Automatic Fake News Detection: Issues and Solutions

Abstract

Internet and social media have gained popularity due to its involvement in human life for any sort of information access and sharing social life stories and events generally. It is observed that every one-in-three person has to access social media platforms throughout the world. With the popularity of social media, there are some issues related to fake information or news. Fake news has a serious impact on societies in terms of ethical, social, and financial matters. It is more serious when fake news is used for any political benefits, against forces and military establishment. This paper presents comprehensive literature to highlight fake news issues and available datasets such as Facebook, Twitter, and Weibo. This paper also discusses the available solutions and algorithms such as naïve based, NLP techniques, artificial intelligence algorithms. The paper reviewed the latest research and reputable journal and technically discussed their highlighted factors. This review paper will benefit the new researchers in the field of automatic fake news detection and prevention for their research.