Deepseek, ChatGPT, and Gemini versus human subtitling
A case study in socio-cultural adaptation in multimedia communication
Bibliographic Data
| ID | 12184142 |
|---|---|
| Authors | Peng Cao (0009-0008-9944-2138, Leshan Normal University), M Khoshsaligheh (0000-0002-6508-1986, Ferdowsi University of Mashhad, corresponding author), Fatemeh Jomhouri (0009-0001-4886-9595, Ferdowsi University of Mashhad) |
| Year | 2025 |
| Pages | 1-19 |
| Publication date | 2025-09-24 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Perspectives (JOURNAL) |
| Journal identifiers | ISSN: 0907-676X • E-ISSN: 1747-6623 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/0907676x.2025.2562024 |
| OpenAlex | W4414561377 |
| Language | EN |
| Citations received | 1 |
| References cited | 45 |
Adaptation (eye · Key (lock · Perspective (graphical · Process (computing · Language, Metaphor, and Cognition · Swearing, Euphemism, Multilingualism · Translation Studies and Practices
Audiovisual Translation
Subtitling Norms for Television
Audiovisual Translation
“What Can ChatGPT Do?” Analyzing Early Reactions to the Innovative AI Chatbot on Twitter
The Utility and Ubiquity of Taboo Words
Prompt Engineering with ChatGPT
The Oxford Handbook of Taboo Words and Language
The opportunities and challenges of ChatGPT in education
AI meets comedy
The layers of subtitling
Translating Cultural References and Sensitive Elements Between Arabic and English
ChatGPT
Can you tell the difference? A study of human vs machine-translated subtitles
A corpus-based study on the English-Chinese swearwords produced by amateur (fansubbing) and professional (prosubbing) subtitling
American House of Cards in Persian
A corpus and questionnaire-based study of textual variables in the subtitling of taboo
Cultural Interchangeability
Readers’ perception of computer-generated news
Algorithms in the newsroom? News readers’ perceived credibility and selection of automated journalism
Censorship and Taboo Maintenance in L1 and LX Swearing
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |