This annotation process requires the Data Rangers approach reading differently and focus on facets of each related to character demographics, dialogue, and settings.
“The story does feel different when I quantify it,” according to Howard University, senior African American Studies major at Howard University Cheyenne Freeman, because isolating dialogue, setting, and demographics “amplifies the sociological and psychological parts of the story and the character.” Surprisingly, pulling apart specific elements of a character during the annotation process helped her better understand how those elements work together. Damarian Washington, a junior History major at Howard, similarly shared that when you “break a story into segments,” you establish so much more context and understand how each element acts more like a “connective tissue than a continuous flow.”
Their reflections demonstrate how categorizing a story expands the ways in which we can interpret a story instead of flattening it. The process clarifies relationships between setting, speaker, and character presence. Ultimately, annotating these stories train Data Rangers to see how writers build coherence through structure and detail.
When we convert short fiction into structured data, we are uncovering artistic and structural choices that reveals how carefully a story was constructed in the first place.
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