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Title: How Do People Read Science Fiction and Why is it Popular: Common Tendencies and Comparative Analysis
Authors: Agafonova, Karina
Bekisheva, Kseniya
Drabenia, Olga
Petrova, Arina
Ivanova, Krassimira
Keywords: Digital Humanities
Comparative Analysis
Data Mining
Topic Modelling
Issue Date: 28-Dec-2021
Publisher: CEUR Workshop Proceedings
Citation: Agafonova K., Bekisheva, Ks., Drabenia, O., Petrova, A., Ivanova, Kr. How Do People Read Science Fiction and Why is Popular: Common Tendencies and Comparative Analysis. Proceedings of the 14th International Conference “Education and Research in the Information Society”, 3061, CEUR Workshop Proceedings, 2021, 43-53
Series/Report no.: CEUR Workshop Proceedings, 3061;05
Abstract: The article presents a study in the field of digital humanities, dedicated to the genre of science fiction, which is one of the most popular in the world and Russia. The assumption is that there should be trends or similarities between highly rated books and also that certain descriptive characteristics could be particular to a specific subgenre. The comparative analysis of the chosen subgenres is made and some tendencies in acquired data from statistical analysis of reader groups and their preferences and topic modelling of the annotations of the books are outlined.
ISSN: 1613-0073
Appears in Collections:SJR

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