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Algo News – The Space Between Contemplation and Execution | |||
Anuradha Reddy, University of Malmö | |||
Algo News is a by-product of explorations into news, language and algorithms. Algo News subverts the notion of “bad data” by putting the machine through various stages of malfunction. The machine is programmed to source news content through different media channels with an algorithm that repeatedly auto-generates new stories of each news item. The new content is published back into mass media channels via Twitter and the newspaper. Through these misrepresentations, Algo News opens up spaces for contemplation on machine-thought and its execution against a backdrop of our own intentions for the machine. | |||
This experiment entailed using the Google Translate algorithm to translate a news article in English to another language and back into English. When this experiment was repeated several times across several languages, the new content lost its original meaning on the whole and a new story emerged. The results from the Google Translate experiment were ambiguous, comical, and yet revealing of its learning mechanism i.e. providing subtle hints in the way it made intelligent guesses through the pattern recognition algorithm. | |||
For this prototype, we created an automated Twitter algorithm using the GoSlate and Twython API to auto-generate news stories using the Google Translate machine-learning algorithm. The Twitter profile, called ‘Algo News,’ would post the result of 10 mistranslations from Guardian newspaper articles as Tweets. | |||
''[[http://softwarestudies.projects.cavi.au.dk/index.php/Exe0.2_Anuradha_Reddy more details here]]'' | |||
Revision as of 15:30, 17 May 2016
Algo News – The Space Between Contemplation and Execution Anuradha Reddy, University of Malmö
Algo News is a by-product of explorations into news, language and algorithms. Algo News subverts the notion of “bad data” by putting the machine through various stages of malfunction. The machine is programmed to source news content through different media channels with an algorithm that repeatedly auto-generates new stories of each news item. The new content is published back into mass media channels via Twitter and the newspaper. Through these misrepresentations, Algo News opens up spaces for contemplation on machine-thought and its execution against a backdrop of our own intentions for the machine.
This experiment entailed using the Google Translate algorithm to translate a news article in English to another language and back into English. When this experiment was repeated several times across several languages, the new content lost its original meaning on the whole and a new story emerged. The results from the Google Translate experiment were ambiguous, comical, and yet revealing of its learning mechanism i.e. providing subtle hints in the way it made intelligent guesses through the pattern recognition algorithm. For this prototype, we created an automated Twitter algorithm using the GoSlate and Twython API to auto-generate news stories using the Google Translate machine-learning algorithm. The Twitter profile, called ‘Algo News,’ would post the result of 10 mistranslations from Guardian newspaper articles as Tweets.
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