2019 | 29 | Themenheft

Browsing 2019 | 29 | Themenheft by Subject "database"

Now showing 1 - 2 of 2
  • Article
    Deviating Voice. Representation of Female Characters and Feminist Readings in 1990s Anime
    Ishida, Minori (2019) , S. 22-37
    In the 1990s, Japanese anime sophisticated both their ›visual database‹ and their ›voice database‹ for their character design. These two ›databases‹ usually cooperate in a complementary manner in order to construct characters for an audio-visual medium. In the following article, however, I am going to point out that there are always possibilities of deviation, because, fundamentally, the visual appearance and the voice of the character are created independently. This has, in fact, opened up the possibility to introduce a new style of charac-ters like Haruka Tenou, one of the most popular characters in the Sailor Moon series (1992–1997). According to Azuma Hiroki, moe (affective responses) to-ward characters had drastically altered the reception of anime in the 1990s, preparing the way for the so-called ›kyara-moe‹. Within otaku (fan) cultures, however, another kind of reception took place, which was inspired by female, queer characters, such as Haruka or her successors. Feminist audiences who experienced moe toward these characters interpreted them enthusiastically: with regard to the gender and the sexuality of the protagonists, they created their own narratives.
  • Article
    In Search of Doom. Tracking a Wandering Character Through Data
    Hibbett, Mark (2019) , S. 81-97
    This paper will describe the process of generating a corpus of comics for an examination of the transmedial development of the character Doctor Doom during the period known as ›The Marvel Age‹. It will briefly define what ›The Marvel Age‹ means in these terms, and describe the rationale for choosing which items should be included in the corpus. It will then go into some detail about the use of online comics databases, notably The Grand Comics Data-base, and describe the many difficulties inherent in the use of a dataset that has been collaboratively generated over a long period of time without clear editorial guidance, and suggest data-cleaning methods by which these issues can be mitigated. Finally, it will discuss how this corpus will be used in future to analyse the progress of Doctor Doom’s characterisation through this period.