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By Daniel Johanne…, 24 May, 2021
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Abstract (in English)

Hannibal, a drama series which aired on NBC from 2014-2017, experienced an unexpected revival when the show was released for streaming on Netflix in 2020. New fans, many of whom had been too young for the show when it first aired, brought with them a disdain for “problematic” content—ironic given the show itself’s over-the-top engagement with subjects like murder, emotional abuse, and cannibalism. A public incident on Twitter involving series creator Bryan Fuller provoked the ire of these new fans, who perceived an immoral betrayal in his vehement disapproval of “anti-shipping” culture.The topic of this paper addresses an understudied yet integral element of contemporary fan practices in the new decade. “Anti-shipper” or “fancop” ideology, its followers often referred to simply as “antis,” casts itself against the similarly vehement “anti-anti” or “pro-shipper” faction. The former, made up of fans of all ages but predominated by teens and younger adults, posits that fictional works involving taboo content (rape, incest, underage sex, abuse) should not be created, consumed, or promoted, due to being “harmful.” This position, strongly held, induces “fancops” to heavily police the content created by others, to the extent of group harassment, doxxing, and public shaming. The latter, whose loudest voices are generally older, holds to the stance that since works of art and fiction involve no harm to real people, the positions held by “antis” are puritanical and ultimately counterproductive, especially towards those who create and consume “dark” content to cope with their own personal traumas.The outgrowth of media fandom as a primarily niche activity performed within private communities of the 2000s and earlier, to a widely recognized hobby and valid form of participatory digital culture in the 2010s and beyond, has brought fan-writers and fan-artists into the public eye, and thus in direct contact—and often conflict—with creators, non-fans, and the mainstream. “In the public visibility of online publication, the insular nature of fan fiction – which could practically be maintained in its previous offline mode – is dispelled” (Lam 2014).There is much research regarding the conflict in the 2010s between fans and non-fans, creators and actors specifically, as it relates to the “fourth wall” (Zubernis, Larsen 2012) but the newly & involuntarily public nature of fan practices, combined with the dominant and proactive Gen Z attitude towards social justice, has given rise to intense questions of what is permissible in fan activity, as of yet unexamined from an academic perspective.The commerce-driven algorithmic affordances of this era’s mainstream fandom platforms have had the effect of breaking down boundaries between formerly siloed communities—including subcultures with different ideological and philosophical priorities.This paper will use the Hannibal incident to explore sociological questions of anti-shipping behavior, its effects on fan literature production, and its origins within a wider digital environment dominated by discussions of free speech, social justice, and cancel culture. It will argue that the conflict is not new, but its new virulence and visibility can be attributed to drastic shifts in digital platform usage by fan communities.

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Description (in English)

Prism Portraits is a participatory social media archive that challenges the audience to critically re-examine digital photo filters and their effects on our (self-)perception. The project comprises three components: participants’ smartphone cameras, a dedicated hashtag (#prismportraits) and a set of instructions for participants.

The instructions will ask participants to take a selfie, select a hue-based filter (either from their preferred social media platform or a photo-editing software), and share the picture on Instagram using #prismportraits. Participants will also be asked to include a rationale explaining their filter choice, answering a set of questions such as: how does this filter change the way your self-perception in this photo? Seeing yourself in this manner, what emotions and thoughts do you experience? Audience members can search the hashtag to view the other Prism Portraits, and are encouraged to express their reactions to the portraits in the comments.

By offering participants the opportunity to creatively engage and reflect on filtered self-(re)presentation in public online spaces, Prism Portraits disrupts the filter-cliché and creates an awareness of the way in which filters shape our emotional responses to images in digital spaces.

Source: Exhibition Website

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Description (in English)

Cenzobot is a simple Twitter bot that tweets fragments from real historical censorship reviews of publications from the communist era, written by Polish censors between the 1940s and 1990s. Some of the censors were very skilled critics, often well educated, but other were people completely devoid of talent, especially the ones delegated to review books for children and young adults. Twitter, which today is one of the platforms most associated with digital censorship, was chosen as an appropriate tool to tweet censors’ voices. I came up with the idea to tweet fragments of censors’ reviews after the Twitter Bot Purge in February 2018. I expect that my cenzobot will also be purged by Twitter at some point. It is actually the goal of my work.

