<hi xmlns="http://www.tei-c.org/ns/1.0" style="font-family:Segoe UI">With this method, we have uncovered approximately 500,000 viral texts, in Ryan Cordell’s words, who uses the social media metaphor to describe reprinting practices in the industrial age.</hi><ref xmlns="http://www.tei-c.org/ns/1.0" target="ftn5" n="5" /> <hi xmlns="http://www.tei-c.org/ns/1.0" style="font-family:Segoe UI">These viral texts were not only hard news. They range from advertisements, or factual texts to poems. However, these texts are not yet categorized into different genres. To add another layer that will make an expanded search possible by adding genre as metadata, we are using unsupervised methods (</hi> <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic" style="font-family:Segoe UI">topic models</hi> <hi xmlns="http://www.tei-c.org/ns/1.0" style="font-family:Segoe UI" xml:space="preserve">, </hi> <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic" style="font-family:Segoe UI">clustering</hi> <hi xmlns="http://www.tei-c.org/ns/1.0" style="font-family:Segoe UI">) and supervised classification methods enabled by manual annotations that were integrated into a web-based interface, an adaptation of the DFR-Browser,</hi><ref xmlns="http://www.tei-c.org/ns/1.0" target="ftn6" n="6" /> <hi xmlns="http://www.tei-c.org/ns/1.0" style="font-family:Segoe UI">and extended by an annotation module.</hi>