Information flow on COVID-19 over Wikipedia: A case study of 11 languages

Autor:	Woo-Sung Jung, Damin Lee, Danu Kim, Changwook Jung, Jaehyeon Myung, Meeyoung Cha, Jinhyuk Yun, Inho Hong, Diego Saez-Trumper
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	World Wide Web Coronavirus disease 2019 (COVID-19) Computer science Closeness Information source Risk communication Information flow (information theory) Affect (psychology) Information demand
Zdroj:	WWW '21: Companion Proceedings of the Web Conference 2021. Ljubljana, Slovenia, April 19-23, 2021 WWW (Companion Volume)
Popis:	Wikipedia has been a critical information source during the COVID-19 pandemic. Analyzing how information is created, edited, and viewed on this platform can help gain new insights for risk communication strategies for the next pandemic. Here, we study the content editor and viewer patterns on the COVID-19 related documents on Wikipedia using a near-complete dataset gathered of 11 languages over 238 days in 2020. Based on the analysis of the daily access and edit logs on the identified Wikipedia pages, we discuss how the regional and cultural closeness factors affect information demand and supply.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::901a3c947389b9cb460577946f02317d https://hdl.handle.net/21.11116/0000-0008-BA21-121.11116/0000-0008-BA1F-5 Zobrazit plný text záznamu