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Visualizing Wikidata: Using Python to Analyze Identity and Representation in Wikidata about Black Art Exhibitions

dc.contributor.authorjay, winkler
dc.date.accessioned2023-10-16T18:57:03Z
dc.date.available2023-10-16T18:57:03Z
dc.date.issued2022-04
dc.identifier.urihttps://hdl.handle.net/2027.42/179208en
dc.description.abstractFor many of us, adding “wiki” to the end of a Google search is like a cheat code for getting a quick answer. I know the structure of a Wikipedia article, and if I want an answer to a simple question, like “where was E.B. Lewis born”, just finding it on Wikipedia is the fastest way to get it. But what about more complex questions? What if I wanted to know, say, who are all of the Black artists who were born in Philadelphia? For that, I can turn to Wikidata. Wikidata is an attempt to convert all of the world’s information into a structured, queryable dataset.  As part of the 2021 LEADING Fellowship, the team worked a project enhancing and analyzing the available information on Philadelphia’s Black artists. While the project was initially focused on the artists themselves, during the research I became interested in the limitations and challenges of Wikidata as a platform.  There are a number of issues surrounding the way that demographic tagging on Wikidata occurs. As a community resource, Wikidata editors preach extreme caution in applying ethnicity properties to Wikidata items. While some of the reasoning behind this is noble, it causes incompleteness in the catalog and hides how diverse the catalog really is. It also obscures whiteness, which is not represented on Wikidata almost at all. Through use of the Wikidata SPARQL endpoint and Python tools, jay was able to examine some of these challenges by analyzing the data Wikidata provided. This digital poster presentation will examine that process, as well as looking at what Wikidata editors and other libraries are already doing to attempt to mitigate some of these issues.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectwikidataen_US
dc.subjectblack artistsen_US
dc.subjectdata visualizationsen_US
dc.subjectphiladelphiaen_US
dc.titleVisualizing Wikidata: Using Python to Analyze Identity and Representation in Wikidata about Black Art Exhibitionsen_US
dc.typePosteren_US
dc.typePresentationen_US
dc.subject.hlbsecondlevelStatistics and Numeric Data
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/179208/1/jmwinktempleslides.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/9597
dc.identifier.sourcePresentation at "Present Encounters: Digital Humanities Meet Afrofuturism"en_US
dc.identifier.orcid0000-0002-4171-366Xen_US
dc.description.filedescriptionDescription of jmwinktempleslides.pdf : Presentation slides
dc.description.depositorSELFen_US
dc.identifier.name-orcidwinkler, jay; 0000-0002-4171-366Xen_US
dc.working.doi10.7302/9597en_US
dc.owningcollnameInter-university Consortium for Political and Social Research (ICPSR)


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