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.