AI, language processing and synthetic orality
Bibliographic Data
| ID | 12779103 |
|---|---|
| Authors | Néstor Jaimen Lamas (0000-0001-6140-8462, Universidad Nacional Autonoma de Mexico, corresponding author) |
| Year | 2025 |
| Volume | 24 |
| Issue | 3 |
| Pages | 269-282 |
| Publication date | 2025-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Explorations in Media Ecology (JOURNAL) |
| Journal identifiers | ISSN: 1539-7785 • E-ISSN: 2048-0717 |
| Publisher | Intellect (PUBLISHER • GB) |
| DOI | 10.1386/eme_00257_1 |
| OpenAlex | W4416636233 |
| Language | EN |
| References cited | 4 |
Much of what we call artificial intelligence (AI) consists of natural language processing and synthesis tools, obtained through capitalist extraction and mining techniques. As a result, there has been a proliferation of ultra-processed languages, recycled on a loop, which has consequences that cannot fully be understood yet. In the present study I analyse how media ecosystems have been modified by AI, the premise that the consumption of artificial languages has unforeseen and potentially harmful epistemic effects. The relationship of language with context and action, from the theory of Walter J. Ong and Neil Postman, is suggested as a starting point to address new problems such as parasocial relationships, consumption patterns, behavioural changes and the exploitation of user data
Consumption (sociology · Context (archaeology · Natural language · Orality · Point (geometry · Premise · Digital Media and Philosophy · Embodied and Extended Cognition · Humanities and Social Sciences
| Citation velocity | historical |
|---|---|
| Highly cited | No |