# Fake News Detection in Model Integral: A Hybrid CNN-BiLSTM Model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fake-news-detection-in-model-integral-a-hybrid-cnn-bilstm-model/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Renuka Nyayadhish,Chaya Jadhav,Ch Bhupati,Ralph L. Rose,Madala Chaitanya Prabhu |
| Citations | 0 |
| DOI | 10.52088/ijesty.v5i3.1058 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.52088/ijesty.v5i3.1058 |
| OpenAlex ID | https://openalex.org/W4411667157 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Renuka Nyayadhish](https://scholariq.org/researchers/renuka-nyayadhish/)

## Paper journal

- [International Journal of Engineering Science and Information Technology](https://scholariq.org/journals/international-journal-of-engineering-science-and-information-technology/)

## Paper primary topic

- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)

## Paper topics

- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.