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COVID-19 Digital Observatory
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=== Code === For code used to produce the data and get started with analysis we have a [https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory github repository] where almost everything lives. If you want to get involved or start using our work please clone the repository! You'll find example analysis scripts that walk through downloading data directly into something like R and producing some minimal analysis to help you get started. The code used to generate the search engine results pages (SERP) data come from Nick Vincent's [https://github.com/nickmvincent/LinkCoordMin SERP scraping project]. ====Keywords==== We currently use and provide three different types of keywords and search terms: * Article names/topics from Wikipedia's [[:wikipedia:Wikipedia:WikiProject_COVID-19|WikiProject Covid-19]] * Wikidata entities generated via the "Main items" described by Wikidata's [https://www.wikidata.org/wiki/Wikidata:WikiProject_COVID-19 WikiProject COVID-19] * Top 25 daily trending search terms from Google and Bing. We also provide translations of keywords into many languages by collecting translations of labels from Wikidata related to the COVID-19 pandemic. This is done by passing keywords and trending Google "related searches" to the Wikidata search API. The resulting Wikidata items are tagged with labels and aliases in many languages. We hope this provides a useful starting point for searches to discover pandemic related social information in languages beyond English. Code for this part of the project, including examples for loading the data in Python and R, is under [https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory <code>keywords</code>] in our git repository. Similarly, resultant data is under [https://covid19.communitydata.science/datasets/keywords/csv/ <code>keywords/csv</code>] on our server.
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