Abstract:
With the rapid development of technology and wide exchange of information, false information or fake news can easily be spread. The challenge not only comes from content that is easily created and manipulated using AI technology such as the Deep fake algorithm, but the presence of social media can spread misinformation throughout the world in a matter of seconds. There are various motivations for creating fake news, such as economic gain and politics. This paper aims to analyze current research on false information using bibliometric methods. Trends in research, as well as links between studies, are evaluated in depth. Emerging research themes is also elaborated. Based on the analysis, the trend on the theme of fake information is currently increasing. Various research are published to understand the phenomenon and to find the potential solutions. Generally two research streams are emerged in this topic. The first stream is focused on the human factors such as educating society to be more critical in responding to the information, and studying human behavior towards the fake news. The second stream is focused on how technology able to help to tackle fake news. Several technologies are often mentioned, such as blockchain to store and trace the spread of fake news, artificial intelligence to categotize true and false information automatically, and social network analysis to analyze chain and distribution of fake news. Based on the literature study, a framework of solution built that combined both human and technological measure to combate the fake news.
