Abstract
The democratic credentials of any State are judged by the extent of the freedom of Press/Media enjoys. It provides comprehensive and objective information of all aspects of the country’s Social, Political, Economic and Cultural life. At the same time misuse of the media platforms cannot be ruled out. As the world is advancing very fast in technological terms and other aspects, but there is a need to implement advanced mechanism to deal with the misinformation or fake news disseminated over different means of communication. Artificial intelligence can play a vital role to counter this void. In the age of digital revolution and the widespread usage of social networks, the modalities of information consumption and production were disrupted by the shift to instantaneous transmission. Sometimes the scoop and exclusivity are just for a few minutes. Information spreads like wildfire throughout the world, with little regard for context or critical thought, resulting in the proliferation of fake news. As a result, it is preferable to have a system that allows consumers to obtain balanced news information. Online social groups propagate digital false news or fake news material in the form of shares, reshares, and repostings. This work aims to detect fake news forms dispatched on social networks to enhance the quality of trust and transparency in the social network recommendation system. It provides an overview of traditional techniques used to detect fake news and modern approaches used for multiclassification using unlabeled data.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Media Literacy, Technology, Social Media, Artificial Intelligence, News, Misinformation