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By Amirah Mahomed, 29 August, 2018
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All Rights reserved
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Abstract (in English)

This speech is a response to the website, #Idéo2017, which collects, stores and analysis tweets on a variety of topics, such as, political events, social events, cultural events. Given that people consume most of their content on social media every day, it is of value to appreciate this content and the readers' reactions to this content. 

This site works in a way in which they are able to collect the data (tweets), store it so it is search, as well as display their findings in pCharts and graphics. They have designed their search tool as a hybrid system, combining the responses of the tweets of a real-time search to a synthesis of several tweets by aggregation of the information via facets and linguistic calculations of clustering or word clouds.

This platform gives elements of answer to the question of the sharing of meaning, through the constitution of corpus: by the aggregation and the automatic indexing of flows, the developed interface allows the uses of analysis the data, either through the lexicon used (words, associations of words, words and their derivatives, etc.), or according to the authors of the tweets issued.

Description in original language
Abstract (in original language)

Cet article présente la plateforme #Idéo2017 (http://ideo2017.ensea.fr/plateforme/), qui répond au besoin sociétal d’une meilleure compréhension des événements sociaux, politiques, culturels. Les réseaux sociaux font de plus en plus partie du quotidien, notamment en ce qui concerne la « consommation » de l’information (Mercier, 2014). Le service de microblogging Twitter peut être considéré comme un indicateur pour connaître les réactions de ses utilisateurs sur des sujets sociaux (Longhi et Saigh, 2016 à sur la réforme du statut des intermittents), politiques (Longhi, 2014 ; Conover et al., 2011), économiques, etc. Par conséquent, on peut utiliser ces données textuelles pour extraire les émotions, les sentiments, les opinions, des utilisateurs (Kristen et Dan, 2016). Si des travaux universitaires ou industriels existent, les résultats sont difficilement accessibles pour les citoyens intéressés par ce thème. Il existe en parallèle certaines analyses présentées actuellement aux citoyens, mais elles sont déjà agrégées par les médias, médiées par des spécialistes, ou présentent des méthodologies et traitements relativement simples. La méthodologie de la plateforme #Idéo2017 est la suivante: - récupération des tweets sera faite via l’API Twitter puis stockage dans une base de données NoSql MongoDB; - utilisation d'Elasticsearch pour stocker les données (Kononenko et al., 2014) : cela permet d’améliorer le temps de réponse de notre outil surtout lors de l’utilisation du moteur de recherche; - pour la partie d’analyse linguistique et la visualisation des réseaux lexicaux, sémantiques, thématiques, nous utilisons certaines fonctionnalités du logiciel Iramuteq implémentées en PHP et disponibles en open source. Pour la réalisation de certaines analyses dans notre outil, nous apportons des modifications à l’implémentation d’Iramuteq; - nous utilisons également PHP Word Cloud pour un nuage de mots et pChart ainsi que Kibana pour des graphiques permettant de visualiser les interactions dans les communautés, les évolutions temporelles, etc En particulier, le moteur de recherche que nous développons a pour but de proposer à l’utilisateur des recherches intelligentes à facettes sur la totalité des tweets. Afin de nous différencier du moteur de recherche présent sur l’interface de Twitter, nous avons conçu notre outil de recherche comme un système hybride, associant les réponses des tweets d'une recherche en temps réel à une synthèse de plusieurs tweets par agrégation de l'information via les facettes et les calculs linguistiques de clustering ou de nuages de mots. Cette plateforme donne des éléments de réponse à la question du partage de sens, par le biais de la constitution de corpus: par l'agrégation et l'indexation automatique de flux, l'interface développée permet aux usages d'analyse les données, soit à travers le lexique employé (mots, associations de mots, mots et leurs dérivés, etc.), soit en fonction des auteurs des tweets émis.

