Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
| Published in: | Discover Artificial Intelligence (Springer) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1869391355006943232 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Artificial Intelligence (Springer) |
| description | |
| discipline_display | Access Artificial Intelligence and Machine Learning |
| discipline_facet | Access Artificial Intelligence and Machine Learning |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:97347 |
| institution | FRELIP |
| journal_source_facet | Discover Artificial Intelligence (Springer) |
| last_indexed | 2026-06-30T03:35:22.423Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Behavior-centric deep learning framework for detecting fake or harmful content using user interaction patterns and side information Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| subject_facet | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| title | Behavior-centric deep learning framework for detecting fake or harmful content using user interaction patterns and side information |
| title_alt | Marco de aprendizaje profundo centrado en el comportamiento para detectar contenido falso o dañino utilizando patrones de interacción del usuario e información secundaria Cadre d'apprentissage profond centré sur le comportement pour détecter les contenus faux ou nuisibles à l'aide de modèles d'interaction utilisateur et d'informations auxiliaires Estrutura de aprendizado profundo centrada no comportamento para detectar conteúdo falso ou prejudicial usando padrões de interação do usuário e informações laterais |
| title_auth | Behavior-centric deep learning framework for detecting fake or harmful content using user interaction patterns and side information |
| title_es_txt | Marco de aprendizaje profundo centrado en el comportamiento para detectar contenido falso o dañino utilizando patrones de interacción del usuario e información secundaria |
| title_fr_txt | Cadre d'apprentissage profond centré sur le comportement pour détecter les contenus faux ou nuisibles à l'aide de modèles d'interaction utilisateur et d'informations auxiliaires |
| title_full | Behavior-centric deep learning framework for detecting fake or harmful content using user interaction patterns and side information |
| title_fullStr | Behavior-centric deep learning framework for detecting fake or harmful content using user interaction patterns and side information |
| title_full_unstemmed | Behavior-centric deep learning framework for detecting fake or harmful content using user interaction patterns and side information |
| title_pt_txt | Estrutura de aprendizado profundo centrada no comportamento para detectar conteúdo falso ou prejudicial usando padrões de interação do usuário e informações laterais |
| title_short | Behavior-centric deep learning framework for detecting fake or harmful content using user interaction patterns and side information |
| title_sort | behavior-centric deep learning framework for detecting fake or harmful content using user interaction patterns and side information |
| topic | Access Artificial Intelligence and Machine Learning General Access Artificial Intelligence and Machine Learning |
| url | https://link.springer.com/article/10.1007/s44163-026-01669-3 |