I-could-have-written-that: Difference between revisions

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{{Grad project
{{Graduation work
|Year=2016
|Creator=Manetta Berends
|Student=Manetta Berends
|Date=2016
|Featured image=[[File:I-could-have-written-that these-are-the-words mb.png|300px]]
|Workdesc=Text mining algorithms are the hidden actors on the internet, that monitor social media platforms, are used in national security programs, and are starting to review essays written by students in school. Their results seem to be read directly from the data, but this research project shows that text mining results are not read nor mined, they are constructed. The lack of fixed standards, the effect of the metaphor of raw data, and the way in which the term mining disregards the human aspect in the creation of results, question if results are actually read from their source. With these three research topics, this project reveals the writerly nature of this technology.
|Bio=Manetta Berends (1989, NL) has been educated as a graphic designer at the Artez art academy in Arnhem before starting her master-education at the Piet Zwart Institute (PZI), Rotterdam. From the Artez academy she acquired an interest in typography and research based design, which she expanded on in her research projects at the PZI, where she mainly focused on the systemization of language in the field of natural language processing and text mining.
|Bio=Manetta Berends (1989, NL) has been educated as a graphic designer at the Artez art academy in Arnhem before starting her master-education at the Piet Zwart Institute (PZI), Rotterdam. From the Artez academy she acquired an interest in typography and research based design, which she expanded on in her research projects at the PZI, where she mainly focused on the systemization of language in the field of natural language processing and text mining.
|URL=http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/
|Thumbnail=[[File:I-could-have-written-that these-are-the-words mb.png|300px]]
|Website=http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/
|Description=Text mining algorithms are the hidden actors on the internet, that monitor social media platforms, are used in national security programs, and are starting to review essays written by students in school. Their results seem to be read directly from the data, but this research project shows that text mining results are not read nor mined, they are constructed. The lack of fixed standards, the effect of the metaphor of raw data, and the way in which the term mining disregards the human aspect in the creation of results, question if results are actually read from their source. With these three research topics, this project reveals the writerly nature of this technology.
}}
}}
[[File:Perceiving-a-wordcloud.png|600px]]
[[File:Perceiving-a-wordcloud.png|600px]]

Revision as of 22:32, 17 May 2016

I-could-have-written-that
Creator Manetta Berends
Year 2016
Bio Manetta Berends (1989, NL) has been educated as a graphic designer at the Artez art academy in Arnhem before starting her master-education at the Piet Zwart Institute (PZI), Rotterdam. From the Artez academy she acquired an interest in typography and research based design, which she expanded on in her research projects at the PZI, where she mainly focused on the systemization of language in the field of natural language processing and text mining.
Thumbnail [[File:I-could-have-written-that these-are-the-words mb.png|thumb]]
Website http://pzwart1.wdka.hro.nl/~manetta/i-could-have-written-that/

Text mining algorithms are the hidden actors on the internet, that monitor social media platforms, are used in national security programs, and are starting to review essays written by students in school. Their results seem to be read directly from the data, but this research project shows that text mining results are not read nor mined, they are constructed. The lack of fixed standards, the effect of the metaphor of raw data, and the way in which the term mining disregards the human aspect in the creation of results, question if results are actually read from their source. With these three research topics, this project reveals the writerly nature of this technology.



Perceiving-a-wordcloud.png