When social media facilitates the dark side of consumer–human brand relationships: an investigation into social media-induced sleep problems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose This research investigates the unintended adverse outcomes of consumer–human brand relationships facilitated by social media, particularly the impact of human brand attachment on social media-induced sleep problems. The moderating roles of self-regulation and need-fulfillment focus are examined. Design/methodology/approach A total of 497 valid responses from Indonesian consumers (Study 1) and 273 from US consumers (Study 2) were analyzed using structural equation modeling to empirically evaluate the proposed research model. Findings The results showed that stronger human brand attachment contributed to problematic human brand engagement on social media, which subsequently led to social media-induced sleep problems (i.e. poor social media sleep hygiene, problematic sleep and exhaustion). These effects were intensified by higher self-regulation, especially when consumer need-fulfillment was more promotion-focused (vs prevention-focused). Originality/value This research is among the few studies to highlight the dark side of consumer–human brand relationships in the digital realm. It advances research on social media-induced sleep problems from the perspective of consumer–human brand relationships, offering insights to consumers, parents and governments to inform preventive measures.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it