Dataset de Zenodo · Sobel, Jonathan

A meta analysis of Wikipedia's coronavirus sources during the COVID-19 pandemic

Licencia
CC BY 4.0uso comercial permitidoTexto de la licencia
Esta licencia permite el uso comercial. Normalmente hay que citar al autor; consulta la licencia para ver las condiciones exactas.
Formatos
XLSX, CSV, TXT, PY, BIB, R
Tamaño
1,1 GB
Actualizado
1 mar 2021

Descripción

At the height of the coronavirus pandemic, on the last day of March 2020, Wikipedia in all languages broke a record for most traffic in a single day. Since the breakout of the Covid-19 pandemic at the start of January, tens if not hundreds of millions of people have come to Wikipedia to read - and in some cases also contribute - knowledge, information and data about the virus to an ever-growing pool of articles. Our study focuses on the scientific backbone behind the content people across the world read: which sources informed Wikipedia’s coronavirus content, and how was the scientific research on this field represented on Wikipedia. Using citation as readout we try to map how COVID-19 related research was used in Wikipedia and analyse what happened to it before and during the pandemic. Understanding how scientific and medical information was integrated into Wikipedia, and what were the different sources that informed the Covid-19 content, is key to understanding the digital knowledge echosphere during the pandemic. To delimitate the corpus of Wikipedia articles containing Digital Object Identifier (DOI), we applied two different strategies. First we scraped every Wikipedia…

Descripción de Zenodo, abreviada.

Archivos (63)

  • XLSXweb_regexp_exctracted_citations.xlsx444 kB
  • XLSXcovid_full_corpus_art__news_regexp_exctracted_citations.xlsx429 kB
  • XLSXcovid_full_corpus_art__journal_regexp_exctracted_citations.xlsx340 kB
  • XLSXcovid_full_corpus_art__isbn_regexp_exctracted_citations.xlsx20 kB
  • CSVpress_release_COVID_category.csv20 kB
  • XLSXpreprints_table_210520.xlsx14 kB
  • XLSXpress_release_regexp_exctracted_citations.xlsx12 kB
  • CSVref_COVID_category.csv10 MB
  • XLSXref_regexp_exctracted_citations.xlsx650 kB
  • CSVreport_COVID_category.csv5,7 kB
  • XLSXnews_regexp_exctracted_citations.xlsx385 kB
  • XLSXcovid_full_corpus_art__doi_regexp_exctracted_citations.xlsx102 kB
  • TXTannotated_Altmetric_full_euroPMC_30K_DOI.txt6,9 MB
  • XLSXreport_regexp_exctracted_citations.xlsx6,4 kB
  • XLSXnews_COVID_category.xlsx524 kB
  • TXTannotated_Altmetric_full_wikidump_DOI.txt403 MB
  • CSVnews_COVID_category.csv1 MB
  • CSVNetwork_V0.csv16 kB
  • CSVtop_20_wiki_cited_doi_annotated_europmc_clean.csv9,4 kB
  • XLSXcovid_full_corpus_art__cite_regexp_exctracted_citations.xlsx2 MB
  • XLSXcovid_full_corpus_art__book_regexp_exctracted_citations.xlsx33 kB
  • XLSXcovid_full_corpus_art__pmid_regexp_exctracted_citations.xlsx131 kB
  • CSVurl_COVID_category.csv1,7 MB
  • XLSXtweets_COVID_category.xlsx16 kB
  • XLSXurl_COVID_category.xlsx2,1 MB
  • CSVcitation_dump_010520.csv380 MB
  • XLSXcovid_full_corpus_art__press_release_regexp_exctracted_citations.xlsx9,9 kB
  • CSVtweets_COVID_category.csv5,7 kB
  • XLSXtweet_regexp_exctracted_citations.xlsx5,5 kB
  • TXTannotated_EPMC_wikidump_DOI_clean.txt221 MB
  • XLSXtop_annotated_dois_europmc200520_small.xlsx15 kB
  • XLSXcovid_full_corpus_art__ref_regexp_exctracted_citations.xlsx1,3 MB
  • TXTannotated_EPMC_euroPMC_30K_DOI.txt4,5 MB
  • XLSXurl_regexp_exctracted_citations.xlsx795 kB
  • XLSXcovid_full_corpus_art__report_regexp_exctracted_citations.xlsx5,7 kB
  • CSVjournal_COVID_category.csv374 kB
  • PYjob_submitter.py1,4 kB
  • XLSXcovid_full_corpus_art__template_protected_regexp_exctracted_citations.xlsx4,8 kB
  • TXTannotated_Altmetric_full_COVID_Corpus.txt672 kB
  • PYjob_submitter_europmc.py1,4 kB
  • PYjob_submitter_crossref.py1,4 kB
  • PYjob_submitter_Altmetric.py1,4 kB
  • PYjob_submiter_wiki_dump_citation_extract.py1,6 kB
  • TXTannotated_crossRef_full_COVID_Corpus.txt830 kB
  • PYjob_submiter_wiki_dump_citation_extract_mwcite.py1,6 kB
  • XLSXisbn_regexp_exctracted_citations.xlsx11 kB
  • TXTannotated_crossref_sub_europmc_30K_DOI.txt9,6 MB
  • TXTannotated_EPMC_DOI_COVID19_corpus.txt717 kB
  • XLSXcovid_full_corpus_art__wikihyperlink_regexp_exctracted_citations.xlsx1 MB
  • BIBeuropepmc_covid-19_150520.bib11 MB
  • CSVeuroPMC_table_COVID-19_30K_05122020.csv13 MB
  • TXTfull_corpus_231.txt5,8 kB
  • Rget_anno_epmc_30K.r1,6 kB
  • Rinteractive_paper_art_network.R903 B
  • Rinteractive_timeline.R5,4 kB
  • XLSXtop_20_wiki_cited_doi_annotated_europmc_clean.xlsx15 kB
  • XLSXcovid_full_corpus_art___web_regexp_exctracted_citations.xlsx649 kB
  • XLSXcovid_full_corpus_art__url_regexp_exctracted_citations.xlsx982 kB
  • CSVweb_COVID_category.csv1,2 MB
  • XLSXweb_COVID_category.xlsx438 kB
  • XLSXcovid_full_corpus_art__tweet_regexp_exctracted_citations.xlsx6 kB
  • XLSXtop_20_wiki_cited_doi_annotated_europmc.xlsx17 kB
  • CSVtop_20_wiki_cited_doi_annotated_europmc.csv11 kB

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