generative

By Lene Tøftestuen, 24 May, 2021
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Abstract (in English)

The paper is devoted to the reading and critical reflection of the generated electronic literary texts. From the structural point of view all textones of generated texts can be divided into standard schemes or patterns (word combinations or the whole sentences that are switched according to the software algorithms). Authors use these schemes to make generated texts close to the natural human language. If we look closer, for example, at generative elit works, most of their verbal patterns look like meaningful expressions. But what makes them meaningful and what kind of meaning can readers get from these patterns? Is it possible to catch the esthetic idea of the whole generated work analyzing these verbal patterns? One of the strategies to reveal the author’s aesthetic concept of the generated work is to identify the key words grid of the separate textone as well as of the whole work. The key words grid allows to catch the thematic dominant and then move to the interpretive strategies of the whole literary work.

(Source: the work itself)

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Description (in English)

In the United States in 2020, face masks became a political symbol: first welcomed as part of assisting emergency workers, and later condemned as a threat to individual liberty, the face mask is an inescapable site of conflict. However, it is also a thing of labor, entwined with the domestic sphere of sewing. 

At the start of the pandemic in March 2020, several news stories emerged about essential objects in the pandemic, as well as various responses to these objects. Included in these stories were so-called “hobbyists,” mainly women, who used sewing machines and even needle and thread to make Personal Protective Equipment, including gowns, hair nets, and especially face masks. Indeed, hundreds of thousands face masks have been crafted by collectives of home sewers, frequently led by and including mainly women donating their time and resources. Their example of collective labor prompts the need to think of the usually invisible forms of making that occur in socially “private” and feminized spaces of labor—such as sewing rooms, kitchens, and offices—as active forms of contribution to safe social practices, altruism, and community-based maker cultures. 

In this exhibition, we center this labor, using generative graphics and texts to imagine those masks: in an endlessly cycling generator, we capture both the imagined making and brief fragments of text centering the imagined, forgotten, and invisible makers who power this collective effort. 

Built using Tracery, HTML5, and Javascript, this endless interactive imagetext generates imaginary masks that represent the lives and thoughts of the fictional people who made them. The fictional crafters in this piece reflect public examples of the crafters during COVID-19 --such as collected news items, social media images, and personal reflections--that are gathered to represent the wealth of diversity, age groups, and communities that participate in collective mask making. Sharing these publicly available resources will more faithfully represent and thus uncover the faces, hands, and labor of mask making during COVID-19. This exhibition invites the viewer to contemplate not only the mask itself, but also the erasure of primarily women, whose collective labor has been ignored, mocked, and diminished even as the US faces a horrifying setback in gender labor equity. By using a format in which content is constantly being generated, Masked Making centers both the crafted object and its crafter as ephemeral and disposable. In doing so, we hope to capture the marginalization of craft at a time when such domestic labor (and indeed, the confinement to the domestic) is literally life-saving. 

Masked Making is a work that keeps its origins in mind: the interactive work will be available online for participants to engage with as a form of knowledge mobilization outreach, communicating the significance of women’s contributions to public audiences as well.

(Source: Authors' abstract)

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By Scott Rettberg, 16 October, 2020
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Abstract (in English)

Each issue of Taper is edited by a collective. Editing and production is done in coordination with The Trope Tank at MIT, a laboratory directed by Bad Quarto proprietor and publisher Nick Montfort. Taper is not officially associated with MIT or hosted on an MIT server, however.

For the fifth issue, the editorial collective consisted of Kyle Booten, Angela Chang, Leonardo Flores, Judy Heflin, and Milton Läufer. 

A constraint was established: the core part of each poem—the HTML on the page after the header—could be no more than a tiny 2KB (2048 bytes). Members of the editorial collective recused themselves from discussion of their own submissions. The collective works independently of the publisher to make selections. We thank Sebastian Bartlett for his help in managing the template.

The work in this fifth issue is written in HTML5, using ES6. It has been tested and found to work properly on current Firefox and Chrome/Chromium browsers across current platforms, as well as on Mac OS X Safari; everything does not work on Edge and iOS Safari.

We encourage readers to view the source code (Ctrl/Command + U) in order to read the artists’ statements as well as the code itself. Be creative when exploring the pieces; some of them are interactive, which you can discover through experimentation or by reading the source code. We invite remixes of published Taper works in future issues.

(Source: Taper #5: Pent Up)

Description (in English)

Created during an AHRC Innovation Placement on Emerging Formats at the British Library, this piece of interactive fiction aims to show some of the difficulties associated with and benefits arising from collecting complex digital works.

https://notagoth.itch.io/the-memory-archivist

Description (in English)

[meme.garden] is an Internet service that blends software art and search tool to visualize participants' interests in prevalent streams of information, encouraging browsing and interaction between users in real time, through time. Utilizing the WordNet lexical reference system from Princeton University, [meme.garden] introduces concepts of temporality, space, and empathy into a network-oriented search tool. Participants search for words which expand contextually through the use of a lexical database. English nouns, verbs, adjectives and adverbs are organized into floating synonym "seeds," each representing one underlying lexical concept. When participants "plant" their interests, each becomes a tree that "grows" over time. Each organism's leaves are linked to related streaming RSS feeds, and by interacting with their own and other participants' trees, participants create a contextual timescape in which interests can be seen growing and changing within an environment that endures.

