The ability to understand a speaker's or author's worldview better, whether an openly espoused ideology or one veiled and deeply hidden, should help students hone their critical thinking skills. This article describes an activity which attempts to do just that by applying new data visualization methods to a rhetorical artifact and examining the results through the lens of literary critic Kenneth Burke's (1941) cluster criticism. This method is particularly useful for communication courses that seek to not only teach skills in the construction of arguments and presentations, but also explore how people might become better consumers of arguments created by others. However, this activity is not confined to the field of communication. Applying the visualization and analytical techniques discussed in this article might also prove useful in cognate fields such as literature, anthropology, linguistics, sociology, and political science, which deal with textual data sets that could be easily studied through visualization methods. Burke's cluster criticism requires the critic to determine the key words in a rhetorical piece based on frequency and intensity in an effort to determine the rhetor's terministic screen. Burke's cluster criticism is one of the most basic methods of rhetorical criticism, and typically one of the first to be taught in any rhetorical criticism class. Not only is it a fairly simple method to learn, but it is also a particularly enlightening one, as it offers a base for many other types of rhetorical criticism that build on its concepts. A list of references and suggested readings is included.