Generative AI for Video Translation: Consumer Evaluation in International Markets

Risqo Wahid et al.

Journal of International Marketing2025https://doi.org/10.1177/1069031x251404843article
AJG 3ABDC A
Weight
0.50

Abstract

Generative AI tools (e.g., HeyGen, Adobe Firefly, Invideo AI) now enable marketers to translate videos not only by converting language but also by adjusting speech style, voice, and lip movements. Following this advancement, this exploratory study examined differences in perceived translation quality between AI-translated and human-translated marketing videos in international contexts. Two between-subjects experiments were conducted, involving English-to-Indonesian translation (Study 1) and Indonesian-to-English translation (Study 2). AI translation consistently yielded lower perceived naturality and accent neutrality than human translation. For language comprehension, AI performed worse in Study 1 but better in Study 2, indicating that translation direction matters. However, despite the perceptual differences, the two translation methods did not affect customer engagement intention. This study offers early evidence on how consumers evaluate AI video translation and provides 12 directions for future research.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1177/1069031x251404843

Or copy a formatted citation

@article{risqo2025,
  title        = {{Generative AI for Video Translation: Consumer Evaluation in International Markets}},
  author       = {Risqo Wahid et al.},
  journal      = {Journal of International Marketing},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/1069031x251404843},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Generative AI for Video Translation: Consumer Evaluation in International Markets

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.