Abstract
In recent years, with the spread of smartphones, the number of SNS users in younger and older age groups with low Internet literacy has been increasing. LINE, Twitter, and Instagram are some of the SNSs with high usage rates in Japan. Twitter is widely used to gather information on the latest news and current events. However, there are many cases in which tweets containing false or uncertain information are widely spread, and this has become a social problem. For example, there was a nationwide shortage of toilet paper due to the spread of false tweets about a new type of coronavirus. The spread of inaccurate information that can cause people to act incorrectly is a major problem for Twitter, which users increasingly use with low Internet literacy. To prevent users with low Internet literacy from mistakenly recognizing hoaxes as correct information, we are constructing a system to extract and present tweets considered hoaxes and tweets that correct hoaxes, especially for tweets related to the novel coronavirus, which can be life-threatening. In this study, as the first step of our attempt, we analyzed tweets containing "hoaxes" and "lies.
