Fake News Detection Techniques: A Survey

Document Type

Article

Publication Date

Spring 7-2-2024

Abstract

With the spread of smartphones and the use of social communication networks with different groups of people, fake news has been spread to gain some interactions or any other intentions. Unfortunately, people trust social media platforms and believe most in their news even if it is impossible so we can say that any news of any type will find their audience or believers. People’s trust and beliefs translated into actions, so fake news canlead to problems that may affect the economy, politics, or panic atthe individual level. Organizations with malicious intents exploit this point which can be described as a lake of consciousness to perform their goals which can be beating another competitive organization or destroying a country and displacing innocentpeople. Recently, many studies have shown wide interest in the process of classifying false news. The classification of fake news falls under the classification of texts and is a sub-task of understanding natural language. In this paper, a reference surveyis provided for all the methods and methodologies that have been used by researchers to discover fake news that spread through social network sites. The used datasets, classification techniques, models, and results are discussed.

Link to Full Text

Share

COinS