Hendrianto Masiku

Fake news is false or misleading information presented as news. False stories tend to spread farther, faster, and more broadly than true stories. Some individuals and organizations intentionally applied misleading information for certain benefits. The internet goes quickly, mobile devices became popular, and social media users grow more significant in number, make no boundaries world and connect every user. As a result, information circulates in immense numbers makes to handle fake news manually is impossible. Fake news also affects human psychology. Hoax related to how to cure COVID-19 and the lack of toilet paper has led to casualties and riots. Fake news potentially differs in writing technique compare to real information. In this paper, we discussed a few studies related to fake news detection. Their algorithm can capture writing style in content viz lexicon, syntax, semantic, and discourse. Also, those studies implemented user-based, content-based, and social context-based. It used machine learning, deep learning, and reinforcement learning. Furthermore, education plays a vital role in making people understand the impact of fake news. Itis necessary to do a campaign for all internet users. The national government necessity collaborates with society implement the particular rule for better internet environment.