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Difference between revisions of "Markbot Chains"

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By Florian Van de Weyer, student Arts²/Section Digital Arts
 
By Florian Van de Weyer, student Arts²/Section Digital Arts
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[https://gitlab.constantvzw.org/algolit/mundaneum/tree/master/exhibition/1-Writers/markbot_chain Sources on Gitlab]
  
 
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 put to the public via a terminal. By answering them, people contribute to another database. Each entry 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 put to the public via a terminal. By answering them, people contribute to another database. Each entry 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.

Latest revision as of 18:40, 4 June 2019

By Florian Van de Weyer, student Arts²/Section Digital Arts

Sources on Gitlab

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 put to the public via a terminal. By answering them, people contribute to another database. Each entry 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.