Dynamics and characteristics of misinformation related to earthquake predictions on Twitter

In this research, the researchers analyzed misinformation related to the subject of earthquake prediction, which is almost exclusively driven by discrete posts with a low number of retweets. The spread of misinformation on social media can lead to inappropriate behaviors that can make disasters worse. In this study, they focused on tweets containing misinformation about earthquake predictions and analyzed their dynamics. 

The reseachers found that (1) there are significantly more not-misinformation than misinformation tweets; (2) earthquake predictions are continuously present on Twitter with peaks after felt events; and (3) prediction misinformation tweets sometimes link or tag official earthquake notifications from credible sources. These insights indicate that official institutions present on social media should continuously address misinformation (even in quiet times when no event occurred), check that their institution is not tagged/linked in misinformation tweets, and provide authoritative sources that can be used to support their arguments against unfounded earthquake predictions.