Search

Search content of the knowledge base.

The search found 3 results in 0.008 seconds.

Search results

  1. Next Generation Literary Machines: The “Dynamic Network Aesthetic” of Contemporary Poetry Generators

    This dissertation investigates the current state of digital poetry generators. The study argues that today’s poetry programs embody a new stage distinct from second- generation digital literature. The new stage projects a “dynamic network aesthetic,” reflective of four trends in Web 2.0 cultural production: the potential for mass aggregation; the adoption of participatory platforms; the instability of textual material; and the unpredictability of individual actors. The chapters interrogate the ways in which the four characteristics emerge in three categories of poetry generators: programs that manipulate user input; programs that manipulate Internet text; and programs that generate autonomous content. Corresponding with the three categories, three theorists of the machine inform the discussion. Donna Haraway, Jean Baudrillard, and Gilles Deleuze each provide apt approaches to twenty-first-century technology. However, each theorist also demonstrates the ways in which recent models of the machine do not yet fully account for the “dynamic network aesthetic” of the Internet era.

    Scott Rettberg - 08.01.2013 - 17:07

  2. Murmurs, Open Corpus of Online Written Poetry – The End of Isolated Poems

    Murmurs seeks to gather and link texts written with a poetic intention and available in the net in order to present them in a consistent form within the outline of a hypertext. These texts will be identified by an algorithm and interconnected through semantic links generated with the use of coincident words.

    Thanks to this process, the texts with poetic format, already published online, will become a sole extensive and surfable piece that can be analyzed and can receive feedback from blogs, twits, and by any other indexable means. This way we seek to generate a piece of e-poetry by uniting those expressive texts in the net that cannot individually be classified as e-poetry. In order to achieve this we will use algorithmic processes, databases, crawlers for indexing, Big Data analysis, all presented as self-generated hypertexts.

    The study of these texts through systems of computer linguistics will allow finding coincidences in the use of language with expressive intentions in the net. In a second moment, an API (application programming interface) will open and allow the free processing of the information gathered.

    Hannah Ackermans - 28.11.2015 - 14:09

  3. Born Digital

    “E-poetry relies on code for its creation, preservation, and display: there is no way to experience a work of e-literature unless a computer is running it—reading it and perhaps also generating it.” Stephanie Strickland outlines 11 rules of electronic poetry.

    Ana Castello - 02.10.2018 - 13:20