It is a dashboard with which the users (specifically journalists) can quickly gauge the bias of any resource in Wikipedia. It contains D3.js visualisations and very simple markup and styling. The data sources are DBpedia's and Wikidata's SPARQL endpoints.
(1) Download the archive (click the green github "Clone or download" and then select "Download ZIP"). Unzip the package into any folder.
(2) Double click the index.html file after unzipping to open it in a browser (Chrome or Firefox on Linux or Mac supported, others configurations may work but are untested)
(3) Enter a name and click 'find bias' (e.g. 'Donald Trump') - note that it's case-sensitive
- you can find an entity's URI through Wikipedia. Names are typically are capitalized and use an underscores rather than spaces, e.g. Bernie_Sanders
- hover on tag cloud words to see the DBpedia linked data that connects this word to the selected person
- click on tag cloud words to open DBpedia linked data in the web browser as a separate tab
- you can filter the results based on their origin:
- "select everything" will show you all data
- "self" will show you information directly associated with this entity
- "list" wil give you all the Wikipedia categories that this entity appears in
- "network" will give you information retrieved via other entities that this entity is connected to
- There are various visualisation options to choose from
(4) Read the DBpedia evidence and come to your own informed decision about the selected persons potential biases
BSD (included in release archive)
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