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“Twitter, the most brilliant tough love editor you’ll ever have.” Reading and writing socially during the Twitter Fiction Festival

Reading and writing socially during the Twitter Fiction Festival
Authors: Joachim Vlieghe; Kelly L. Page; Kris Rutten;

“Twitter, the most brilliant tough love editor you’ll ever have.” Reading and writing socially during the Twitter Fiction Festival

Abstract

The communication practice of tweeting has fostered numerous literary experiments, like Teju Cole’s series “Small fates” and Jennifer Egan’s novel “Black box”. In late 2012, these experiments culminated in an event that focused on such literary experiments: the first Twitter Fiction Festival. In this paper, we explore how people who participated in the festival use tweeting to embrace and enact writing and reading literature as a social experience. The study includes a participant-centered inquiry based on two one-hour Twitter discussions with 14 participants from the Twitter Fiction Festival as well as analyses of their online literary works and secondary sources related to the festival. We show that festival participants self-identify based on their creative and social practices as artists rather than with traditional labels such as writer or author and are therefore drawn to social media environments.

Country
Belgium
Related Organizations
Keywords

Social media, Twitter Fiction, digital literacy, Articles, digital media, Fiction Writing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold