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  • Popular Fanfiction Texts (2015-2020): Study of the Changes in Tone and Plots from the Perspective of Computational Linguistics

Popular Fanfiction Texts (2015-2020): Study of the Changes in Tone and Plots from the Perspective of Computational Linguistics

Student: Kazakova Anastasiia

Supervisor: Vladimir V. Guryanov

Faculty: Faculty of Creative Industries

Educational Programme: Data Journalism (Master)

Year of Graduation: 2021

Mass screen culture is taking up more and more media space. The Internet and social media have become a modern medium in which new genres are being born. The fan community has always been closely associated not only with the media product, but with the entire franchise as a whole. This connection, in turn, gave rise to the mutual influence of these two groups on each other. This way, in recent years, creators have been able to directly observe in real time how fans perceive and respond to their work. The purpose of this study was precisely fan literature, and there are two reasons for this. Firstly, most people find it easier to write texts than, for example, draw fan art, which lowers the threshold for entering this area of ​​creativity and makes the final sample more diverse. Secondly, literary texts are much easier to dissect using computational linguistics than other forms of creativity.

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