Abstract

The determinants of canon formation are numerous (gatekeeping, cognitive appeal, recombinability, etc.) and hard to disentangle. We therefore work on a simple case for study: online narratives called "creepypastas". The access we have to the work of a vast number of authors, and the relatively scarce intermediation compared to printed literature, make this a quasi-experimental case for testing canon theories. Drawing on a corpus of ca. 25k short-form, user-generated horror ("creepypasta") from Reddit and Fandom (2007-2024), we evaluate three hypotheses: (H1) readable yet stylistically elevated prose raises canonical odds; (H2) uncanny situations embedded in ordinary settings fare better than spectacular monstrosity; (H3) high-arousal affect boosts the virality of a narrative. Stepwise logistic modeling supports H1 and H2 but not H3: canonicity aligns with readable, noun-heavy, descriptively framed narration situated in mundane spaces, while overt high-arousal signals are not decisive once style is accounted for. The results generalize print-era findings on formal economy to platform ecosystems and suggest an online "recipe" for endurance grounded in cognitive ease and affective latency rather than peak arousal. </div>

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Year
2025
Type
preprint
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Alexandre Lionnet-Rollin, Florian Cafiero (2025). What Makes a Creepypasta Stick? On the Recipe for Canonicity of Online Literary Productions. HAL (Le Centre pour la Communication Scientifique Directe) .