Recognizing Fake News in Social Media with Deep Learning: A Systematic Review

Abstract

In the last several years' social media has become a pivotal open communication model for connecting people through several platforms and in this generation, social media networks have become extremely popular, people have become more in touch with social media networks. They are using online social networks to keep in touch with other people, relatives, and friends. In the past, people were using verbal and non-verbal networks to share their ideas, opinion, feeling, and emotions with other individuals. Nowadays, people are using social media networks to share their ideas, opinions, and feeling. Also, access to news is effortless and comfort with the using of social media networks which in the past people had to use newspapers and magazines to get aware of the world situations, but now they are using from social media networks to read the latest news just in a minute after a bad or good news occurred in the world.Nowadays, people are addicted to reading the news by using social media networks, which is the easiest way for them, but one issue that sometimes decreases the popularity of social media is dealing with fake news. Here the main work is to seek the best outcome to find and detect fake and misleading news from social media networks. In addition to this, various research articles have pointed out to our research questions that are noticed in section three.