| Popis: |
Around the globe, social media is serving as a significant source of news for millions of people because of its rapid dissemination, easy access and low cost. However, it has a significant risk in exposing fake news, which may mislead the readers, and it comes at the cost of dubious trustworthiness. Existing content-based analysis techniques are challenged by automatic detection of fake news. On social media, merits and demerits of different techniques of fake detection are studied in review work. For fake news detection, various techniques have been proposed in recent days. For given news, the precise statistical rating is not produced by existing works. Less variance is made by news category and input restrictions. Automatic fake news detection methods are studied in this review and concluded a method for detecting various news. Also, studied the ability of a technique in predicting fake news based on data sources. |
