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Algorithms as Data: A Case Study for Turning Algorithmic User Experiences into Research Data Objects

Authors: Clark, Jason A.;

Algorithms as Data: A Case Study for Turning Algorithmic User Experiences into Research Data Objects

Abstract

What if algorithms weren’t the Ghost in the Machine? Can/Should algorithms be understood as part of the open data continuum? Montana State University Library, with grant funding from the Institute of Museum and Library Services, has conducted research in order to develop software and a curriculum to support the teaching of "Algorithmic Awareness": an understanding around the rules that govern our software and shape our digital experiences. Taking our inspiration from investigative data journalists, like The Markup, we are looking to introduce our research module for algorithm auditing practices using code, web scraping methods, and structured data formats to uncover proprietary algorithms and turn them into research data objects for analysis.

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algorithms python dataset AlgorithmicAwareness

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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