This system aims to improve people’s media literacy skills through supervising background information of any given articles through artificial intelligence, searching engine technology, semantic analysis, and unstructured database. This will help reduce people’s desire to repost suspicious articles.For our data, we collect various articles and posts from Taiwan＇s mainstream media, including press and social media platforms. For our model, since most of the relevant research is designed for English only, we had to collect the Chinese corpus data and complete the corresponding semantic analysis ourselves. Our Clickbait Model and Title and Content Similarity Model show the excellent results in media literacy of the news in Taiwan.Most of the existing domestic disinformation prevention mechanisms are done through manual review. Though effective, manual inspection is way to slow to catch up with the rapidly growing disinformation. By supplementing the background information of the received messages, we help people understand the reliability of the information they got and reduce their willingness to repost disinformation. This not only avoids labeling and political problems, but it also prevents potential violations of freedom of speech.