Readers of Popular Fiction and Emotion Online

Readers of Popular Fiction and Emotion Online
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流行小说和情感在线读者

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发表时间:
2016
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通讯作者:
Beth Driscoll
Beth Driscoll
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作者:
Beth Driscoll

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流行小说的一个显著特征是,至少有一部分读者可以被认定为粉丝:他们对一本书、一位作者或一种类型有着深刻的了解和热情,并积极参与这些文化产品的非学术性接受。在他的《大众小说》一书中:《文学场域的逻辑与实践》(Logics and Practices of a Literary Field)一书中,肯·盖尔德(Ken Gelder)写道,通俗小说“通常享有一种特殊的读者忠诚度,这种忠诚度不仅可以建立在作家及其作品的基础上(这种情况肯定会发生),还可以建立在整个文学类型和文化的基础上。换句话说,通俗小说有粉丝”(2004年,第81页)。粉丝研究历来将“文本生产力”(Fiske 1992)--杂志、时事通讯、网站等的创建--视为参与的标志;最近,Web 2.0的交互式数字空间增加了此类活动的机会(Booth 2010; Hills 2013; Jenkins et al. 2013)。Goodreads和亚马逊上的评论部分,Twitter上的读书俱乐部,图书博客网络和新闻文章的评论线程都提供了读者可以对流行小说做出回应的空间。本章首先指出,对一本书、一位作者或一种体裁产生文本反应的读者是一个书迷,同时对不同类型的文本反应如何反映不同程度的投资感兴趣。
One of the striking features of popular fiction is that at least part of its readership can be identified as fans: deeply knowledgeable and passionately engaged with a book, author or genre, and active participants in the non-academic reception of these cultural products. In his book Popular Fiction: Logics and Practices of a Literary Field, Ken Gelder writes that popular fiction ‘often enjoys a particular kind of reader loyalty, one that can build itself around not just a writer and his or her body of work (which certainly happens) but the entire genre and the culture that imbues it. In other words, popular fiction has fans’ (2004, p. 81). Fan studies have historically recognized ‘textual productivity’ (Fiske 1992)—the creation of zines, newsletters, websites and so on—as a hallmark of engagement; more recently, the opportunities for such activity have been multiplied by the interactive digital spaces of Web 2.0 (Booth 2010; Hills 2013; Jenkins et al. 2013). Review sections on Goodreads and Amazon, book clubs on Twitter, networks of book blogs and comment threads on news articles all provide spaces where readers can write responses to popular fiction. This chapter begins with the position that a reader who creates a textual response to a book, author or genre is a fan, while remaining interested in the way in which different kinds of textual responses can reflect varying levels of investment.