Cite Unseen is in beta and is actively being developed. Please note that users may experience bugs or browser incompatibility issues.
Presentation introducing Cite Unseen as delivered at CredCon Austin 2018
|Description||User script that adds iconic indicators to Wikipedia citations|
|Authors||SuperHamster, Sky Harbor|
|Updated||2019-05-19 (116 days ago)|
Cite Unseen is a Wikipedia user script that helps readers quickly evaluate the sources used in a given English Wikipedia article. The script adds iconic indicators to identified sources that indicate various attributes of the source, such as if the source is a news article, opinion piece, or government-controlled. This allows readers to quickly and easily identify the potential orientation and possible ideological biases of the sources used in an article they are reading.
Initially developed at CredCon in November 2018, Cite Unseen is jointly developed by Kevin Payravi (SuperHamster) and Josh Lim (Sky Harbor), with support from the Credibility Coalition and the Knowledge Graph Working Group. The project saw more development at Wikimedia Hackathon 2019.
The template has currently only been developed for and tested with the English Wikipedia. Support for other language versions is in the works.
The script is located at en:User:SuperHamster/CiteUnseen.js. You can add the script to your Wikipedia browsing experience by editing your file and adding the following line:
Cite Unseen will automatically run whenever you open a Wikipedia page.
- GitHub Repository
- Phabricator Board
Anyone is welcome and encouraged to contribute to either the code or JSON categorizations.
Some of the next big goals for the project:
- Ensure wider browser compatibility
- Expand our lists of identified domains
- Support multiple languages
Cite Unseen performs string matching on URLs, as well as checks for different types of citation templates, in order to identify the kind of work and any potential ideological leanings. For identifying exceptionally biased, conspiracy, and fake-news sources, Cite Unseen uses data from Media Bias Fact Check.
- Iterates through every citation in a given Wikipedia article and pulls URLs.
- Checks each URL against a pre-defined list of domains and strings that are categorized by nature (biased, press, news, opinion piece, etc.).
- Injects icons next to citations accordingly.
Currently, Cite Unseen classifies sources into nine types:
|News published in traditional reputable news sources|
|User-generated news (e.g. from websites like Global Voices)|
|Opinion pieces, including op-eds|
|State media, excluding public broadcasters and other outlets where the state does not exercise tight editorial control, and government sources.|
|Tabloid journalism, excluding newspapers that publish in tabloid size but are not tabloids|
|Books and other similar printed matter|