Markbot Chains: Difference between revisions
From Algolit
(Created page with "Markbot Chain by Florian Van de Weyer, Arts²/Digital Arts Markbot Chain is a social experiment in which the public has a direct influence on the result. The intention is to...") |
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Markbot Chain is a social experiment in which the public has a direct influence on the result. The intention is to integrate responses in a text generation process without applying any filter. | Markbot Chain is a social experiment in which the public has a direct influence on the result. The intention is to integrate responses in a text generation process without applying any filter. | ||
All the questions in the digital files provided by the Mundaneum were automatically extracted. These questions are randomly asked to the public via a terminal. By answering them, people contribute to another database. After each entry, this generates a series of sentences using a Markov chain configuration, an algorithm that is widely used in spam generation. The sentences generated in this way are displayed in the window, and a new question is asked. | All the questions in the digital files provided by the Mundaneum were automatically extracted. These questions are randomly asked to the public via a terminal. By answering them, people contribute to another database. After each entry, this generates a series of sentences using a Markov chain configuration, an algorithm that is widely used in spam generation. The sentences generated in this way are displayed in the window, and a new question is asked. | ||
Revision as of 16:01, 28 February 2019
Markbot Chain by Florian Van de Weyer, Arts²/Section Digital Arts
Markbot Chain is a social experiment in which the public has a direct influence on the result. The intention is to integrate responses in a text generation process without applying any filter.
All the questions in the digital files provided by the Mundaneum were automatically extracted. These questions are randomly asked to the public via a terminal. By answering them, people contribute to another database. After each entry, this generates a series of sentences using a Markov chain configuration, an algorithm that is widely used in spam generation. The sentences generated in this way are displayed in the window, and a new question is asked.