Publicação
The rhetoric of hate in algorithms: a critical analysis of nazi propaganda through the lens of artificial intelligence
| dc.contributor.author | Santos, Nuno | |
| dc.date.accessioned | 2026-06-09T16:13:57Z | |
| dc.date.available | 2026-06-09T16:13:57Z | |
| dc.date.issued | 2026-02-04 | |
| dc.description.abstract | This article proposes a critical analysis of historical propaganda, using the Nazi regime as a case study to explore the role of Artificial Intelligence (AI) in deconstructing hate narratives and detecting contemporary manipulative content. The methodology integrates classical rhetorical analysis with computational approaches in Natural Language Processing (NLP) and Machine Learning (ML). The study focuses on identifying dehumanization patterns, modeling algorithmic dissemination, and evaluating AI effectiveness in developing ethical countermeasures. The results highlight the continuity of historical rhetorical patterns in the digital ecosystem and the urgency of a Human-AI synergy for preserving democratic integrity. Research Question: How can AI detect and classify rhetorical patterns of dehumanization derived from historical propaganda in contemporary digital ecosystems? Scope: This study examines computational methods for propaganda analysis without empirical model training, focusing instead on theoretical frameworks and documented case applications. | eng |
| dc.identifier.doi | 10.5281/ZENODO.18482102 | |
| dc.identifier.other | ba8deafd-2fc0-412b-93ae-b7ef26cabfbe | |
| dc.identifier.uri | http://hdl.handle.net/10400.14/58067 | |
| dc.language.iso | eng | |
| dc.publisher | Zenodo | |
| dc.rights.uri | N/A | |
| dc.subject | Nazi propaganda | eng |
| dc.subject | Rhetoric | eng |
| dc.subject | Artificial intelligence | eng |
| dc.subject | Discourse analysis | eng |
| dc.subject | Hate speech | eng |
| dc.subject | Computational propaganda | eng |
| dc.title | The rhetoric of hate in algorithms: a critical analysis of nazi propaganda through the lens of artificial intelligence | |
| dc.type | preprint | |
| dspace.entity.type | Publication | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 |
Ficheiros
Principais
1 - 1 de 1