The document outlines a case study conducted by a female student from the University of Bucharest, focusing on the "Friedrich Schiller" House of Culture. This cultural center serves the Romanian German minority and hosts various events and activities. The student identified a digital need within the institution, particularly in attracting and engaging young people in cultural activities. To address this, the student proposed organizing fanfiction events, leveraging the popularity of this creative writing form among teenagers and young adults.
Fanfiction, especially popular in recent years, offers a creative outlet for writers to explore alternative narratives within existing fictional worlds. The study aimed to compare human-written fanfiction with machine-generated fanfiction using natural language processing techniques. Specifically, the analysis included assessing readability, sentiment, textual similarity, and the ability of AI models like ChatGPT to replicate human-authored fanfiction.
The study focused on fanfics inspired by George R.R. Martin's "Fire & Blood," with data collected from platforms like Archive of Our Own (Ao3), Wattpad, and ChatGPT. The analysis revealed nuances in writing styles and content between human and AI-generated fanfiction. Despite minor differences, the machine learning model effectively distinguished between human and AI-generated content.
Overall, the study demonstrates the potential of digital approaches in cultural engagement and offers insights for the "Friedrich Schiller" House of Culture to organize similar events tailored to the interests of young people. It suggests involving specialists to train participants in digital methods and encourages further exploration of fanfiction analysis across different genres and languages.
