Evidence map›Paper›PMID 42193694›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Perceived Time Spent on TikTok, Overall User Satisfaction, and Parallel Psychological Costs.

Qian Zhang, Jingjing Yang, Dongyoup Kim

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Qian ZhangCollege of Business Administration, Gachon University, Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.ORCID 0009-0000-2375-6773
Jingjing YangCollege of Business Administration, Gachon University, Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.
Dongyoup KimCollege of Business Administration, Gachon University, Seongnam-daero, Sujeong-gu, Seongnam-si 13120, Gyeonggi-do, Republic of Korea.ORCID 0000-0003-3262-8487

Funding

Gachon University GCU-202304620001
6 · The paper itself

Abstract

With the rapid growth of short-video platforms, it has become increasingly important to understand the psychological processes that sustain prolonged engagement and contribute to individual evaluative responses. This study examines the dual pattern of associations involving perceived time spent on TikTok by investigating whether it is positively associated with overall user satisfaction while also being linked to psychological cost-related responses, including privacy concerns, health consciousness, social interaction anxiety, and social media fatigue. Data were collected through an online survey administered via Prolific and analyzed using structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The findings show that perceived time spent on TikTok is significantly associated with health consciousness and social interaction anxiety. Perceived time spent on TikTok is also directly and positively associated with overall user satisfaction. Moreover, privacy concerns and social media fatigue are negatively associated with overall user satisfaction. The fsQCA results further reveal six configurations associated with high user satisfaction. These configurations illustrate the principle of equifinality and indicate that no single condition reached the conventional threshold for necessity. Overall, the findings suggest that high user satisfaction can coexist with different combinations of psychological cost-related responses, thereby offering a more nuanced account of how users experience short-video platforms.

Indexed as

psychological costsshort video usesocial mediausage time perceptionuser satisfaction

Identifiers

PMID42193694
PMCPMC13203904

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.