In one study, researchers had proposed a multimodal approach combining text and visual analysis of online news stories to automatically detect fake news.

Another study presented a practical architecture of an integrated system for identifying fake news. They have constructed their model in two phases, first is “the Language Model/ Lexicon Generation” and second is “Machine Learning Integration”.
In the future, fake new detections can be more democratic and help people to understand their own fake news consumption.
Limitation
- the limitation of the data set.
- the focus of those studies primarily focus on full-length news articles
Strategy
Given the limitations of fake news detection, it is important for people to differentiate misinformation by themselves.

According to research aimed at increasing student’s ability to identify fake news through information literacy education and content management systems proposed three skills to teach people understanding the information cycle, locating news sources and evaluating news articles.