Wikipedia information quality comparison between idioms - Source

Folder with python scripts used to collect and process data, namely:

get_dataset_lang.py: Generates the dataset from Wikipedia's list of most popular health articles;

ApiInterface.py: Makes requests to the wikimedia API. Insert data into the database with the help of DatabaseInterface.py;

DatabaseInterface.py: Manages the connection to the database;

DatasetProcessor.py: Process each article present in the dataset, from its title, using ApiInterface;

GetAdmins.py: Updates admin users in database from admin list;

CheckBrokenArticles.py: Registers articles that do not exist: from links, even those that are not in the dataset but appeared in the database as links;

CleanWikitextContent.py: Writes the content of an article to a file in wikitext format. Removes the markdown and write the clear text to another file. Calculates the Flesch and Kincaid values (readability), as well as the length of the article;

ParseImagesFromWikitext.py: Gets the number of assets that are images, using wikitext content;

CSVGen.py: Calculates the metrics and writes them to a CSVGen.csv file;

VolatilityCalc.py: Calculates the volatility of the items and writes the results to a volatility.csv file;

GetWpAdmins.py: Registers users who are on the WikiProject Medicine admin list;

GetTranslated.py: Registers the articles that are present in the list of articles translated by the Health Translation TaskForce;

GetSections.py: Registers the sections of articles that are part of the list of sections recommended by WikiProject Medicine;

GetReputatedLinks.py: Registers the links that are on the list of links suggested by the National Institute of Health;

GatherMedicineTemplates.py: Creates file with all relevant medicine templates;

GenerateMedicineMetrics.py: Creates file with all relevant medicine templates.

Implemented for all languages, although only English was used/tested;

ParseTemplatesFromContent.py: Loads the medicine templates into the database. Developed for languages other than English, but only this one has been used/tested;

ParseMedicalInfoboxValues.py: Inserts the medical infobox values into the database;

PutInfoboxInDatabase.py: Places all relevant infoboxes in the database;

StripInfoFromContent.py: Gets the number of tables in the article - not used/tested. Inserts the medical indices into the database;

CategoryUpdate.py: Inserts categories of analyzed articles into the database and create links between articles - categories;

GetAssess.py: Inserts the classification of articles according to the WikiProject Medicine review lists;

GenerateMedicineMetrics.py: Calculates the specific proposed metrics and measures, and received the results in a medicine_metrics.csv file

Felt	Verdi
Data sist oppdatert	13. september 2021
Metadata sist oppdatert	13. september 2021
Opprettet	13. september 2021
Format	ZIP
Lisens	Creative Commons Attribution Share-Alike
Datastore active	False
Has views	False
Id	b7e4e8c9-575d-4cda-9e2f-1df36eeb39b4
Package id	fc2d2154-2056-4681-8b42-226c65017a34
Position	0
State	active
Url type	upload

Source

Tilleggsinformasjon