: extraversion, neuroticism, and openness to experience. Extraversion was a good predictor of motivation and SNS use, whereas the latter trait showed relevance for age differences. All 3 features further played a role in gender differences. Apart from extraversion, the self-presentational motive was also related to narcissism, whereas the need to belong presented an association with agreeableness and neuroticism. Further underlining the social value behind SNS use, people perceived interpersonal competency as being related to Facebook use intensity. CONCLUSIONS: Extraversion was recognized as the main forerunner for SNS use and motivation for use. Neuroticism seems to be related to an attempt at compensating for difficulties in real-life social contexts. Openness to experiences has a strong valence for both adults and older adults since SNSs are still perceived as a novelty. Moreover, gender differences in SNS usage were observed to be the product of differences in motivation. Implications and limitations of the study were discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.169
GPT teacher head0.499
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2019
Admission routes1
Has abstractyes

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