Evidence map›Paper›PMID 38926756›Full record

ArticleBMC psychology2024

Extending the theory of planned behavior model to explain people's behavioral intentions to follow China's AI generated content law.

Jie-Chun Li, Yi Lin, Yi-Chun Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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.

Jie-Chun LiSchool of Marxism, Zhuhai City Polytechnic, Zhuhai, China.
Yi LinSchool of Public Administration, Jilin University, Jilin, China.
Yi-Chun YangFaculty of Business and Management, Beijing Normal University-Hong Kong Baptist University, United International College (UIC), Zhuhai, China. frankie130811@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AI Generated Content Law was extensively promoted in 2023; hence, it is crucial to uncover factors influencing people's behavioral intentions to comply with the AI Generated Content Law. This study extends the theory of planned behavior to explore the factors influencing people to follow AI Generated Content Law in China. In addition to the factors in TPB model, such as one's attitudinal factors, normative factors, and perceived behavioral control, we add another factor-moral obligation to extend the theory of planned behavior model. We used convenient sampling and there were 712 effective samples. Using the statistical software Amos17.0, the result shows that attitude, subjective norms, perceived behavioral control and moral obligation all have positive effects on intentions to follow AI Generated Content Law.

Indexed as

AttitudeIntentionAdultArtificial IntelligenceChinaFemaleHumansMaleModels, PsychologicalMoral ObligationsPsychological TheoryTheory of Planned BehaviorYoung AdultAI generated content lawBehavioral intentionsMoral obligationTheory of planned behavior (TPB)

Identifiers

PMID38926756
PMCPMC11202356

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.