When AI Recontextualizes Research: Authorial Voice in Human- and AI-Generated Medical Ethics Blogs
The 7th International English for Specific Purposes Conference, Ankara, Türkiye, 6 - 07 Kasım 2026, ss.32, (Özet Bildiri)
- Yayın Türü: Bildiri / Özet Bildiri
- Basıldığı Şehir: Ankara
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.32
- TED Üniversitesi Adresli: Evet
Özet
In recent decades, academic blogs have become established venues of recontextualization, where authors exploit the rhetorical flexibility the genre offers, including the chance to write in a more personal and evaluative style, in order to reach broader non-expert audiences (Luzón, 2013). Generative Artificial Intelligence (GenAI) is increasingly playing a key role in recontextualizing published research into different forms of popular science communication such as summaries or blogs for diverse lay audiences (Zhang, 2026). This raises the question of whether GenAI can utilize the lexicogrammatical devices of recontextualization in ways similar to human authors. Building on Yılmaz & Yiğitoğlu Aptoula’s (2025) study on how medical ethics research articles are recontextualized in blog posts written by the same authors, the present study extends this matched design to examine how GenAI can write blog posts about the same articles. The corpus includes a total of 276 texts: 92 medical ethics research articles, 92 corresponding blog posts by the article authors, and 92 AI-generated blog posts based on the same articles. AI blog posts were generated for each research article via ChatGPT-5.6 Sol following the guidelines of the journal blog. Then, Authorial Voice Analyzer (AVA, Yoon, 2017) was used for exploring authorial voice across the corpora. The results showed that AI blog posts made significantly more frequent use of hedges, boosters, attitude markers, and directives, while human blogs used more reader pronouns. In addition, no
significant difference was found in the use of self-mentions across the corpora. The findings thus point to important differences in how humans vs. AI recontextualize the same research articles as blog posts: AI texts relied more on explicit stance and directive marking as opposed to researchers showed stronger reader engagement. The study contributes to ongoing discussions on the role of AI in specialized academic communication and ESP pedagogy.