Cogent Arts and Humanities· 2026Q2
Reader perceptions and willingness to pay for AI-translated literary fiction
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- Q2SCImago
- 2026year
Short summary
Nearly half of readers remain reluctant to purchase AI-translated novels, even when priced significantly cheaper than human translations, with males showing higher purchase willingness across all price points.
AI-generated from the title and abstract; the full text is not read.
Key points
- A majority of readers are skeptical of AI's literary translation capabilities compared to experienced human translators.
- A plurality of readers expressed willingness to engage with AI-translated literary fiction.
- Nearly 50% of respondents were unwilling to purchase AI-translated novels, even when priced significantly cheaper.
- Male readers showed a consistent higher willingness to purchase AI-translated novels across all pricing conditions.
AI-generated from the title and abstract; the full text is not read.
Abstract
This study explores readers’ perceptions of AI-translated literature and their willingness to pay for it. To this end, an online survey was administered to 138 participants, most of whom hold postgraduate degrees, work in literature-related professions and read literary works regularly. It examined their views on AI’s capability to produce literary translations comparable to those of experienced human translators, their willingness to engage with AI-translated fiction, and their willingness to purchase AI-translated novels under three pricing conditions (the same price as, cheaper than and more expensive than human-translated novels). A substantial majority were skeptical about AI’s ability to match an experienced human translator, yet a plurality was willing to read an AI-translated novel. Even when AI-translated novels were significantly cheaper, nearly half of the respondents remained reluctant to purchase. Regression analysis showed that gender was the most consistent significant demographic predictor, with males more willing to purchase across all pricing conditions. The study offers timely insights for publishers, literary translators, AI developers and translation educators.
The authors' abstract, as published at the source. Cogent Arts and Humanities, 2026 · DOI ↗
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Field: Language and Linguistics
Language and LinguisticsArts and Humanities