+ HEALTH The accurate identification of children with refractory Mycoplasma pneumoniae pneumonia (RMPP) remains challe…± LABOR The advent of automation, artificial intelligence and disruptive technologies has affected the role of the Hu…+ ENTERTAINMENT This paper provides a systematic exploration of Artificial Intelligence (AI) for music generation within a cl…− POLICY Generative AI (GenAI) has shifted AI capabilities from discriminative prediction to creative interaction, off…± CLIMATE Automation and sustainability are closely intertwined in the evolution of Industry 4.0 and 5.0, where artific…+ ENTERTAINMENT This article aims to investigate the factors that affect behavioural intention (BI) and user behaviour (UB) a…+ CLIMATE With accelerating climate change and rising global energy consumption, the application of artificial intellig…− HEALTH Biases in medical artificial intelligence (AI) arise and compound throughout the AI lifecycle. These biases c…
TruaceTracing the truth around AISunday, July 19, 2026
Subscribe
TRV-2026-0280Certified recordPeer-reviewed

Generative AI and Media Content Creation: Investigating the Factors Shaping User Acceptance in the Arab Gulf States

This article aims to investigate the factors that affect behavioural intention (BI) and user behaviour (UB) among Arabian users of generative artificial intelligence (GenAI) applications in the context of media content creation. The study’s theoretical framework is grounded in the unified theory of acceptance and use of technology (UTAUT2). A sample of 496 users was analysed using the partial least squares structural equation modelling technique (PLS-SEM). The results revealed that BI is significantly influenced…

Entertainment · G Space — documented gain · certified 2026-07-19 · v1 · article view · machine-readable

Current reading — gain

Among 496 Arabian users, intention to use GenAI for media content creation was most strongly driven by hedonic motivation alongside performance expectancy and other UTAUT2 factors, and actual use was positively driven by facilitating conditions, habit, trust and intention.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-0280, v1: “Generative AI and Media Content Creation: Investigating the Factors Shaping User Acceptance in the Arab Gulf States.” Truvace, 2026-07-19. /record/TRV-2026-0280 (accessed at citation time). sha256 3bb0db7b95079c71…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv13bb0db7b9507…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0280 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.