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Description (in English)

Seedlings_ is a digital media installation that plants words as seeds and lets them grow using the Datamuse API, a data-driven word-finding engine. It is at once an ambient piece in which words and concepts are dislocated and recontextualized constantly, and a playground for the user to create linguistic immigrants and textual nomads. In Seedlings_, a word can be transplanted into a new context, following pre-coded generative rules that are bundled under the names of plants (ginkgo, dandelion, pine, bamboo, ivy…). These generative rules consist of a series of word-finding queries to the Datamuse API such as: words with a similar meaning, adjectives that are used to describe a noun, words that start and end with specific letters. They are then grouped in modules to represent the visual structure of the corresponding plant and can be constrained with a theme word. A new plant can be grafted on top of the previous plant by switching to a new starting point from the latest generative result. Other than words in monospace font, lines of dashes are the only other visual element in the piece, expressing the minimalist aesthetics in these potentially infinite twodimensional linguistic beings. In distributional semantics, words that are used and occur in the same contexts tend to have similar meanings. Based on this hypothesis, words are processed by n-grams, represented and manipulated as vectors in contemporary Machine Learning. With the help of algorithms, we can now identify kinships between words (through similarity or frequent consecutive use) in milliseconds. Seedlings_ reconfigures existing technologies and services in Natural Language Processing as the virtual soil to generate alternative linguistic plants: it seeks new poetic combination of words by encouraging unusual flow of words and concepts.

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Description (in English)

FALSE WORDS 流/言 is an automatic writing machine recombining and reiterating the words “我沒有敵人” (I have no enemies), a quote by the late Nobel Peace Prize laureate Liu Xiaobo in an endless cycles of word play.

Posing as an imaginary conversation, the writing machine spits out rounds of questions and answers by recombining the original words in real-time, forming sentences that are absurd, senseless while at times suggestive and provocative.

During the rounds of writing, an unexpected image and pattern emerges: the character “人” (human) becomes exceptionally legible and discernable, standing out amongst the obscured words and layered texts.  These dispersed “humans” however are eventually being devoured and buried in the process of the endless writing, like all things in history. 

-https://www.ipyukyiu.com/false-words

By Richard Carter, 31 October, 2019
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Abstract (in English)

Contemporary environmental traumas are placing formidable demands on the creative arts when it comes to interrogating their kaleidoscopic complexities and implications. Electronic literature that engages topics of climate, infrastructure, and nonhuman agency is in a promising position here, due to its recasting of extent literary and poetic traditions using the architectures of contemporary digital computing and communications infrastructure. These technologies are involved not just in measuring and mapping a rapidly degrading environment, but their developmental histories and continued functioning are implicated in both embedding and perpetuating the very effects being detected.

This paper, presented at ELO 2019, examines the varied capacities and potentials of electronic literature to critique the present ecological moment. It discusses a selection of three works that engage not only the most evident questions of digital technology in the context of environmental sensing, but which deploy their literary qualities to establish modes of sense-making that reach beyond the peripheries of data-driven eco-discourse. The first two works discussed are the Twitter bot Station 51000 (@_LostBuoy_), by Mark Sample, and This is a Picture of the Wind by J.R. Carpenter. Both are examined in terms of their use of literary language and digital environmental data to place into dialogue human and non-human modes of perception and knowing.

This paper closes by discussing the author's own creative practice, and, in particular, a speculative multimedia project entitled Waveform. This project is one in which an airborne camera drone measures the outlines of incoming ocean waves, and uses the datapoints yielded to generate poems that meditate on practices of measurement and classification in a scientific context. Here, the seemingly Apollonian gaze of airborne sensors are recast using the algorithms of poetry generation, working to examine the deep histories and consequences of treating the world ‘as from above’. The sciences and discourse of the Anthropocene are products of our late scramble to account for the serious damage caused by these attitudes — to map the effects they rendered peripheral to their gaze. It in this way that the critical-creative potentials of electronic literature are summarised and accounted for in this paper.

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Description (in English)

The gladiator Spiculus enters the arena one last time in this text-based simulator. Armed with a sword and shield, he fights gladiator after gladiator until he is killed. The character Spiculus is inspired by one of the most famous gladiators of the 1st century AD Rome. Spiculus won many great battles and was well-known by audiences. He was particularly admired by the emperor Nero who rewarded him with palaces and riches for his heroics.(Source: Author's description)

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First page of the simulator
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One of the simulator's endings
Technical notes

The simulator is a remix and based on the code from the Boromir Death Simulator. It uses Dungeons & Dragons 3rd Edition rules.

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"Future Lore" is a poetry generator that remixes Nick Montfort's poetry generator "Taroko Gorge". It presents a futuristic free-for-all world where chaos rules. 

Pull Quotes

The human breaks the machine.

The posthumans win.

Exiles delete the observers.

  eliminate the artificial digital mysterious unforgiving —

The leader destroys the cyborgs.

Machines conspire.

Drones kill.

The exile corrupts the program.

  infect the surrounding —

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Screenshot of text generated by the poetry generator.