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Data · dataset · 2025

Algorithm Awareness and User Motivation as Predictors of TikTok Engagement Among Generation Z in South Jakarta

Listed in Teesside University Research Data Repository

Description

This dataset contains the data used for the article titled “Algorithm Awareness and User Motivation as Predictors of TikTok Engagement Among Generation Z in South Jakarta.” The study examines how various user motivations, based on the Uses and Gratifications framework and levels of algorithm awareness influence engagement behavior on TikTok among Gen Z users. The dataset includes: • Motivation variables (information seeking, entertainment, social interaction, self-expression) • Engagement behavior indicators (consumption, contribution, creation) • Algorithm awareness scores (measured using the AMCA scale) • Final processed dataset used for statistical analysis (SMART-PLS) All data were collected through an online questionnaire and are shared for transparency, replication, and further academic research on social media engagement and algorithmic literacy.

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Provenance · 1 source records, 6 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/mhfkgs7z3c.17 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title