 

(Source: ELO 2018 Lire et comprendre la littérature électronique I panel, speech Corpus et interfaces: comment penser le partage du sens)

Pull Quotes

Cette plateforme donne des éléments de réponse à la question du partage de sens

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This project was inspired from the magic realist stories of Jorge Luis Borges, but the process is automated by a computer-generated bot that are posting poetry on twitter.

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@bronxzooscobra is the Twitter account purportedly belonging to an Egyptian cobra from the Bronx Zoo.  In 2011, a cobra had escaped from the zoo, and this Twitter account emerged to document her adventures, capturing popular fascination and widespread notoriety. The cobra was subsequently caught and returned to captivity, but continues to tweet. 

Rob Wittig : "this project is, to me, the epitome of a single-voice netprov."

By Davin Heckman, 27 April, 2018
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113-132
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All Rights reserved
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What motivates games of make-believe—collaborative creative play—is not the overcom- ing of an unnecessary obstacle, but the resolution of unavoidable and intolerable tension. Like seismic forces in the earth’s crust, inner wars among our own sub-personalities with their conflicting motivations, as well as outer social tensions among members of social hier- archies, we find rebalancing in the earthquake of laughter. A core piece of advice from the renowned Chicago theatrical improv company Second City is: “There is a wealth of humor available through status differences and the playing thereof. Realize it and play with it. The changes and shifts that are inherent are ripe for the taking” (Libera 2004). Satirization of status and the status quo through travesty, impersonation, and formal mimicry is a long tra- dition in literature and theater. This play of mimicry, parody, and satire is vital to reveal and rebalance relationships of power. An un-satirized world is unlivable. For me the goals of each netprov are: laughter, insight, and empathy. Therefore here is my reformulation of Suits, the flag under which I play: Netprov is the voluntary attempt to heal necessary relationships.

When serious communications are made silly, the world goes cuckoo. Cuckoo birds are brood parasites. They lay their eggs in the nests of other birds. Cuckoo chicks hatch earlier and grow faster than the others, often kicking them out of the nest. We netprov players are cuckoo birds: we lay our eggs in other birds’ nests; we hijack available media for our own nefar . . . er, I mean . . . hilarious purposes. We come from a proud line of cuckoo birds. Like the London riverbank players who took the crazy tradition of court- yard morality plays and hijacked them by asking: could these become as good as the clas- sical tragedies and comedies? Let’s look at some other of our cuckoo ancestors.

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Description (in English)

Dada was a mental system cracker. Think about the poem-algorithm. dadaoverload adapts the mechanics and adds the destruction mode. Tweets are fighting for dominance in this society of the spectacle. enough dada! “zersetze dada!” The world is filled with a dada overload. Today’s source material for Dada are tweets and spam messages, ads and any kind of short messages. Dada (Tzara) used newspaper clippings, cut them down to words and randomly reassembled them. Dada was a creative process in 1916. Today, 100 years later, Dada is everywhere and nowhere. It is massive disintegration of language and communication. It is a process of decomposition as tweets retweet themselves to stay alive. Our Dada destroys tweets. It subverts, undermines, disintegrates and decomposes tweeted messages. You have a stream of live tweets from different sources. You choose a tweet and shoot individual letters out into the tweet universe. Each letter bullet hits a tweet and disintegrates all equivalent letters in this tweet. The tweet now reads different. This happens fast and to all tweets on screen. One of Saturday, July 22 • 579 the tweets becomes the main tweet in the center and shows the process in oversize. Once in a while, you get a full word as bullet. This starts a creative process. The full word shows up in orange and recompose the incomplete gappy tweets: Reality. Truth, Naivity. You also get the choice of intervening with your own inputs and see how you feel when your annotations get destroyed by the Dada Overload bullets. [There are some enhancements. Try them out. You can click together a longer text. You can pause the stream and read the output easier. You can put in your own text spam. You can take an instant picture. You can send a dadaoverload tweet and get an answer from the dadaoverload bot.]

 

(Source: ELO 2017: Book of Abstracts and Catalogs)

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Source: Screenshot of dadaoverload webpage