This paper explores how computational methods can be used to capture differences in character representations between online fan communities and the original source material. The study focuses on the Harry Potter franchise, analyzing character mentions, centrality measures, and semantic associations across the Harry Potter novels, the r/HarryPotter subreddit, and Harry Potter fanfiction on Archive of Our Own (AO3).
The key findings include:
Space allocation: Fan communities allocate more attention to secondary and female characters compared to the original novels.
Centrality measures: While fan communities elevate the importance of some secondary characters, the attention boost is focused on a select subset. Main characters in the novels maintain their central positions, but their roles as bridges between other characters are diminished in fan writings.
Semantic associations: The two fan communities exhibit stark differences in their semantic associations of characters, even for the same characters. For example, the male character Draco Malfoy is associated with more feminine and kind attributes in AO3 fanfiction, especially in the context of homosexual romantic pairings.
The results highlight the potential of computational methods to capture the collaborative reconstruction of narrative elements across online communities. This can provide insights into how different groups negotiate and renegotiate the meaning of characters, which may reflect broader social and cultural dynamics.
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by Bianca N.Y. ... om arxiv.org 09-18-2024
https://arxiv.org/pdf/2409.11170.pdfDiepere vragen