Review Article
Analyzing Machine Learning Enabled Fake News Detection Techniques for Diversified Datasets
Table 1
Seven types of fake news [
12].
| S. no. | Type | Details |
| 1. | False connection | If the information is not supported by the headlines, images, or captions. | 2. | False context | If authentic material is accompanied by erroneous metadata. | 3. | Manipulated content | Real info or images that has been tampered with to mislead the public. | 4. | Satire | No malicious purpose, yet it has the ability to deceive. | 5. | Misleading content | Using information to help clarify a problem. | 6. | Imposter content | If real sources are impersonated. | 7. | Fabricated content | New material which is blatantly misleading and intended to hurt people. |
|
|