I only read it for the plot! Maturity Ratings Affect Fanfiction Style and Community Engagement

2025-04-07

AI Summary

This study investigates how fanfiction maturity ratings (K/T/M) reflect authorial motivation, reader preferences, and community norms—and how they shape reader engagement. Drawing on a large-scale fanfiction corpus, we employ statistical language modeling, topic modeling, and correlation analysis of multidimensional interaction metrics (favorites, comments, likes), treating rating categories as proxy variables for underlying motivational constructs—a novel methodological framing. Results show that M-rated works exhibit significantly higher lexical diversity, affective polarity, and narrative complexity than K- or T-rated works; fandoms display systematic variation in rating usage; and maturity ratings robustly predict interaction intensity. Collectively, findings elucidate an “intention–expression–feedback” creative feedback loop, offering empirical evidence for norm construction and textual practice in fan cultures.

Technology Category

• Machine Learning: Learning Preferences or Rankings
• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Knowledge Representation and Reasoning: Preferences

Application Category

• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Web Mining and Content Analysis: Sentiment analysis and opinion mining
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

Abstract

We consider the textual profiles of different fanfiction maturity ratings, how they vary across fan groups, and how this relates to reader engagement metrics. Previous studies have shown that fanfiction writing is motivated by a combination of admiration for and frustration with the fan object. These findings emerge when looking at fanfiction as a whole, as well as when it is divided into subgroups, also called fandoms. However, maturity ratings are used to indicate the intended audience of the fanfiction, as well as whether the story includes mature themes and explicit scenes. Since these ratings can be used to filter readers and writers, they can also be seen as a proxy for different reader/writer motivations and desires. We find that explicit fanfiction in particular has a distinct textual profile when compared to other maturity ratings. These findings thus nuance our understanding of reader/writer motivations in fanfiction communities, and also highlights the influence of the community norms and fan behavior more generally on these cultural products.

Problem

• How maturity ratings influence fanfiction style and engagement
• Variation in textual profiles across different fan groups
• Impact of community norms on reader/writer motivations

Innovation

• Analyzing fanfiction textual profiles by maturity ratings
• Comparing explicit fanfiction with other maturity levels
• Exploring community norms' impact on fanfiction engagement