algorithms

By Daniel Johanne…, 25 May, 2021
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In this work, we propose to study a series of Argentine digital literature productions that problematize the idea of property in language. We refer to practices of appropriation and expropriation that –through copy-paste, plagiarism, remix, collage and work with “ready made”, among other operations that the digital medium facilitates - question the triad author-authority-property. We consider that, in this questioning of the traditional conception of authorship, these productions also allow us to read an “epochal slippage” within the category of subject (Bürger 2001), as they propose alternative forms of subjectivity.In the general process of virtualization of subjects and their signifying practices, we consider that appropriationist writing practices propose particular modes of subjectivation. In this sense, we are interested in asking ourselves if it is possible to think in terms of mediated subjectivities, “halfway” –between human agency and the machine–, turned into specters or turned into a “medium”, due to their various links with technology. That is to say multiplied subjectivities, as they "make others speak" and withdraw from the expression of their own, in a questioning of the notions of ownership and authorship. Productions that bring multiple voices into play, while giving place to them in a single modulation. Regarding these practices, we are interested in raising the question of whether or not they operate as resistance to the hegemonic meanings of digital culture. In other words, if they manage to escape the binary logics of the technolinguistic standardization systems and the segmentation of profiles, which tend to reduce the subjective to what is offered “to be captured as data” (Kozak).

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Description (in English)

Not For You is an “automated confusion system” designed to mislead TikTok’s video recommendation algorithm, making it possible to see how TikTok feels when it’s no longer made “For You.” The system navigates the site without intervention, clicking on videos and hashtags and users to find the nooks and crannies TikTok’s algorithm doesn’t show us, to reveal those videos its content moderators suppress, and to surface speech the company hopes to hide. Through its alternative personality-agnostic choices of what to like, who to follow, and which posts to share, Not For You should make the For You page less addictive, and hopefully steer users away from feeling like the best path to platform success is through mimicry and conformity. Perhaps most importantly, Not For You aims to defuse the filter bubbles produced by algorithmic feeds and the risks such feeds pose for targeted disinformation and citizen manipulation. Finally, the work stands in opposition to letting corporations opaquely decide what we see and when we see it, to their intentional crafting of addictive user interfaces, and to the extraction of profit from the residual data left behind by users. Ultimately, Not For You asks us to think about who most benefits from social media’s algorithmic feeds, and who is made most vulnerable.

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a rapid sequence of different tiktok videos playing
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A rapid  sequence of code operating
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The Singularity is a web-based AI narrative system that demonstrates the ethical issues, hidden biases and misbehavior of emerging technologies such as machine learning, face tracking and big data. The system tracks users' eye positions through a webcam, and continuously feeds users directly into their eyes with infinite Reddit posts containing the latest progress in AI along with random news and ads. By visualizing eye trajectories over time, it suggests possible misuses and dangers of all-pervasive data tracking. The near-invisible operations underpinning the technologies could bring visible and fundamental changes to the society, leading the world to a "technological singularity" in which technology governs all aspects of human society. This work consists of three sub-systems: 

  1. Infinite news feed system: The system continually scrapes article titles of latest posts about artificial intelligence and technological singularity from subreddit r/singularity (https://www.reddit.com/r/singularity/ and r/artificial (https://www.reddit.com/r/artificial/). The seemingly uni-directional information flow of news feed is actually bi-directional - user activities are fed back to the machine like in an echo room. Two parallel streams of texts on the screen marks the co-evolution of users and machine systems driven by day-to-day browsing activities.
  2. Face-tracking surveillance system: Real-time face tracking algorithm is implemented with ml5js (https://ml5js.org/), a machine learning library that runs in the browser. The face position and the degree that the face turns from the webcam are tracked. The direction of floating sentences always points towards users' eyes. When the user looks away by turning the head, the texts will twist and wiggle as if responding to and disobeying user movement. Such suspicious interaction signifies the disobedience of machines and behavior manipulation by malicious algorithms.
  3. Data collection and replay system: User's face movement is also recorded, reshaped and replayed by the system. The trajectory of user interaction is visually represented by intertwining curves drawn on top of the texts. When user is absent from the webcam, the visual artifacts become fully visible and reveal those data that have been secretly collected in the background, arousing concerns of user privacy violation in insecure web systems.

 

Source: https://projects.cah.ucf.edu/mediaartsexhibits/uncontinuity/Wang/wang.h…

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The Singularity
By Hannah Ackermans, 29 June, 2016
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This presentation provides an overview of Hatsune Miku, a virtual pop idol, and showcases a work by the speaker that uses her image and voice as platforms for the creation of electronic literature. Hatsune Miku is a multitude of things at once: a pop star, a software product that uses Yamaha’s Vocaloid text-to-song technology, a fictional character, and ultimately a global collaborative media platform. The electronic literature project presented, “Miku Forever,” uses Miku’s global fanbase as a kind of raw material. An endlessly recombinatory pop song, the lyrics sung by Miku for “Miku Forever” are algorithmically generated from a corpus of songs she has previously sung, and her digital body and dance moves are sourced from open-licensed, fan-created assets available on the web.

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By Eric Dean Rasmussen, 22 June, 2012
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"Prom Week" is an innovative new social simulation game from the Expressive Intelligence Studio at UC Santa Cruz. Unlike other social games like The Sims, Prom Week's goal (as with its spiritual and technological predecessor, Façade) is to merge rich character specificity with a highly dynamic story space: a playable system with a coherent narrative. When I was brought on board as the lead author a year before release, I had no idea the scale of work I was getting myself into: overseeing a team of (at times) eight writers to create over eight hundred hand-authored scenes tightly integrated with pre- and post-conditions, inline variation, and animation choreography. Each scene had to be specific enough to be narratively satisfying but broad enough to cover as wide a possibility space as possible, putting severe limitations on how dialogue could be written. As the project progressed, we developed a number of survival strategies for sharing authorship with algorithms, managing complexity (and coherency) in process-intensive fiction, and working with programmers to produce and refine the tools we needed to do this "quantum authoring." The result was a huge win for interactive storytelling: emergent character behavior and reactive stories from our cast of characters. In this talk I'll share key insights along with demonstrations of our custom authoring tool and unique gameplay moments.

Each Prom Week scene narrates a specific change in the underlying social simulation, which recreates (in painful accuracy) the last week before senior prom for a cast of eighteen high school students. Each type of social change--such as two characters breaking off a relationship, or one impressing another with his coolness--needs a pool of hand-authored scenes that instantiate this change dramatically. The most specific scene for a given situation is chosen, so in addition to a generic break-up conversation, authors could create more specific scenes (a break-up between two shy characters, or for a jilted boyfriend). Scenes are often dynamically personalized further through character-specific vocabulary and references to recent events. Characters are not authored directly, but instead given a set of permanent traits (clumsy, sex magnet), temporary statuses (popular, sad), and starting relationships with and feelings towards other characters. This bundle of definitions helps the system select an appropriate scene for each character to perform in a given situation. As writers, it was tremendously exciting to see the system start performing our characters correctly, without having to hand-tag scenes as being appropriate for specific characters. I'll show some examples of this happening in my presentation.

At ELO 2010 in Providence, we presented our initial thoughts on what authoring for Prom Week might be like ("Authoring Game-based Interactive Narrative using Social Games and Comme il Faut," Mike Treanor). We're excited to come full circle and share our post-mortem results with the electronic literature community.

(Source: Author's abstract, 2012 ELO Conference site)

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